fix: remove isAIDataAnalysisEnabled (ENG-1039) (#8109 )

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
fix: validate displayId ownership on response creation (ENG-825) (#8046 )
2026-05-21 11:49:32 -05:00 · 2026-05-21 15:54:36 +00:00 · 2026-05-21 13:11:19 +00:00 · 2026-05-21 11:41:23 +00:00 · 2026-05-21 11:05:10 +00:00 · 2026-05-21 10:59:35 +00:00
132 changed files with 1342 additions and 585 deletions
@@ -53,7 +53,7 @@ function {QuestionType}({
 }: {QuestionType}Props): React.JSX.Element {
    // Ensure value is always the correct type (handle undefined/null)
    const currentValue = value ?? {defaultValue};
-    
+
    // Detect text direction from content
    const detectedDir = useTextDirection({
        dir,
@@ -63,11 +63,11 @@ function {QuestionType}({
    return (
        <div className="w-full space-y-4" id={elementId} dir={detectedDir}>
            {/* Headline */}
-            <ElementHeader 
-                headline={headline} 
-                description={description} 
-                required={required} 
-                htmlFor={inputId} 
+            <ElementHeader
+                headline={headline}
+                description={description}
+                required={required}
+                htmlFor={inputId}
            />

            {/* Question-specific controls */}
@@ -5,6 +5,7 @@
  "type": "module",
  "scripts": {
    "lint": "eslint . --config .eslintrc.cjs --ext .ts,.tsx --report-unused-disable-directives --max-warnings 0",
+    "typecheck": "tsc --noEmit",
    "preview": "vite preview",
    "storybook": "storybook dev -p 6006",
    "build-storybook": "storybook build",
@@ -1,6 +1,6 @@
 import React from "react";
 import ReactDOM from "react-dom/client";
-import App from "./App.tsx";
+import { App } from "./App.tsx";
 import "./index.css";

 ReactDOM.createRoot(document.getElementById("root")!).render(
@@ -66,11 +66,6 @@ const getFeatureDefinitions = (t: TFunction): TFeatureDefinition[] => {
      labelKey: t("workspace.settings.general.ai_smart_tools_enabled"),
      docsUrl: "https://formbricks.com/docs/self-hosting/configuration/ai",
    },
-    {
-      key: "aiDataAnalysis",
-      labelKey: t("workspace.settings.general.ai_data_analysis_enabled"),
-      docsUrl: "https://formbricks.com/docs/self-hosting/configuration/ai",
-    },
    {
      key: "auditLogs",
      labelKey: t("workspace.settings.enterprise.license_feature_audit_logs"),
@@ -57,7 +57,6 @@ describe("organization AI settings actions", () => {
    mocks.getOrganization.mockResolvedValue({
      id: organizationId,
      isAISmartToolsEnabled: false,
-      isAIDataAnalysisEnabled: false,
    });
    mocks.isInstanceAIConfigured.mockReturnValue(true);
    mocks.getTranslate.mockResolvedValue((key: string, values?: Record<string, string>) =>
@@ -66,7 +65,6 @@ describe("organization AI settings actions", () => {
    mocks.updateOrganization.mockResolvedValue({
      id: organizationId,
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEnabled: false,
    });
    mocks.getIsMultiOrgEnabled.mockResolvedValue(true);
  });
@@ -114,18 +112,15 @@ describe("organization AI settings actions", () => {
      oldObject: {
        id: organizationId,
        isAISmartToolsEnabled: false,
-        isAIDataAnalysisEnabled: false,
      },
      newObject: {
        id: organizationId,
        isAISmartToolsEnabled: true,
-        isAIDataAnalysisEnabled: false,
      },
    });
    expect(result).toEqual({
      id: organizationId,
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEnabled: false,
    });
  });

@@ -194,7 +189,6 @@ describe("organization AI settings actions", () => {
    mocks.getOrganization.mockResolvedValueOnce({
      id: organizationId,
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEnabled: false,
    });
    mocks.isInstanceAIConfigured.mockReturnValueOnce(false);

@@ -71,12 +71,11 @@ export const updateOrganizationNameAction = authenticatedActionClient

 type TOrganizationAISettings = Pick<
  NonNullable<Awaited<ReturnType<typeof getOrganization>>>,
-  "isAISmartToolsEnabled" | "isAIDataAnalysisEnabled"
+  "isAISmartToolsEnabled"
 >;

 type TResolvedOrganizationAISettings = {
  smartToolsEnabled: boolean;
-  dataAnalysisEnabled: boolean;
  isEnablingAnyAISetting: boolean;
 };

@@ -90,16 +89,10 @@ const resolveOrganizationAISettings = ({
  const smartToolsEnabled = Object.hasOwn(data, "isAISmartToolsEnabled")
    ? (data.isAISmartToolsEnabled ?? organization.isAISmartToolsEnabled)
    : organization.isAISmartToolsEnabled;
-  const dataAnalysisEnabled = Object.hasOwn(data, "isAIDataAnalysisEnabled")
-    ? (data.isAIDataAnalysisEnabled ?? organization.isAIDataAnalysisEnabled)
-    : organization.isAIDataAnalysisEnabled;

  return {
    smartToolsEnabled,
-    dataAnalysisEnabled,
-    isEnablingAnyAISetting:
-      (smartToolsEnabled && !organization.isAISmartToolsEnabled) ||
-      (dataAnalysisEnabled && !organization.isAIDataAnalysisEnabled),
+    isEnablingAnyAISetting: smartToolsEnabled && !organization.isAISmartToolsEnabled,
  };
 };

@@ -50,29 +50,18 @@ export const AISettingsToggle = ({
    currentValue: organization.isAISmartToolsEnabled,
    isInstanceConfigured: isInstanceAIConfigured,
  });
-  const displayedDataAnalysisValue = getDisplayedOrganizationAISettingValue({
-    currentValue: organization.isAIDataAnalysisEnabled,
-    isInstanceConfigured: isInstanceAIConfigured,
-  });

-  const handleToggle = async (
-    field: "isAISmartToolsEnabled" | "isAIDataAnalysisEnabled",
-    checked: boolean
-  ) => {
+  const handleToggle = async (checked: boolean) => {
    if (checked && !aiEnablementState.canEnableFeatures) {
      toast.error(aiEnablementBlockedMessage);
      return;
    }

-    setLoadingField(field);
+    setLoadingField("isAISmartToolsEnabled");
    try {
-      const data =
-        field === "isAISmartToolsEnabled"
-          ? { isAISmartToolsEnabled: checked }
-          : { isAIDataAnalysisEnabled: checked };
      const response = await updateOrganizationAISettingsAction({
        organizationId: organization.id,
-        data,
+        data: { isAISmartToolsEnabled: checked },
      });

      if (response?.data) {
@@ -122,7 +111,7 @@ export const AISettingsToggle = ({

      <AdvancedOptionToggle
        isChecked={displayedSmartToolsValue}
-        onToggle={(checked) => handleToggle("isAISmartToolsEnabled", checked)}
+        onToggle={handleToggle}
        htmlId="ai-smart-tools-toggle"
        title={t("workspace.settings.general.ai_smart_tools_enabled")}
        description={t("workspace.settings.general.ai_smart_tools_enabled_description")}
@@ -130,16 +119,6 @@ export const AISettingsToggle = ({
        customContainerClass="px-0"
      />

-      <AdvancedOptionToggle
-        isChecked={displayedDataAnalysisValue}
-        onToggle={(checked) => handleToggle("isAIDataAnalysisEnabled", checked)}
-        htmlId="ai-data-analysis-toggle"
-        title={t("workspace.settings.general.ai_data_analysis_enabled")}
-        description={t("workspace.settings.general.ai_data_analysis_enabled_description")}
-        disabled={isToggleDisabled}
-        customContainerClass="px-0"
-      />
-
      {!canEdit && (
        <Alert variant="warning">
          <AlertDescription>
@@ -9,7 +9,6 @@ import {
 import { getUser } from "@/lib/user/service";
 import { getTranslate } from "@/lingodotdev/server";
 import {
-  getIsAIDataAnalysisEnabled,
  getIsAISmartToolsEnabled,
  getIsMultiOrgEnabled,
  getWhiteLabelPermission,
@@ -38,14 +37,11 @@ const Page = async (props: Readonly<{ params: Promise<{ workspaceId: string }> }

  const user = session?.user?.id ? await getUser(session.user.id) : null;

-  const [isMultiOrgEnabled, hasWhiteLabelPermission, hasAISmartToolsPermission, hasAIDataAnalysisPermission] =
-    await Promise.all([
-      getIsMultiOrgEnabled(),
-      getWhiteLabelPermission(organization.id),
-      getIsAISmartToolsEnabled(organization.id),
-      getIsAIDataAnalysisEnabled(organization.id),
-    ]);
-  const hasAIPermission = hasAISmartToolsPermission || hasAIDataAnalysisPermission;
+  const [isMultiOrgEnabled, hasWhiteLabelPermission, hasAIPermission] = await Promise.all([
+    getIsMultiOrgEnabled(),
+    getWhiteLabelPermission(organization.id),
+    getIsAISmartToolsEnabled(organization.id),
+  ]);

  const isDeleteDisabled = !isOwner || !isMultiOrgEnabled;
  const currentUserRole = currentUserMembership?.role;
@@ -4,7 +4,6 @@ import { ZOrganizationUpdateInput } from "@formbricks/types/organizations";

 export const ZOrganizationAISettingsInput = ZOrganizationUpdateInput.pick({
  isAISmartToolsEnabled: true,
-  isAIDataAnalysisEnabled: true,
 });

 export const ZUpdateOrganizationAISettingsAction = z.object({
@@ -2,7 +2,7 @@

 import { z } from "zod";
 import { ZId } from "@formbricks/types/common";
-import { OperationNotAllowedError, ResourceNotFoundError, UnknownError } from "@formbricks/types/errors";
+import { InvalidInputError, OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
 import { getEmailTemplateHtml } from "@/app/(app)/workspaces/[workspaceId]/surveys/[surveyId]/(analysis)/summary/lib/emailTemplate";
 import { capturePostHogEvent } from "@/lib/posthog";
 import { getSurvey, updateSurvey } from "@/lib/survey/service";
@@ -176,7 +176,7 @@ export const generatePersonalLinksAction = authenticatedActionClient
    );

    if (!contactsResult || contactsResult.length === 0) {
-      throw new UnknownError("No contacts found for the selected segment");
+      throw new InvalidInputError("No contacts found for the selected segment");
    }

    capturePostHogEvent(
@@ -1,10 +1,11 @@
 import { Prisma } from "@prisma/client";
+import type { PrismaClientKnownRequestError } from "@prisma/client/runtime/library";
 import { PrismaErrorType } from "@formbricks/database/types/error";

-export const isPrismaKnownRequestError = (error: unknown): error is Prisma.PrismaClientKnownRequestError =>
+export const isPrismaKnownRequestError = (error: unknown): error is PrismaClientKnownRequestError =>
  error instanceof Prisma.PrismaClientKnownRequestError;

-export const isSingleUseIdUniqueConstraintError = (error: Prisma.PrismaClientKnownRequestError): boolean => {
+export const isSingleUseIdUniqueConstraintError = (error: PrismaClientKnownRequestError): boolean => {
  if (error.code !== PrismaErrorType.UniqueConstraintViolation) {
    return false;
  }
@@ -9,12 +9,12 @@ const mocks = vi.hoisted(() => ({
  getSurvey: vi.fn(),
  getValidatedResponseUpdateInput: vi.fn(),
  loggerError: vi.fn(),
+  resolveClientApiIds: vi.fn(),
  sendToPipeline: vi.fn(),
  updateResponseWithQuotaEvaluation: vi.fn(),
  validateFileUploads: vi.fn(),
  validateOtherOptionLengthForMultipleChoice: vi.fn(),
  validateResponseData: vi.fn(),
-  resolveClientApiIds: vi.fn(),
 }));

 vi.mock("@formbricks/logger", () => ({
@@ -128,11 +128,11 @@ describe("putResponseHandler", () => {
    });
    mocks.getResponse.mockResolvedValue(getBaseExistingResponse());
    mocks.getSurvey.mockResolvedValue(getBaseSurvey());
+    mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
    mocks.updateResponseWithQuotaEvaluation.mockResolvedValue(getBaseUpdatedResponse());
    mocks.validateFileUploads.mockReturnValue(true);
    mocks.validateOtherOptionLengthForMultipleChoice.mockReturnValue(null);
    mocks.validateResponseData.mockReturnValue(null);
-    mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
  });

  test("returns a bad request response when the response id is missing", async () => {
@@ -245,6 +245,34 @@ describe("putResponseHandler", () => {
    });
  });

+  test("returns not found when the workspace id cannot be resolved", async () => {
+    mocks.resolveClientApiIds.mockResolvedValue(null);
+
+    const result = await putResponseHandler(createHandlerParams({ workspaceId: "unknown_workspace_or_env" }));
+
+    expect(result.response.status).toBe(404);
+    await expect(result.response.json()).resolves.toEqual({
+      code: "not_found",
+      message: "Workspace not found",
+      details: {
+        resource_id: "unknown_workspace_or_env",
+        resource_type: "Workspace",
+      },
+    });
+    expect(mocks.getResponse).not.toHaveBeenCalled();
+    expect(mocks.updateResponseWithQuotaEvaluation).not.toHaveBeenCalled();
+  });
+
+  test("accepts updates when the route param is a legacy environment id that resolves to the survey workspace", async () => {
+    mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
+
+    const result = await putResponseHandler(createHandlerParams({ workspaceId: "legacy_environment_id" }));
+
+    expect(mocks.resolveClientApiIds).toHaveBeenCalledWith("legacy_environment_id");
+    expect(result.response.status).toBe(200);
+    expect(mocks.updateResponseWithQuotaEvaluation).toHaveBeenCalledTimes(1);
+  });
+
  test("rejects updates when the response survey does not belong to the requested workspace", async () => {
    mocks.getSurvey.mockResolvedValue({
      ...getBaseSurvey(),
@@ -1,7 +1,12 @@
 import { Prisma } from "@prisma/client";
 import { afterEach, beforeEach, describe, expect, test, vi } from "vitest";
 import { prisma } from "@formbricks/database";
-import { DatabaseError, ResourceNotFoundError, UniqueConstraintError } from "@formbricks/types/errors";
+import {
+  DatabaseError,
+  InvalidInputError,
+  ResourceNotFoundError,
+  UniqueConstraintError,
+} from "@formbricks/types/errors";
 import { TSurveyQuota } from "@formbricks/types/quota";
 import { TResponseInput } from "@formbricks/types/responses";
 import { getOrganization } from "@/lib/organization/service";
@@ -155,6 +160,16 @@ describe("createResponse", () => {
    await expect(createResponse(mockResponseInput, prisma)).rejects.toThrow(UniqueConstraintError);
  });

+  test("should throw InvalidInputError on P2002 with displayId target (race condition)", async () => {
+    const prismaError = new Prisma.PrismaClientKnownRequestError("Unique constraint failed", {
+      code: "P2002",
+      clientVersion: "test",
+      meta: { target: ["displayId"] },
+    });
+    vi.mocked(prisma.response.create).mockRejectedValue(prismaError);
+    await expect(createResponse(mockResponseInput, prisma)).rejects.toThrow(InvalidInputError);
+  });
+
  test("should throw original error on other Prisma errors", async () => {
    const genericError = new Error("Generic database error");
    vi.mocked(prisma.response.create).mockRejectedValue(genericError);
@@ -2,7 +2,12 @@ import "server-only";
 import { Prisma } from "@prisma/client";
 import { prisma } from "@formbricks/database";
 import { TContactAttributes } from "@formbricks/types/contact-attribute";
-import { DatabaseError, ResourceNotFoundError, UniqueConstraintError } from "@formbricks/types/errors";
+import {
+  DatabaseError,
+  InvalidInputError,
+  ResourceNotFoundError,
+  UniqueConstraintError,
+} from "@formbricks/types/errors";
 import { TResponseWithQuotaFull } from "@formbricks/types/quota";
 import { TResponse, TResponseInput, ZResponseInput } from "@formbricks/types/responses";
 import { TTag } from "@formbricks/types/tags";
@@ -11,6 +16,7 @@ import {
  isSingleUseIdUniqueConstraintError,
 } from "@/app/api/client/[workspaceId]/responses/lib/response-error";
 import { buildPrismaResponseData } from "@/app/api/v1/lib/utils";
+import { assertDisplayOwnership } from "@/lib/display/service";
 import { getOrganization } from "@/lib/organization/service";
 import { calculateTtcTotal } from "@/lib/response/utils";
 import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
@@ -104,6 +110,16 @@ export const createResponse = async (

    const ttc = initialTtc ? (finished ? calculateTtcTotal(initialTtc) : initialTtc) : {};

+    if (responseInput.displayId) {
+      await assertDisplayOwnership(
+        responseInput.displayId,
+        workspaceId,
+        responseInput.surveyId,
+        contact?.id ?? null,
+        tx
+      );
+    }
+
    const prismaData = buildPrismaResponseData(
      { ...responseInput, createdAt: undefined, updatedAt: undefined },
      contact,
@@ -131,6 +147,13 @@ export const createResponse = async (
    return response;
  } catch (error) {
    if (isPrismaKnownRequestError(error)) {
+      if (
+        error.code === "P2002" &&
+        Array.isArray(error.meta?.target) &&
+        error.meta.target.includes("displayId")
+      ) {
+        throw new InvalidInputError(`Display ${responseInput.displayId} is already linked to a response`);
+      }
      if (isSingleUseIdUniqueConstraintError(error)) {
        throw new UniqueConstraintError("Response already submitted for this single-use link");
      }
@@ -51,7 +51,6 @@ const mockOrganization: TOrganization = {
    usageCycleAnchor: new Date(),
  },
  isAISmartToolsEnabled: false,
-  isAIDataAnalysisEnabled: false,
 };

 const mockFollowUp: TSurveyCreateInputWithWorkspaceId["followUps"][number] = {
@@ -2,7 +2,12 @@ import { Prisma } from "@prisma/client";
 import { afterEach, beforeEach, describe, expect, test, vi } from "vitest";
 import { prisma } from "@formbricks/database";
 import { TContactAttributes } from "@formbricks/types/contact-attribute";
-import { DatabaseError, ResourceNotFoundError, UniqueConstraintError } from "@formbricks/types/errors";
+import {
+  DatabaseError,
+  InvalidInputError,
+  ResourceNotFoundError,
+  UniqueConstraintError,
+} from "@formbricks/types/errors";
 import { TResponseWithQuotaFull, TSurveyQuota } from "@formbricks/types/quota";
 import { TResponse } from "@formbricks/types/responses";
 import { TTag } from "@formbricks/types/tags";
@@ -190,7 +195,19 @@ describe("createResponse V2", () => {
    ).rejects.toThrow(UniqueConstraintError);
  });

-  test("should throw DatabaseError on P2002 without singleUseId target", async () => {
+  test("should throw DatabaseError on P2002 without singleUseId or displayId target", async () => {
+    const prismaError = new Prisma.PrismaClientKnownRequestError("Unique constraint failed", {
+      code: "P2002",
+      clientVersion: "test",
+      meta: { target: ["someOtherField"] },
+    });
+    vi.mocked(mockTx.response.create).mockRejectedValue(prismaError);
+    await expect(
+      createResponse(mockResponseInput, mockTx as unknown as Prisma.TransactionClient)
+    ).rejects.toThrow(DatabaseError);
+  });
+
+  test("should throw InvalidInputError on P2002 with displayId target (race condition)", async () => {
    const prismaError = new Prisma.PrismaClientKnownRequestError("Unique constraint failed", {
      code: "P2002",
      clientVersion: "test",
@@ -199,7 +216,7 @@ describe("createResponse V2", () => {
    vi.mocked(mockTx.response.create).mockRejectedValue(prismaError);
    await expect(
      createResponse(mockResponseInput, mockTx as unknown as Prisma.TransactionClient)
-    ).rejects.toThrow(DatabaseError);
+    ).rejects.toThrow(InvalidInputError);
  });

  test("should throw DatabaseError on non-P2002 Prisma known request error", async () => {
@@ -2,7 +2,12 @@ import "server-only";
 import { Prisma } from "@prisma/client";
 import { prisma } from "@formbricks/database";
 import { TContactAttributes } from "@formbricks/types/contact-attribute";
-import { DatabaseError, ResourceNotFoundError, UniqueConstraintError } from "@formbricks/types/errors";
+import {
+  DatabaseError,
+  InvalidInputError,
+  ResourceNotFoundError,
+  UniqueConstraintError,
+} from "@formbricks/types/errors";
 import { TResponseWithQuotaFull } from "@formbricks/types/quota";
 import { TResponse, ZResponseInput } from "@formbricks/types/responses";
 import { TTag } from "@formbricks/types/tags";
@@ -12,6 +17,7 @@ import {
 } from "@/app/api/client/[workspaceId]/responses/lib/response-error";
 import { responseSelection } from "@/app/api/v1/client/[workspaceId]/responses/lib/response";
 import { TResponseInputV2 } from "@/app/api/v2/client/[workspaceId]/responses/types/response";
+import { assertDisplayOwnership } from "@/lib/display/service";
 import { getOrganization } from "@/lib/organization/service";
 import { calculateTtcTotal } from "@/lib/response/utils";
 import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
@@ -99,6 +105,16 @@ export const createResponse = async (

    const ttc = initialTtc ? (finished ? calculateTtcTotal(initialTtc) : initialTtc) : {};

+    if (responseInput.displayId) {
+      await assertDisplayOwnership(
+        responseInput.displayId,
+        workspaceId,
+        responseInput.surveyId,
+        contactId ?? null,
+        tx
+      );
+    }
+
    const prismaData = buildPrismaResponseData(responseInput, contact, ttc);

    const prismaClient = tx ?? prisma;
@@ -122,6 +138,13 @@ export const createResponse = async (
    return response;
  } catch (error) {
    if (isPrismaKnownRequestError(error)) {
+      if (
+        error.code === "P2002" &&
+        Array.isArray(error.meta?.target) &&
+        error.meta.target.includes("displayId")
+      ) {
+        throw new InvalidInputError(`Display ${responseInput.displayId} is already linked to a response`);
+      }
      if (isSingleUseIdUniqueConstraintError(error)) {
        throw new UniqueConstraintError("Response already submitted for this single-use link");
      }
@@ -1859,6 +1859,7 @@ checksums:
    workspace/contacts/attribute_key_hint: 1a68c6f91e1a5cf9eff811e2e54e92b8
    workspace/contacts/attribute_key_placeholder: 31702e553b3f138a623dbaa42b6f878f
    workspace/contacts/attribute_key_required: 75f22558e9bafe7da2a549e75fab5f75
+    workspace/contacts/attribute_key_reserved_future_default: 2dbd2159bb6883bf56195448789ef72e
    workspace/contacts/attribute_key_safe_identifier_required: aece7d4708065ec5f110b82fc061621d
    workspace/contacts/attribute_label: a5c71bf158481233f8215dbd38cc196b
    workspace/contacts/attribute_label_placeholder: bf5106cb14d2ec0c21e7d8b4ab1f3a93
@@ -1893,6 +1894,7 @@ checksums:
    workspace/contacts/generate_personal_link: 9ac0865f6876d40fe858f94eae781eb8
    workspace/contacts/generate_personal_link_description: b9dbaf9e2d8362505b7e3cfa40f415a6
    workspace/contacts/invalid_csv_column_names: dcb8534e7d4c00b9ea7bdaf389f72328
+    workspace/contacts/invalid_csv_reserved_column_names: 6fef9d55e3dd298fea069404c9aaa474
    workspace/contacts/invalid_date_format: 5bad9730ac5a5bacd0792098f712b1c4
    workspace/contacts/invalid_number_format: bd0422507385f671c3046730a6febc64
    workspace/contacts/no_activity_yet: f88897ac05afd6bf8af0d4834ad24ffc
@@ -3,7 +3,6 @@ import { OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/typ
 import {
  assertOrganizationAIConfigured,
  generateOrganizationAIText,
-  getAIDataAnalysisUnavailableReason,
  getAISmartToolsUnavailableReason,
  getOrganizationAIConfig,
  isInstanceAIConfigured,
@@ -13,7 +12,6 @@ const mocks = vi.hoisted(() => ({
  generateText: vi.fn(),
  isAiConfigured: vi.fn(),
  getOrganization: vi.fn(),
-  getIsAIDataAnalysisEnabled: vi.fn(),
  getIsAISmartToolsEnabled: vi.fn(),
  loggerError: vi.fn(),
 }));
@@ -63,7 +61,6 @@ vi.mock("@/lib/organization/service", () => ({
 }));

 vi.mock("@/modules/ee/license-check/lib/utils", () => ({
-  getIsAIDataAnalysisEnabled: mocks.getIsAIDataAnalysisEnabled,
  getIsAISmartToolsEnabled: mocks.getIsAISmartToolsEnabled,
 }));

@@ -75,10 +72,8 @@ describe("AI organization service", () => {
    mocks.getOrganization.mockResolvedValue({
      id: "org_1",
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEnabled: false,
    });
    mocks.getIsAISmartToolsEnabled.mockResolvedValue(true);
-    mocks.getIsAIDataAnalysisEnabled.mockResolvedValue(true);
  });

  test("returns the instance AI status and organization settings", async () => {
@@ -89,9 +84,7 @@ describe("AI organization service", () => {
    expect(result).toMatchObject({
      organizationId: "org_1",
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEnabled: false,
      isAISmartToolsEntitled: true,
-      isAIDataAnalysisEntitled: true,
      isInstanceConfigured: true,
    });
  });
@@ -105,29 +98,22 @@ describe("AI organization service", () => {
  test("fails closed when the organization is not entitled to AI", async () => {
    mocks.getIsAISmartToolsEnabled.mockResolvedValueOnce(false);

-    await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
-      OperationNotAllowedError
-    );
+    await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
  });

  test("fails closed when the requested AI capability is disabled", async () => {
    mocks.getOrganization.mockResolvedValueOnce({
      id: "org_1",
      isAISmartToolsEnabled: false,
-      isAIDataAnalysisEnabled: true,
    });

-    await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
-      OperationNotAllowedError
-    );
+    await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
  });

  test("fails closed when the instance AI configuration is incomplete", async () => {
    mocks.isAiConfigured.mockReturnValueOnce(false);

-    await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
-      OperationNotAllowedError
-    );
+    await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
  });

  test("generates organization AI text with the configured package abstraction", async () => {
@@ -136,7 +122,6 @@ describe("AI organization service", () => {

    const result = await generateOrganizationAIText({
      organizationId: "org_1",
-      capability: "smartTools",
      prompt: "Translate this survey",
    });

@@ -160,14 +145,12 @@ describe("AI organization service", () => {
    await expect(
      generateOrganizationAIText({
        organizationId: "org_1",
-        capability: "smartTools",
        prompt: "Translate this survey",
      })
    ).rejects.toThrow(modelError);
    expect(mocks.loggerError).toHaveBeenCalledWith(
      {
        organizationId: "org_1",
-        capability: "smartTools",
        isInstanceConfigured: true,
        errorCode: undefined,
        err: modelError,
@@ -176,46 +159,11 @@ describe("AI organization service", () => {
    );
  });

-  describe("getAIDataAnalysisUnavailableReason", () => {
-    const baseConfig = {
-      organizationId: "org_1",
-      isAISmartToolsEntitled: true,
-      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEntitled: true,
-      isAIDataAnalysisEnabled: true,
-      isInstanceConfigured: true,
-    };
-
-    test("returns undefined when all checks pass", () => {
-      expect(getAIDataAnalysisUnavailableReason(baseConfig)).toBeUndefined();
-    });
-
-    test("returns not_in_plan when not entitled", () => {
-      expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isAIDataAnalysisEntitled: false })).toBe(
-        "not_in_plan"
-      );
-    });
-
-    test("returns not_enabled when disabled at org level", () => {
-      expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isAIDataAnalysisEnabled: false })).toBe(
-        "not_enabled"
-      );
-    });
-
-    test("returns instance_not_configured when instance AI is missing", () => {
-      expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isInstanceConfigured: false })).toBe(
-        "instance_not_configured"
-      );
-    });
-  });
-
  describe("getAISmartToolsUnavailableReason", () => {
    const baseConfig = {
      organizationId: "org_1",
      isAISmartToolsEntitled: true,
      isAISmartToolsEnabled: true,
-      isAIDataAnalysisEntitled: true,
-      isAIDataAnalysisEnabled: true,
      isInstanceConfigured: true,
    };

@@ -240,15 +188,5 @@ describe("AI organization service", () => {
        "instance_not_configured"
      );
    });
-
-    test("ignores data-analysis flags (smart tools is independent of data analysis state)", () => {
-      expect(
-        getAISmartToolsUnavailableReason({
-          ...baseConfig,
-          isAIDataAnalysisEntitled: false,
-          isAIDataAnalysisEnabled: false,
-        })
-      ).toBeUndefined();
-    });
  });
 });
@@ -4,12 +4,11 @@ import { logger } from "@formbricks/logger";
 import { OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
 import { env } from "@/lib/env";
 import { getOrganization } from "@/lib/organization/service";
-import { getIsAIDataAnalysisEnabled, getIsAISmartToolsEnabled } from "@/modules/ee/license-check/lib/utils";
+import { getIsAISmartToolsEnabled } from "@/modules/ee/license-check/lib/utils";

 export const AI_ERROR_CODES = {
  FEATURES_NOT_ENABLED: "ai_features_not_enabled",
  SMART_TOOLS_DISABLED: "ai_smart_tools_disabled",
-  DATA_ANALYSIS_DISABLED: "ai_data_analysis_disabled",
  INSTANCE_NOT_CONFIGURED: "ai_instance_not_configured",
 } as const;

@@ -18,9 +17,7 @@ export type TAIErrorCode = (typeof AI_ERROR_CODES)[keyof typeof AI_ERROR_CODES];
 export interface TOrganizationAIConfig {
  organizationId: string;
  isAISmartToolsEnabled: boolean;
-  isAIDataAnalysisEnabled: boolean;
  isAISmartToolsEntitled: boolean;
-  isAIDataAnalysisEntitled: boolean;
  isInstanceConfigured: boolean;
 }

@@ -33,32 +30,18 @@ export const getOrganizationAIConfig = async (organizationId: string): Promise<T
    throw new ResourceNotFoundError("Organization", organizationId);
  }

-  const [isAISmartToolsEntitled, isAIDataAnalysisEntitled] = await Promise.all([
-    getIsAISmartToolsEnabled(organizationId),
-    getIsAIDataAnalysisEnabled(organizationId),
-  ]);
+  const isAISmartToolsEntitled = await getIsAISmartToolsEnabled(organizationId);

  return {
    organizationId,
    isAISmartToolsEnabled: organization.isAISmartToolsEnabled,
-    isAIDataAnalysisEnabled: organization.isAIDataAnalysisEnabled,
    isAISmartToolsEntitled,
-    isAIDataAnalysisEntitled,
    isInstanceConfigured: isInstanceAIConfigured(),
  };
 };

 export type TAIUnavailableReason = "not_in_plan" | "not_enabled" | "instance_not_configured";

-export const getAIDataAnalysisUnavailableReason = (
-  aiConfig: TOrganizationAIConfig
-): TAIUnavailableReason | undefined => {
-  if (!aiConfig.isAIDataAnalysisEntitled) return "not_in_plan";
-  if (!aiConfig.isAIDataAnalysisEnabled) return "not_enabled";
-  if (!aiConfig.isInstanceConfigured) return "instance_not_configured";
-  return undefined;
-};
-
 export const getAISmartToolsUnavailableReason = (
  aiConfig: TOrganizationAIConfig
 ): TAIUnavailableReason | undefined => {
@@ -69,25 +52,18 @@ export const getAISmartToolsUnavailableReason = (
 };

 export const assertOrganizationAIConfigured = async (
-  organizationId: string,
-  capability: "smartTools" | "dataAnalysis"
+  organizationId: string
 ): Promise<TOrganizationAIConfig> => {
  const aiConfig = await getOrganizationAIConfig(organizationId);
-  const isCapabilityEntitled =
-    capability === "smartTools" ? aiConfig.isAISmartToolsEntitled : aiConfig.isAIDataAnalysisEntitled;

-  if (!isCapabilityEntitled) {
+  if (!aiConfig.isAISmartToolsEntitled) {
    throw new OperationNotAllowedError(AI_ERROR_CODES.FEATURES_NOT_ENABLED);
  }

-  if (capability === "smartTools" && !aiConfig.isAISmartToolsEnabled) {
+  if (!aiConfig.isAISmartToolsEnabled) {
    throw new OperationNotAllowedError(AI_ERROR_CODES.SMART_TOOLS_DISABLED);
  }

-  if (capability === "dataAnalysis" && !aiConfig.isAIDataAnalysisEnabled) {
-    throw new OperationNotAllowedError(AI_ERROR_CODES.DATA_ANALYSIS_DISABLED);
-  }
-
  if (!aiConfig.isInstanceConfigured) {
    throw new OperationNotAllowedError(AI_ERROR_CODES.INSTANCE_NOT_CONFIGURED);
  }
@@ -97,15 +73,13 @@ export const assertOrganizationAIConfigured = async (

 type TGenerateOrganizationAITextInput = {
  organizationId: string;
-  capability: "smartTools" | "dataAnalysis";
 } & Parameters<typeof generateText>[0];

 export const generateOrganizationAIText = async ({
  organizationId,
-  capability,
  ...options
 }: TGenerateOrganizationAITextInput): Promise<Awaited<ReturnType<typeof generateText>>> => {
-  const aiConfig = await assertOrganizationAIConfigured(organizationId, capability);
+  const aiConfig = await assertOrganizationAIConfigured(organizationId);

  try {
    return await generateText(options, env);
@@ -113,7 +87,6 @@ export const generateOrganizationAIText = async ({
    logger.error(
      {
        organizationId,
-        capability,
        isInstanceConfigured: aiConfig.isInstanceConfigured,
        errorCode: error instanceof AIConfigurationError ? error.code : undefined,
        err: error,
@@ -1,5 +1,6 @@
 import "server-only";
 import { Prisma } from "@prisma/client";
+import type { PrismaClientKnownRequestError } from "@prisma/client/runtime/library";
 import { cache as reactCache } from "react";
 import { prisma } from "@formbricks/database";
 import { PrismaErrorType } from "@formbricks/database/types/error";
@@ -212,7 +213,7 @@ export const deleteConnector = async (connectorId: string, workspaceId: string):

 // -- Composite functions --

-const mapUniqueConstraintError = (error: Prisma.PrismaClientKnownRequestError): InvalidInputError => {
+const mapUniqueConstraintError = (error: PrismaClientKnownRequestError): InvalidInputError => {
  const target = error.meta?.target;
  const targetFields = Array.isArray(target) ? (target as string[]) : [];
  if (targetFields.includes("elementId") || targetFields.includes("surveyId")) {
@@ -5,7 +5,7 @@ import { z } from "zod";
 import { prisma } from "@formbricks/database";
 import { ZId } from "@formbricks/types/common";
 import { TDisplay, TDisplayFilters, TDisplayWithContact, ZDisplayFilters } from "@formbricks/types/displays";
-import { DatabaseError } from "@formbricks/types/errors";
+import { DatabaseError, InvalidInputError } from "@formbricks/types/errors";
 import { validateInputs } from "../utils/validate";

 export const selectDisplay = {
@@ -146,6 +146,58 @@ export const getDisplaysBySurveyIdWithContact = reactCache(
  }
 );

+export const getDisplayForResponseValidation = async (
+  displayId: string,
+  tx?: Prisma.TransactionClient
+): Promise<{
+  surveyId: string;
+  workspaceId: string;
+  responseId: string | null;
+  contactId: string | null;
+} | null> => {
+  validateInputs([displayId, ZId]);
+  const client = tx ?? prisma;
+  try {
+    const display = await client.display.findUnique({
+      where: { id: displayId },
+      select: {
+        surveyId: true,
+        contactId: true,
+        response: { select: { id: true } },
+        survey: { select: { workspaceId: true } },
+      },
+    });
+    if (!display) return null;
+    return {
+      surveyId: display.surveyId,
+      workspaceId: display.survey.workspaceId,
+      responseId: display.response?.id ?? null,
+      contactId: display.contactId,
+    };
+  } catch (error) {
+    if (error instanceof Prisma.PrismaClientKnownRequestError) throw new DatabaseError(error.message);
+    throw error;
+  }
+};
+
+export const assertDisplayOwnership = async (
+  displayId: string,
+  workspaceId: string,
+  surveyId: string,
+  contactId: string | null,
+  tx?: Prisma.TransactionClient
+): Promise<void> => {
+  const display = await getDisplayForResponseValidation(displayId, tx);
+  if (!display) throw new InvalidInputError(`Display ${displayId} not found`);
+  if (display.workspaceId !== workspaceId)
+    throw new InvalidInputError(`Display ${displayId} belongs to a different workspace`);
+  if (display.surveyId !== surveyId)
+    throw new InvalidInputError(`Display ${displayId} is associated with a different survey`);
+  if (display.responseId) throw new InvalidInputError(`Display ${displayId} is already linked to a response`);
+  if (display.contactId !== null && display.contactId !== contactId)
+    throw new InvalidInputError(`Display ${displayId} belongs to a different contact`);
+};
+
 export const deleteDisplay = async (displayId: string, tx?: Prisma.TransactionClient): Promise<TDisplay> => {
  validateInputs([displayId, ZId]);
  try {
@@ -3,14 +3,18 @@ import { prisma } from "@/lib/__mocks__/database";
 import { Prisma } from "@prisma/client";
 import { describe, expect, test, vi } from "vitest";
 import { PrismaErrorType } from "@formbricks/database/types/error";
-import { DatabaseError, ValidationError } from "@formbricks/types/errors";
+import { DatabaseError, InvalidInputError, ValidationError } from "@formbricks/types/errors";
 import {
+  assertDisplayOwnership,
  getDisplayCountBySurveyId,
+  getDisplayForResponseValidation,
  getDisplaysByContactId,
  getDisplaysBySurveyIdWithContact,
 } from "../service";

 const mockContactId = "clqnj99r9000008lebgf8734j";
+const mockWorkspaceId = "clqkr8dlv000308jybb08evgz";
+const mockResponseId = "clqnfg59i000208i426pb4wcv";
 const mockResponseIds = ["clqnfg59i000208i426pb4wcv", "clqnfg59i000208i426pb4wcw"];

 const mockDisplaysForContact = [
@@ -290,3 +294,96 @@ describe("getDisplaysBySurveyIdWithContact", () => {
    });
  });
 });
+
+const mockDisplayRecord = {
+  surveyId: mockSurveyId,
+  contactId: null as string | null,
+  response: null as { id: string } | null,
+  survey: { workspaceId: mockWorkspaceId },
+};
+
+describe("getDisplayForResponseValidation", () => {
+  test("returns null when display is not found", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue(null);
+    const result = await getDisplayForResponseValidation(mockDisplayId);
+    expect(result).toBeNull();
+  });
+
+  test("returns mapped shape when display is found", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue({
+      ...mockDisplayRecord,
+      contactId: mockContactId,
+      response: { id: mockResponseId },
+    } as any);
+    const result = await getDisplayForResponseValidation(mockDisplayId);
+    expect(result).toEqual({
+      surveyId: mockSurveyId,
+      workspaceId: mockWorkspaceId,
+      responseId: mockResponseId,
+      contactId: mockContactId,
+    });
+  });
+
+  test("throws DatabaseError on PrismaClientKnownRequestError", async () => {
+    vi.mocked(prisma.display.findUnique).mockRejectedValue(
+      new Prisma.PrismaClientKnownRequestError("Mock error", {
+        code: PrismaErrorType.UniqueConstraintViolation,
+        clientVersion: "0.0.1",
+      })
+    );
+    await expect(getDisplayForResponseValidation(mockDisplayId)).rejects.toThrow(DatabaseError);
+  });
+});
+
+describe("assertDisplayOwnership", () => {
+  test("throws InvalidInputError when display is not found", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue(null);
+    await expect(assertDisplayOwnership(mockDisplayId, mockWorkspaceId, mockSurveyId, null)).rejects.toThrow(
+      InvalidInputError
+    );
+  });
+
+  test("throws InvalidInputError when workspaceId does not match", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue(mockDisplayRecord as any);
+    await expect(
+      assertDisplayOwnership(mockDisplayId, "wrong-workspace", mockSurveyId, null)
+    ).rejects.toThrow(InvalidInputError);
+  });
+
+  test("throws InvalidInputError when surveyId does not match", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue(mockDisplayRecord as any);
+    await expect(
+      assertDisplayOwnership(mockDisplayId, mockWorkspaceId, "wrong-survey", null)
+    ).rejects.toThrow(InvalidInputError);
+  });
+
+  test("throws InvalidInputError when display is already linked to a response", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue({
+      ...mockDisplayRecord,
+      response: { id: mockResponseId },
+    } as any);
+    await expect(assertDisplayOwnership(mockDisplayId, mockWorkspaceId, mockSurveyId, null)).rejects.toThrow(
+      InvalidInputError
+    );
+  });
+
+  test("throws InvalidInputError when contactId does not match", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue({
+      ...mockDisplayRecord,
+      contactId: "contact-a",
+    } as any);
+    await expect(
+      assertDisplayOwnership(mockDisplayId, mockWorkspaceId, mockSurveyId, "contact-b")
+    ).rejects.toThrow(InvalidInputError);
+  });
+
+  test("resolves without error when all ownership checks pass", async () => {
+    vi.mocked(prisma.display.findUnique).mockResolvedValue({
+      ...mockDisplayRecord,
+      contactId: mockContactId,
+    } as any);
+    await expect(
+      assertDisplayOwnership(mockDisplayId, mockWorkspaceId, mockSurveyId, mockContactId)
+    ).resolves.toBeUndefined();
+  });
+});
@@ -38,7 +38,6 @@ describe("auth", () => {
            usageCycleAnchor: new Date(),
          },
          isAISmartToolsEnabled: false,
-          isAIDataAnalysisEnabled: false,
        },
      ];
      vi.mocked(getOrganizationsByUserId).mockResolvedValue(mockOrganizations);
@@ -73,7 +73,6 @@ describe("Organization Service", () => {
          usageCycleAnchor: new Date(),
        },
        isAISmartToolsEnabled: false,
-        isAIDataAnalysisEnabled: false,
        whitelabel: false,
      };

@@ -126,7 +125,6 @@ describe("Organization Service", () => {
            usageCycleAnchor: new Date(),
          },
          isAISmartToolsEnabled: false,
-          isAIDataAnalysisEnabled: false,
          whitelabel: false,
        },
      ];
@@ -179,7 +177,6 @@ describe("Organization Service", () => {
        updatedAt: new Date(),
        billing: expectedBilling,
        isAISmartToolsEnabled: false,
-        isAIDataAnalysisEnabled: false,
        whitelabel: false,
      };

@@ -239,7 +236,6 @@ describe("Organization Service", () => {
          usageCycleAnchor: new Date(),
        },
        isAISmartToolsEnabled: false,
-        isAIDataAnalysisEnabled: false,
        whitelabel: false,
        memberships: [{ userId: "user1" }, { userId: "user2" }],
        workspaces: [
@@ -281,7 +277,6 @@ describe("Organization Service", () => {
          usageCycleAnchor: expect.any(Date),
        },
        isAISmartToolsEnabled: false,
-        isAIDataAnalysisEnabled: false,
        whitelabel: false,
      });
      expect(prisma.organization.update).toHaveBeenCalledWith({
@@ -35,7 +35,6 @@ export const select = {
    },
  },
  isAISmartToolsEnabled: true,
-  isAIDataAnalysisEnabled: true,
  whitelabel: true,
 } satisfies Prisma.OrganizationSelect;

@@ -74,7 +73,6 @@ const mapOrganization = (organization: TOrganizationWithBilling): TOrganization
  name: organization.name,
  billing: mapOrganizationBilling(organization.billing),
  isAISmartToolsEnabled: organization.isAISmartToolsEnabled,
-  isAIDataAnalysisEnabled: organization.isAIDataAnalysisEnabled,
  whitelabel: organization.whitelabel as TOrganization["whitelabel"],
 });

@@ -228,7 +228,6 @@ export const mockOrganizationOutput: TOrganization = {
  createdAt: currentDate,
  updatedAt: currentDate,
  isAISmartToolsEnabled: false,
-  isAIDataAnalysisEnabled: false,
  billing: {
    stripeCustomerId: null,
    limits: {
@@ -67,7 +67,6 @@ describe("User Service", () => {
        usageCycleAnchor: new Date(),
      },
      isAISmartToolsEnabled: false,
-      isAIDataAnalysisEnabled: false,
    },
    {
      id: "org2",
@@ -85,7 +84,6 @@ describe("User Service", () => {
        usageCycleAnchor: new Date(),
      },
      isAISmartToolsEnabled: false,
-      isAIDataAnalysisEnabled: false,
    },
  ];

@@ -38,6 +38,50 @@ describe("convertToCsv", () => {

    parseSpy.mockRestore();
  });
+
+  test("should defang formula injection payloads in cell values", async () => {
+    const payloads = [
+      '=HYPERLINK("https://evil.tld","Click")',
+      "+1+1",
+      "-2+3",
+      "@SUM(A1:A2)",
+      "\tleading-tab",
+      "\rleading-cr",
+    ];
+    const rows = payloads.map((p) => ({ name: p, age: 0 }));
+    const csv = await convertToCsv(["name", "age"], rows);
+    const lines = csv.trim().split("\n").slice(1); // drop header
+    payloads.forEach((p, i) => {
+      // each value should be prefixed with a single quote so the spreadsheet
+      // app treats it as text rather than a formula
+      expect(lines[i].startsWith(`"'${p.charAt(0)}`)).toBe(true);
+    });
+  });
+
+  test("should defang formula injection in field/header names", async () => {
+    const csv = await convertToCsv(["=evil", "age"], [{ "=evil": "x", age: 1 }]);
+    const lines = csv.trim().split("\n");
+    expect(lines[0]).toBe('"\'=evil","age"');
+    expect(lines[1]).toBe('"x",1');
+  });
+
+  test("should not alter benign strings", async () => {
+    const csv = await convertToCsv(["name"], [{ name: "Alice = Bob" }]);
+    const lines = csv.trim().split("\n");
+    expect(lines[1]).toBe('"Alice = Bob"');
+  });
+
+  test("should preserve distinct columns whose labels collide after sanitization", async () => {
+    // "=field" and "'=field" both render as "'=field" once defanged, but the
+    // underlying row keys must stay distinct so neither cell is dropped.
+    const csv = await convertToCsv(
+      ["=field", "'=field"],
+      [{ "=field": "a", "'=field": "b" }]
+    );
+    const lines = csv.trim().split("\n");
+    expect(lines[0]).toBe('"\'=field","\'=field"');
+    expect(lines[1]).toBe('"a","b"');
+  });
 });

 describe("convertToXlsxBuffer", () => {
@@ -60,4 +104,54 @@ describe("convertToXlsxBuffer", () => {
    const cleaned = raw.map(({ __rowNum__, ...rest }) => rest);
    expect(cleaned).toEqual(data);
  });
+
+  test("should defang formula injection payloads in xlsx cells", () => {
+    const payloads = [
+      '=HYPERLINK("https://evil.tld","Click")',
+      "+1+1",
+      "-2+3",
+      "@SUM(A1:A2)",
+      "\tleading-tab",
+      "\rleading-cr",
+    ];
+    const rows = payloads.map((p) => ({ name: p }));
+    const buffer = convertToXlsxBuffer(["name"], rows);
+    const wb = xlsx.read(buffer, { type: "buffer" });
+    const sheet = wb.Sheets["Sheet1"];
+    payloads.forEach((p, i) => {
+      const cell = sheet[`A${i + 2}`]; // row 1 is header
+      // value stored as plain text, not as a formula (no `f` property)
+      expect(cell.f).toBeUndefined();
+      expect(cell.v).toBe(`'${p}`);
+    });
+  });
+
+  test("should defang formula injection in xlsx header names", () => {
+    const buffer = convertToXlsxBuffer(["=evil", "name"], [{ "=evil": "x", name: "Alice" }]);
+    const wb = xlsx.read(buffer, { type: "buffer" });
+    const sheet = wb.Sheets["Sheet1"];
+    const headerCell = sheet["A1"];
+    expect(headerCell.f).toBeUndefined();
+    expect(headerCell.v).toBe("'=evil");
+    // benign header untouched
+    expect(sheet["B1"].v).toBe("name");
+    // data row mapped via original key
+    expect(sheet["A2"].v).toBe("x");
+    expect(sheet["B2"].v).toBe("Alice");
+  });
+
+  test("should preserve distinct xlsx columns whose labels collide after sanitization", () => {
+    // Original keys "=field" and "'=field" both render as "'=field"; ensure
+    // both cells survive instead of one overwriting the other.
+    const buffer = convertToXlsxBuffer(
+      ["=field", "'=field"],
+      [{ "=field": "a", "'=field": "b" }]
+    );
+    const wb = xlsx.read(buffer, { type: "buffer" });
+    const sheet = wb.Sheets["Sheet1"];
+    expect(sheet["A1"].v).toBe("'=field");
+    expect(sheet["B1"].v).toBe("'=field");
+    expect(sheet["A2"].v).toBe("a");
+    expect(sheet["B2"].v).toBe("b");
+  });
 });
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Nur Kleinbuchstaben, Zahlen und Unterstriche. Muss mit einem Buchstaben beginnen.",
      "attribute_key_placeholder": "z. B. geburtsdatum",
      "attribute_key_required": "Schlüssel ist erforderlich",
+      "attribute_key_reserved_future_default": "Der Schlüssel ist für zukünftige Standardattribute reserviert ({reservedKeys}). Bitte wähle einen anderen Schlüssel.",
      "attribute_key_safe_identifier_required": "Schlüssel muss ein sicherer Identifikator sein: nur Kleinbuchstaben, Zahlen und Unterstriche, und muss mit einem Buchstaben beginnen",
      "attribute_label": "Bezeichnung",
      "attribute_label_placeholder": "z. B. Geburtsdatum",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Persönlichen Link erstellen",
      "generate_personal_link_description": "Wähle eine veröffentlichte Umfrage aus, um einen personalisierten Link für diesen Kontakt zu erstellen.",
      "invalid_csv_column_names": "Ungültige CSV-Spaltennamen: {columns}. Spaltennamen, die zu neuen Attributen werden, dürfen nur Kleinbuchstaben, Zahlen und Unterstriche enthalten und müssen mit einem Buchstaben beginnen.",
+      "invalid_csv_reserved_column_names": "Reservierte CSV-Spaltennamen: {columns}. Diese Namen sind für zukünftige Standardattribute ({reservedKeys}) reserviert und können nicht als neue Attribute erstellt werden.",
      "invalid_date_format": "Ungültiges Datumsformat. Bitte verwende ein gültiges Datum.",
      "invalid_number_format": "Ungültiges Zahlenformat. Bitte gib eine gültige Zahl ein.",
      "no_activity_yet": "Noch keine Aktivität",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Workspaces, denen Zugriff gewährt wird"
      },
      "general": {
-        "ai_data_analysis_enabled": "Datenanreicherung & -analyse (KI)",
-        "ai_data_analysis_enabled_description": "KI nutzen, um mehr aus deinen Daten herauszuholen – richte Dashboards, Diagramme, Berichte und mehr ein. Greift auf deine Erfahrungsdaten zu.",
        "ai_enabled": "Formbricks KI",
        "ai_enabled_description": "Verwalte KI-gestützte Funktionen für diese Organisation.",
        "ai_instance_not_configured": "KI wird auf Instanzebene über Umgebungsvariablen konfiguriert. Bitte deine:n Administrator:in, AI_PROVIDER, AI_MODEL und die passenden Provider-Zugangsdaten zu setzen, bevor du KI-Funktionen aktivierst.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "„Umfrage geschlossen“-Nachricht anpassen",
        "adjust_survey_closed_message_description": "Ändere die Nachricht, die Besucher sehen, wenn die Umfrage geschlossen ist.",
        "adjust_theme_in_look_and_feel_settings": "Passe das Theme in den <lookFeelLink>Look & Feel</lookFeelLink> Einstellungen an.",
-        "ai_data_analysis_disabled": "KI-Datenanalyse ist für diese Organisation deaktiviert.",
        "ai_features_not_enabled": "KI-Funktionen sind für diese Organisation nicht aktiviert.",
        "ai_instance_not_configured": "KI ist nicht konfiguriert. Kontaktiere deinen Administrator.",
        "ai_smart_tools_disabled": "KI-Smart-Tools sind für diese Organisation deaktiviert.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Only lowercase letters, numbers, and underscores. Must start with a letter.",
      "attribute_key_placeholder": "e.g. date_of_birth",
      "attribute_key_required": "Key is required",
+      "attribute_key_reserved_future_default": "Key is reserved for future default attributes ({reservedKeys}). Please choose a different key.",
      "attribute_key_safe_identifier_required": "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
      "attribute_label": "Label",
      "attribute_label_placeholder": "e.g. Date of Birth",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Generate Personal Link",
      "generate_personal_link_description": "Select a published survey to generate a personalized link for this contact.",
      "invalid_csv_column_names": "Invalid CSV column name(s): {columns}. Column names that will become new attributes must only contain lowercase letters, numbers, and underscores, and must start with a letter.",
+      "invalid_csv_reserved_column_names": "Reserved CSV column name(s): {columns}. These names are reserved for future default attributes ({reservedKeys}) and cannot be created as new attributes.",
      "invalid_date_format": "Invalid date format. Please use a valid date.",
      "invalid_number_format": "Invalid number format. Please enter a valid number.",
      "no_activity_yet": "No activity yet",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Workspaces being granted access"
      },
      "general": {
-        "ai_data_analysis_enabled": "Data enrichment & analysis (AI)",
-        "ai_data_analysis_enabled_description": "AI to get more out of your data, setup dashboards, charts, reports and more. Touches your experience data.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Manage AI-powered features for this organization.",
        "ai_instance_not_configured": "AI is configured at the instance level via environment variables. Ask your administrator to set AI_PROVIDER, AI_MODEL, and the matching provider credentials before enabling AI features.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Adjust “Survey Closed” message",
        "adjust_survey_closed_message_description": "Change the message visitors see when the survey is closed.",
        "adjust_theme_in_look_and_feel_settings": "Adjust the theme in the <lookFeelLink>Look & Feel</lookFeelLink> Settings.",
-        "ai_data_analysis_disabled": "AI data analysis is disabled for this organization.",
        "ai_features_not_enabled": "AI features are not enabled for this organization.",
        "ai_instance_not_configured": "AI is not configured. Contact your administrator.",
        "ai_smart_tools_disabled": "AI smart tools are disabled for this organization.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Solo letras minúsculas, números y guiones bajos. Debe empezar con una letra.",
      "attribute_key_placeholder": "p. ej. fecha_de_nacimiento",
      "attribute_key_required": "La clave es obligatoria",
+      "attribute_key_reserved_future_default": "La clave está reservada para atributos predeterminados futuros ({reservedKeys}). Por favor, elige una clave diferente.",
      "attribute_key_safe_identifier_required": "La clave debe ser un identificador seguro: solo letras minúsculas, números y guiones bajos, y debe empezar con una letra",
      "attribute_label": "Etiqueta",
      "attribute_label_placeholder": "p. ej. fecha de nacimiento",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Generar enlace personal",
      "generate_personal_link_description": "Selecciona una encuesta publicada para generar un enlace personalizado para este contacto.",
      "invalid_csv_column_names": "Nombre(s) de columna CSV no válido(s): {columns}. Los nombres de columna que se convertirán en nuevos atributos solo deben contener letras minúsculas, números y guiones bajos, y deben comenzar con una letra.",
+      "invalid_csv_reserved_column_names": "Nombre(s) de columna CSV reservado(s): {columns}. Estos nombres están reservados para atributos predeterminados futuros ({reservedKeys}) y no se pueden crear como nuevos atributos.",
      "invalid_date_format": "Formato de fecha no válido. Por favor, usa una fecha válida.",
      "invalid_number_format": "Formato de número no válido. Por favor, introduce un número válido.",
      "no_activity_yet": "Aún no hay actividad",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Espacios de trabajo a los que se concede acceso"
      },
      "general": {
-        "ai_data_analysis_enabled": "Enriquecimiento y análisis de datos (IA)",
-        "ai_data_analysis_enabled_description": "IA para sacar más partido a tus datos, configurar paneles, gráficos, informes y más. Accede a los datos de experiencia.",
        "ai_enabled": "IA de Formbricks",
        "ai_enabled_description": "Gestiona las funciones impulsadas por IA para esta organización.",
        "ai_instance_not_configured": "La IA se configura a nivel de instancia mediante variables de entorno. Pide a tu administrador que configure AI_PROVIDER, las credenciales de ese proveedor y la lista de modelos correspondiente antes de habilitar las funciones de IA.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Ajustar mensaje 'Encuesta cerrada'",
        "adjust_survey_closed_message_description": "Cambiar el mensaje que ven los visitantes cuando la encuesta está cerrada.",
        "adjust_theme_in_look_and_feel_settings": "Ajusta el tema en la configuración de <lookFeelLink>Aspecto</lookFeelLink>.",
-        "ai_data_analysis_disabled": "El análisis de datos con IA está deshabilitado para esta organización.",
        "ai_features_not_enabled": "Las funciones de IA no están habilitadas para esta organización.",
        "ai_instance_not_configured": "La IA no está configurada. Contacta con tu administrador.",
        "ai_smart_tools_disabled": "Las herramientas inteligentes de IA están deshabilitadas para esta organización.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Uniquement des lettres minuscules, des chiffres et des underscores. Doit commencer par une lettre.",
      "attribute_key_placeholder": "ex. date_de_naissance",
      "attribute_key_required": "La clé est requise",
+      "attribute_key_reserved_future_default": "La clé est réservée pour les attributs par défaut futurs ({reservedKeys}). Veuillez choisir une clé différente.",
      "attribute_key_safe_identifier_required": "La clé doit être un identifiant sûr : uniquement des lettres minuscules, des chiffres et des underscores, et doit commencer par une lettre",
      "attribute_label": "Étiquette",
      "attribute_label_placeholder": "ex. Date de naissance",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Générer un lien personnel",
      "generate_personal_link_description": "Sélectionnez une enquête publiée pour générer un lien personnalisé pour ce contact.",
      "invalid_csv_column_names": "Nom(s) de colonne CSV invalide(s) : {columns}. Les noms de colonnes qui deviendront de nouveaux attributs ne doivent contenir que des lettres minuscules, des chiffres et des underscores, et doivent commencer par une lettre.",
+      "invalid_csv_reserved_column_names": "Nom(s) de colonne CSV réservé(s) : {columns}. Ces noms sont réservés pour les attributs par défaut futurs ({reservedKeys}) et ne peuvent pas être créés en tant que nouveaux attributs.",
      "invalid_date_format": "Format de date invalide. Merci d'utiliser une date valide.",
      "invalid_number_format": "Format de nombre invalide. Veuillez saisir un nombre valide.",
      "no_activity_yet": "Aucune activité pour le moment",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Espaces de travail en cours d'ajout"
      },
      "general": {
-        "ai_data_analysis_enabled": "Enrichissement et analyse des données (IA)",
-        "ai_data_analysis_enabled_description": "L'IA pour tirer le meilleur parti de vos données, configurer des tableaux de bord, des graphiques, des rapports et plus encore. Accède à vos données d'expérience.",
        "ai_enabled": "IA Formbricks",
        "ai_enabled_description": "Gérer les fonctionnalités alimentées par l'IA pour cette organisation.",
        "ai_instance_not_configured": "L'IA est configurée au niveau de l'instance via des variables d'environnement. Demandez à votre administrateur de définir AI_PROVIDER, les identifiants du fournisseur et la liste de modèles correspondante avant d'activer les fonctionnalités d'IA.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Ajuster le message \"Sondage fermé\"",
        "adjust_survey_closed_message_description": "Modifiez le message que les visiteurs voient lorsque l'enquête est fermée.",
        "adjust_theme_in_look_and_feel_settings": "Ajuste le thème dans les paramètres <lookFeelLink>Apparence et ressenti</lookFeelLink>.",
-        "ai_data_analysis_disabled": "L'analyse de données par IA est désactivée pour cette organisation.",
        "ai_features_not_enabled": "Les fonctionnalités IA ne sont pas activées pour cette organisation.",
        "ai_instance_not_configured": "L'IA n'est pas configurée. Contacte ton administrateur.",
        "ai_smart_tools_disabled": "Les outils intelligents IA sont désactivés pour cette organisation.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Csak ékezet nélküli kisbetűk, számok és aláhúzásjelek használhatók. Betűvel kell kezdődnie.",
      "attribute_key_placeholder": "például: szuletesi_ido",
      "attribute_key_required": "A kulcs kötelező",
+      "attribute_key_reserved_future_default": "A kulcs le van foglalva jövőbeli alapértelmezett attribútumok számára ({reservedKeys}). Kérem, válasszon egy másik kulcsot.",
      "attribute_key_safe_identifier_required": "A kulcs csak biztonságos azonosító lehet: csak ékezet nélküli kisbetűk, számok és aláhúzásjelek használhatók, és betűvel kell kezdődnie",
      "attribute_label": "Címke",
      "attribute_label_placeholder": "például: Születési idő",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Személyes hivatkozás előállítása",
      "generate_personal_link_description": "Válasszon egy közzétett kérdőívet, hogy személyre szabott hivatkozást állítson elő ehhez a partnerhez.",
      "invalid_csv_column_names": "Érvénytelen CSV-oszlopnevek: {columns}. Az új attribútumokká váló oszlopnevek csak ékezet nélküli kisbetűket, számokat és aláhúzásjeleket tartalmazhatnak, valamint betűvel kell kezdődniük.",
+      "invalid_csv_reserved_column_names": "Fenntartott CSV oszlopnév/nevek: {columns}. Ezek a nevek le vannak foglalva jövőbeli alapértelmezett attribútumok számára ({reservedKeys}), és nem hozhatók létre új attribútumokként.",
      "invalid_date_format": "Érvénytelen dátumformátum. Használjon érvényes dátumot.",
      "invalid_number_format": "Érvénytelen számformátum. Adjon meg érvényes számot.",
      "no_activity_yet": "Még nincs tevékenység",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Hozzáférést kapó munkaterületek"
      },
      "general": {
-        "ai_data_analysis_enabled": "Adatgazdagítás és elemzés (AI)",
-        "ai_data_analysis_enabled_description": "AI segítségével többet hozhat ki az adataiból, irányítópultokat, diagramokat, jelentéseket és egyebeket állíthat be. Hozzáfér az élményekhez kapcsolódó adatokhoz.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "AI-alapú funkciók kezelése ehhez a szervezethez.",
        "ai_instance_not_configured": "Az MI példányszinten, környezeti változókkal van konfigurálva. Kérd meg a rendszergazdát, hogy állítsa be az AI_PROVIDER értékét, a szolgáltató hitelesítő adatait és a megfelelő modelllistát, mielőtt engedélyezné az MI-funkciókat.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "A „Kérdőív lezárva” üzenet módosítása",
        "adjust_survey_closed_message_description": "Annak az üzenetnek a megváltoztatása, amelyet a látogatók akkor látnak, amikor a kérdőív lezárul.",
        "adjust_theme_in_look_and_feel_settings": "A témát a <lookFeelLink>Megjelenés és Élmény</lookFeelLink> beállításokban módosíthatja.",
-        "ai_data_analysis_disabled": "Az AI adatelemzés le van tiltva ezen szervezet számára.",
        "ai_features_not_enabled": "Az AI funkciók nincsenek engedélyezve ezen szervezet számára.",
        "ai_instance_not_configured": "Az AI nincs konfigurálva. Kérjük, forduljon a rendszergazdájához.",
        "ai_smart_tools_disabled": "Az AI intelligens eszközök le vannak tiltva ezen szervezet számára.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "小文字のアルファベット、数字、アンダースコアのみ使用可能です。アルファベットで始める必要があります。",
      "attribute_key_placeholder": "例: date_of_birth",
      "attribute_key_required": "キーは必須です",
+      "attribute_key_reserved_future_default": "このキーは将来のデフォルト属性用に予約されています（{reservedKeys}）。別のキーを選択してください。",
      "attribute_key_safe_identifier_required": "キーは安全な識別子である必要があります: 小文字のアルファベット、数字、アンダースコアのみ使用可能で、アルファベットで始める必要があります",
      "attribute_label": "ラベル",
      "attribute_label_placeholder": "例: 生年月日",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "個人リンクを生成",
      "generate_personal_link_description": "公開されたフォームを選択して、この連絡先用のパーソナライズされたリンクを生成します。",
      "invalid_csv_column_names": "無効なCSV列名: {columns}。新しい属性となる列名は、小文字、数字、アンダースコアのみを含み、文字で始まる必要があります。",
+      "invalid_csv_reserved_column_names": "予約されたCSV列名: {columns}。これらの名前は将来のデフォルト属性（{reservedKeys}）用に予約されており、新しい属性として作成できません。",
      "invalid_date_format": "無効な日付形式です。有効な日付を使用してください。",
      "invalid_number_format": "無効な数値形式です。有効な数値を入力してください。",
      "no_activity_yet": "まだアクティビティがありません",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "アクセス権が付与されるワークスペース"
      },
      "general": {
-        "ai_data_analysis_enabled": "データエンリッチメントと分析（AI）",
-        "ai_data_analysis_enabled_description": "AIを活用してデータから最大限の価値を引き出し、ダッシュボード、チャート、レポートなどを設定できます。エクスペリエンスデータに触れます。",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "この組織のAI機能を管理します。",
        "ai_instance_not_configured": "AI は環境変数を使ってインスタンスレベルで設定されます。AI 機能を有効にする前に、管理者に AI_PROVIDER、このプロバイダーの認証情報、および対応するモデル一覧を設定してもらってください。",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "「フォームはクローズしました」メッセージを調整",
        "adjust_survey_closed_message_description": "フォームがクローズしたときに訪問者が見るメッセージを変更します。",
        "adjust_theme_in_look_and_feel_settings": "テーマは<lookFeelLink>外観</lookFeelLink>設定で調整できます。",
-        "ai_data_analysis_disabled": "この組織ではAIデータ分析が無効になっています。",
        "ai_features_not_enabled": "この組織ではAI機能が有効になっていません。",
        "ai_instance_not_configured": "AIが設定されていません。管理者にお問い合わせください。",
        "ai_smart_tools_disabled": "この組織ではAIスマートツールが無効になっています。",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Alleen kleine letters, cijfers en onderstrepingstekens. Moet beginnen met een letter.",
      "attribute_key_placeholder": "bijv. geboortedatum",
      "attribute_key_required": "Sleutel is verplicht",
+      "attribute_key_reserved_future_default": "Sleutel is gereserveerd voor toekomstige standaardattributen ({reservedKeys}). Kies een andere sleutel.",
      "attribute_key_safe_identifier_required": "Sleutel moet een veilige identifier zijn: alleen kleine letters, cijfers en onderstrepingstekens, en moet beginnen met een letter",
      "attribute_label": "Label",
      "attribute_label_placeholder": "bijv. Geboortedatum",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Persoonlijke link genereren",
      "generate_personal_link_description": "Selecteer een gepubliceerde enquête om een gepersonaliseerde link voor dit contact te genereren.",
      "invalid_csv_column_names": "Ongeldige CSV-kolomna(a)m(en): {columns}. Kolomnamen die nieuwe kenmerken worden, mogen alleen kleine letters, cijfers en underscores bevatten en moeten beginnen met een letter.",
+      "invalid_csv_reserved_column_names": "Gereserveerde CSV-kolomnaam/namen: {columns}. Deze namen zijn gereserveerd voor toekomstige standaardattributen ({reservedKeys}) en kunnen niet als nieuwe attributen worden aangemaakt.",
      "invalid_date_format": "Ongeldig datumformaat. Gebruik een geldige datum.",
      "invalid_number_format": "Ongeldig getalformaat. Voer een geldig getal in.",
      "no_activity_yet": "Nog geen activiteit",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Werkruimtes die toegang krijgen"
      },
      "general": {
-        "ai_data_analysis_enabled": "Dataverrijking & analyse (AI)",
-        "ai_data_analysis_enabled_description": "AI om meer uit je data te halen, dashboards op te zetten, grafieken, rapporten en meer. Raakt je ervaringsdata aan.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Beheer AI-functies voor deze organisatie.",
        "ai_instance_not_configured": "AI wordt op instantieniveau geconfigureerd via omgevingsvariabelen. Vraag je beheerder om AI_PROVIDER, de inloggegevens voor die provider en de bijbehorende modellenlijst in te stellen voordat AI-functies worden ingeschakeld.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Pas het bericht 'Enquête gesloten' aan",
        "adjust_survey_closed_message_description": "Wijzig het bericht dat bezoekers zien wanneer de enquête wordt gesloten.",
        "adjust_theme_in_look_and_feel_settings": "Pas het thema aan in de <lookFeelLink>Look & Feel</lookFeelLink> instellingen.",
-        "ai_data_analysis_disabled": "AI-gegevensanalyse is uitgeschakeld voor deze organisatie.",
        "ai_features_not_enabled": "AI-functies zijn niet ingeschakeld voor deze organisatie.",
        "ai_instance_not_configured": "AI is niet geconfigureerd. Neem contact op met je beheerder.",
        "ai_smart_tools_disabled": "AI slimme tools zijn uitgeschakeld voor deze organisatie.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Apenas letras minúsculas, números e underscores. Deve começar com uma letra.",
      "attribute_key_placeholder": "ex: data_de_nascimento",
      "attribute_key_required": "A chave é obrigatória",
+      "attribute_key_reserved_future_default": "A chave está reservada para atributos padrão futuros ({reservedKeys}). Por favor, escolha uma chave diferente.",
      "attribute_key_safe_identifier_required": "A chave deve ser um identificador seguro: apenas letras minúsculas, números e underscores, e deve começar com uma letra",
      "attribute_label": "Etiqueta",
      "attribute_label_placeholder": "ex: Data de nascimento",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Gerar link pessoal",
      "generate_personal_link_description": "Selecione uma pesquisa publicada para gerar um link personalizado para este contato.",
      "invalid_csv_column_names": "Nome(s) de coluna CSV inválido(s): {columns}. Os nomes de colunas que se tornarão novos atributos devem conter apenas letras minúsculas, números e sublinhados, e devem começar com uma letra.",
+      "invalid_csv_reserved_column_names": "Nome(s) de coluna CSV reservado(s): {columns}. Esses nomes estão reservados para atributos padrão futuros ({reservedKeys}) e não podem ser criados como novos atributos.",
      "invalid_date_format": "Formato de data inválido. Por favor, use uma data válida.",
      "invalid_number_format": "Formato de número inválido. Por favor, insira um número válido.",
      "no_activity_yet": "Nenhuma atividade ainda",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Workspaces recebendo acesso"
      },
      "general": {
-        "ai_data_analysis_enabled": "Enriquecimento e análise de dados (IA)",
-        "ai_data_analysis_enabled_description": "IA para extrair mais dos seus dados, configurar dashboards, gráficos, relatórios e muito mais. Acessa os dados da sua experiência.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Gerencie recursos com IA para esta organização.",
        "ai_instance_not_configured": "A IA é configurada no nível da instância por meio de variáveis de ambiente. Peça ao seu administrador para definir AI_PROVIDER, as credenciais desse provedor e a lista de modelos correspondente antes de habilitar os recursos de IA.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Ajustar mensagem 'Pesquisa Encerrada''",
        "adjust_survey_closed_message_description": "Mude a mensagem que os visitantes veem quando a pesquisa está fechada.",
        "adjust_theme_in_look_and_feel_settings": "Ajuste o tema nas configurações de <lookFeelLink>Aparência</lookFeelLink>.",
-        "ai_data_analysis_disabled": "A análise de dados por IA está desabilitada para esta organização.",
        "ai_features_not_enabled": "Os recursos de IA não estão habilitados para esta organização.",
        "ai_instance_not_configured": "A IA não está configurada. Entre em contato com seu administrador.",
        "ai_smart_tools_disabled": "As ferramentas inteligentes de IA estão desabilitadas para esta organização.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Apenas letras minúsculas, números e sublinhados. Deve começar com uma letra.",
      "attribute_key_placeholder": "ex. data_de_nascimento",
      "attribute_key_required": "A chave é obrigatória",
+      "attribute_key_reserved_future_default": "A chave está reservada para atributos padrão futuros ({reservedKeys}). Por favor, escolhe uma chave diferente.",
      "attribute_key_safe_identifier_required": "A chave deve ser um identificador seguro: apenas letras minúsculas, números e sublinhados, e deve começar com uma letra",
      "attribute_label": "Etiqueta",
      "attribute_label_placeholder": "ex. Data de nascimento",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Gerar Link Pessoal",
      "generate_personal_link_description": "Selecione um inquérito publicado para gerar um link personalizado para este contacto.",
      "invalid_csv_column_names": "Nome(s) de coluna CSV inválido(s): {columns}. Os nomes de colunas que se tornarão novos atributos devem conter apenas letras minúsculas, números e underscores, e devem começar com uma letra.",
+      "invalid_csv_reserved_column_names": "Nome(s) de coluna CSV reservado(s): {columns}. Estes nomes estão reservados para atributos padrão futuros ({reservedKeys}) e não podem ser criados como novos atributos.",
      "invalid_date_format": "Formato de data inválido. Por favor, usa uma data válida.",
      "invalid_number_format": "Formato de número inválido. Por favor, introduz um número válido.",
      "no_activity_yet": "Ainda sem atividade",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Workspaces a receber acesso"
      },
      "general": {
-        "ai_data_analysis_enabled": "Enriquecimento e análise de dados (IA)",
-        "ai_data_analysis_enabled_description": "IA para tirar mais partido dos teus dados, configurar dashboards, gráficos, relatórios e muito mais. Acede aos dados da tua experiência.",
        "ai_enabled": "IA da Formbricks",
        "ai_enabled_description": "Gerir funcionalidades com IA para esta organização.",
        "ai_instance_not_configured": "A IA é configurada ao nível da instância através de variáveis de ambiente. Peça ao seu administrador para definir AI_PROVIDER, as credenciais desse fornecedor e a lista de modelos correspondente antes de ativar as funcionalidades de IA.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Ajustar mensagem de 'Inquérito Fechado'",
        "adjust_survey_closed_message_description": "Alterar a mensagem que os visitantes veem quando o inquérito está fechado.",
        "adjust_theme_in_look_and_feel_settings": "Ajusta o tema nas definições de <lookFeelLink>Aparência</lookFeelLink>.",
-        "ai_data_analysis_disabled": "A análise de dados por IA está desativada para esta organização.",
        "ai_features_not_enabled": "As funcionalidades de IA não estão ativadas para esta organização.",
        "ai_instance_not_configured": "A IA não está configurada. Contacta o teu administrador.",
        "ai_smart_tools_disabled": "As ferramentas inteligentes de IA estão desativadas para esta organização.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Doar litere mici, cifre și caractere de subliniere. Trebuie să înceapă cu o literă.",
      "attribute_key_placeholder": "ex: date_of_birth",
      "attribute_key_required": "Cheia este obligatorie",
+      "attribute_key_reserved_future_default": "Cheia este rezervată pentru atribute implicite viitoare ({reservedKeys}). Te rugăm să alegi o cheie diferită.",
      "attribute_key_safe_identifier_required": "Cheia trebuie să fie un identificator sigur: doar litere mici, cifre și caractere de subliniere, și trebuie să înceapă cu o literă",
      "attribute_label": "Etichetă",
      "attribute_label_placeholder": "ex: Data nașterii",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Generează link personal",
      "generate_personal_link_description": "Selectați un sondaj publicat pentru a genera un link personalizat pentru acest contact.",
      "invalid_csv_column_names": "Nume de coloană CSV nevalide: {columns}. Numele coloanelor care vor deveni atribute noi trebuie să conțină doar litere mici, cifre și caractere de subliniere și trebuie să înceapă cu o literă.",
+      "invalid_csv_reserved_column_names": "Nume de coloană CSV rezervate: {columns}. Aceste nume sunt rezervate pentru atribute implicite viitoare ({reservedKeys}) și nu pot fi create ca atribute noi.",
      "invalid_date_format": "Format de dată invalid. Te rugăm să folosești o dată validă.",
      "invalid_number_format": "Format de număr invalid. Te rugăm să introduci un număr valid.",
      "no_activity_yet": "Nicio activitate încă",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Spații de lucru cărora li se acordă acces"
      },
      "general": {
-        "ai_data_analysis_enabled": "Îmbogățire și analiză de date (AI)",
-        "ai_data_analysis_enabled_description": "AI pentru a obține mai mult din datele tale, configurare dashboard-uri, grafice, rapoarte și multe altele. Accesează datele tale de experiență.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Gestionează funcționalitățile bazate pe AI pentru această organizație.",
        "ai_instance_not_configured": "AI este configurată la nivel de instanță prin variabile de mediu. Cere administratorului să configureze AI_PROVIDER, credențialele acelui furnizor și lista de modele corespunzătoare înainte de a activa funcționalitățile AI.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Ajustați mesajul 'Sondaj Închis'",
        "adjust_survey_closed_message_description": "Schimbați mesajul pe care îl văd vizitatorii atunci când sondajul este închis.",
        "adjust_theme_in_look_and_feel_settings": "Ajustează tema în setările <lookFeelLink>Aspect și Experiență</lookFeelLink>.",
-        "ai_data_analysis_disabled": "Analiza de date AI este dezactivată pentru această organizație.",
        "ai_features_not_enabled": "Funcțiile AI nu sunt activate pentru această organizație.",
        "ai_instance_not_configured": "AI nu este configurat. Contactează administratorul.",
        "ai_smart_tools_disabled": "Instrumentele inteligente AI sunt dezactivate pentru această organizație.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Только строчные буквы, цифры и символы подчёркивания. Должен начинаться с буквы.",
      "attribute_key_placeholder": "например, date_of_birth",
      "attribute_key_required": "Ключ обязателен",
+      "attribute_key_reserved_future_default": "Ключ зарезервирован для будущих атрибутов по умолчанию ({reservedKeys}). Пожалуйста, выбери другой ключ.",
      "attribute_key_safe_identifier_required": "Ключ должен быть безопасным идентификатором: только строчные буквы, цифры и символы подчёркивания, и должен начинаться с буквы",
      "attribute_label": "Метка",
      "attribute_label_placeholder": "например, дата рождения",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Сгенерировать персональную ссылку",
      "generate_personal_link_description": "Выберите опубликованный опрос, чтобы сгенерировать персональную ссылку для этого контакта.",
      "invalid_csv_column_names": "Недопустимые имена столбцов в CSV: {columns}. Имена столбцов, которые станут новыми атрибутами, должны содержать только строчные буквы, цифры и подчёркивания, а также начинаться с буквы.",
+      "invalid_csv_reserved_column_names": "Зарезервированные названия столбцов CSV: {columns}. Эти названия зарезервированы для будущих атрибутов по умолчанию ({reservedKeys}) и не могут быть созданы как новые атрибуты.",
      "invalid_date_format": "Неверный формат даты. Пожалуйста, используйте корректную дату.",
      "invalid_number_format": "Неверный формат числа. Пожалуйста, введите корректное число.",
      "no_activity_yet": "Пока нет активности",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Рабочие пространства, которым предоставляется доступ"
      },
      "general": {
-        "ai_data_analysis_enabled": "Обогащение и анализ данных (ИИ)",
-        "ai_data_analysis_enabled_description": "ИИ для получения большего от твоих данных: настройка дашбордов, графиков, отчетов и не только. Работает с твоими данными об опыте.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Управляй функциями на базе ИИ для этой организации.",
        "ai_instance_not_configured": "ИИ настраивается на уровне инстанса через переменные окружения. Попросите администратора настроить AI_PROVIDER, учетные данные этого провайдера и соответствующий список моделей перед включением функций ИИ.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Изменить сообщение «Опрос закрыт»",
        "adjust_survey_closed_message_description": "Измените сообщение, которое видят посетители, когда опрос закрыт.",
        "adjust_theme_in_look_and_feel_settings": "Настройте тему в разделе <lookFeelLink>Внешний вид</lookFeelLink>.",
-        "ai_data_analysis_disabled": "Анализ данных с помощью ИИ отключён для этой организации.",
        "ai_features_not_enabled": "Функции ИИ не включены для этой организации.",
        "ai_instance_not_configured": "ИИ не настроен. Свяжись с администратором.",
        "ai_smart_tools_disabled": "Умные инструменты ИИ отключены для этой организации.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Endast små bokstäver, siffror och understreck. Måste börja med en bokstav.",
      "attribute_key_placeholder": "t.ex. date_of_birth",
      "attribute_key_required": "Nyckel krävs",
+      "attribute_key_reserved_future_default": "Nyckeln är reserverad för framtida standardattribut ({reservedKeys}). Välj en annan nyckel.",
      "attribute_key_safe_identifier_required": "Nyckeln måste vara en säker identifierare: endast små bokstäver, siffror och understreck, och måste börja med en bokstav",
      "attribute_label": "Etikett",
      "attribute_label_placeholder": "t.ex. Födelsedatum",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Generera personlig länk",
      "generate_personal_link_description": "Välj en publicerad enkät för att generera en personlig länk för denna kontakt.",
      "invalid_csv_column_names": "Ogiltiga CSV-kolumnnamn: {columns}. Kolumnnamn som ska bli nya attribut får bara innehålla små bokstäver, siffror och understreck, och måste börja med en bokstav.",
+      "invalid_csv_reserved_column_names": "Reserverade CSV-kolumnnamn: {columns}. Dessa namn är reserverade för framtida standardattribut ({reservedKeys}) och kan inte skapas som nya attribut.",
      "invalid_date_format": "Ogiltigt datumformat. Ange ett giltigt datum.",
      "invalid_number_format": "Ogiltigt nummerformat. Ange ett giltigt nummer.",
      "no_activity_yet": "Ingen aktivitet än",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Arbetsytor som beviljas åtkomst"
      },
      "general": {
-        "ai_data_analysis_enabled": "Dataförbättring & analys (AI)",
-        "ai_data_analysis_enabled_description": "AI för att få ut mer av din data, skapa dashboards, diagram, rapporter och mer. Använder din upplevelsedata.",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "Hantera AI-drivna funktioner för den här organisationen.",
        "ai_instance_not_configured": "AI konfigureras på instansnivå via miljövariabler. Be din administratör att ange AI_PROVIDER, autentiseringsuppgifterna för den leverantören och den tillhörande modellistan innan AI-funktioner aktiveras.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "Justera meddelande för 'Enkät stängd'",
        "adjust_survey_closed_message_description": "Ändra meddelandet besökare ser när enkäten är stängd.",
        "adjust_theme_in_look_and_feel_settings": "Justera temat i inställningarna för <lookFeelLink>Utseende & Känsla</lookFeelLink>.",
-        "ai_data_analysis_disabled": "AI-dataanalys är inaktiverad för den här organisationen.",
        "ai_features_not_enabled": "AI-funktioner är inte aktiverade för den här organisationen.",
        "ai_instance_not_configured": "AI är inte konfigurerad. Kontakta din administratör.",
        "ai_smart_tools_disabled": "AI smarta verktyg är inaktiverade för den här organisationen.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "Yalnızca küçük harfler, rakamlar ve alt çizgiler. Bir harfle başlamalıdır.",
      "attribute_key_placeholder": "örn. dogum_tarihi",
      "attribute_key_required": "Anahtar gereklidir",
+      "attribute_key_reserved_future_default": "Anahtar, gelecekteki varsayılan özellikler için ayrılmıştır ({reservedKeys}). Lütfen farklı bir anahtar seçin.",
      "attribute_key_safe_identifier_required": "Anahtar güvenli bir tanımlayıcı olmalıdır: yalnızca küçük harfler, rakamlar ve alt çizgiler içermeli ve bir harfle başlamalıdır",
      "attribute_label": "Etiket",
      "attribute_label_placeholder": "örn. Doğum Tarihi",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "Kişisel Bağlantı Oluştur",
      "generate_personal_link_description": "Bu kişi için kişiselleştirilmiş bir bağlantı oluşturmak üzere yayınlanmış bir anket seç.",
      "invalid_csv_column_names": "Geçersiz CSV sütun adı/adları: {columns}. Yeni özellik olacak sütun adları yalnızca küçük harf, rakam ve alt çizgi içerebilir ve bir harfle başlamalıdır.",
+      "invalid_csv_reserved_column_names": "Ayrılmış CSV sütun adı/adları: {columns}. Bu adlar gelecekteki varsayılan özellikler ({reservedKeys}) için ayrılmıştır ve yeni özellik olarak oluşturulamaz.",
      "invalid_date_format": "Geçersiz tarih formatı. Lütfen geçerli bir tarih kullanın.",
      "invalid_number_format": "Geçersiz sayı formatı. Lütfen geçerli bir sayı girin.",
      "no_activity_yet": "Henüz aktivite yok",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "Erişim verilen çalışma alanları"
      },
      "general": {
-        "ai_data_analysis_enabled": "Veri zenginleştirme ve analiz (Yapay Zeka)",
-        "ai_data_analysis_enabled_description": "Verilerinden daha fazlasını elde etmek, kontrol panelleri, grafikler, raporlar ve daha fazlasını kurmak için yapay zeka. Deneyim verilerine dokunur.",
        "ai_enabled": "Formbricks Yapay Zeka",
        "ai_enabled_description": "Bu organizasyon için yapay zeka destekli özellikleri yönet.",
        "ai_instance_not_configured": "Yapay zeka, ortam değişkenleri aracılığıyla instance seviyesinde yapılandırılır. Yapay zeka özelliklerini etkinleştirmeden önce yöneticinden AI_PROVIDER, AI_MODEL ve eşleşen sağlayıcı kimlik bilgilerini ayarlamasını iste.",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "\"Anket Kapatıldı\" mesajını düzenle",
        "adjust_survey_closed_message_description": "Anket kapalıyken ziyaretçilerin gördüğü mesajı değiştir.",
        "adjust_theme_in_look_and_feel_settings": "Temayı <lookFeelLink>Görünüm ve His</lookFeelLink> Ayarlarından düzenleyin.",
-        "ai_data_analysis_disabled": "Bu organizasyon için yapay zeka veri analizi devre dışı.",
        "ai_features_not_enabled": "Bu organizasyon için yapay zeka özellikleri etkinleştirilmemiş.",
        "ai_instance_not_configured": "Yapay zeka yapılandırılmamış. Yöneticinle iletişime geç.",
        "ai_smart_tools_disabled": "Bu organizasyon için yapay zeka akıllı araçları devre dışı.",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "仅允许小写字母、数字和下划线，且必须以字母开头。",
      "attribute_key_placeholder": "例如：date_of_birth",
      "attribute_key_required": "键为必填项",
+      "attribute_key_reserved_future_default": "该键已保留用于未来的默认属性（{reservedKeys}）。请选择其他键。",
      "attribute_key_safe_identifier_required": "键必须为安全标识符：仅允许小写字母、数字和下划线，且必须以字母开头",
      "attribute_label": "标签",
      "attribute_label_placeholder": "例如：出生日期",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "生成个人链接",
      "generate_personal_link_description": "选择一个已发布的调查，为此联系人生成个性化链接。",
      "invalid_csv_column_names": "无效的 CSV 列名：{columns}。作为新属性的列名只能包含小写字母、数字和下划线，并且必须以字母开头。",
+      "invalid_csv_reserved_column_names": "CSV 列名已被保留：{columns}。这些名称已保留用于未来的默认属性（{reservedKeys}），无法创建为新属性。",
      "invalid_date_format": "日期格式无效。请使用有效日期。",
      "invalid_number_format": "数字格式无效。请输入有效的数字。",
      "no_activity_yet": "暂无活动",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "将被授权访问的工作区"
      },
      "general": {
-        "ai_data_analysis_enabled": "数据增强与分析（AI）",
-        "ai_data_analysis_enabled_description": "使用 AI 深度挖掘你的数据，设置仪表盘、图表、报告等。会处理你的体验数据。",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "管理该组织的 AI 驱动功能。",
        "ai_instance_not_configured": "AI 通过环境变量在实例级别进行配置。启用 AI 功能前，请让管理员设置 AI_PROVIDER、该提供商的凭据以及对应的模型列表。",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "调整 \"调查 关闭\" 消息",
        "adjust_survey_closed_message_description": "更改 访客 看到 调查 关闭 时 的 消息。",
        "adjust_theme_in_look_and_feel_settings": "在<lookFeelLink>外观与感觉</lookFeelLink>设置中调整主题。",
-        "ai_data_analysis_disabled": "此组织已禁用 AI 数据分析。",
        "ai_features_not_enabled": "此组织未启用 AI 功能。",
        "ai_instance_not_configured": "AI 未配置。请联系您的管理员。",
        "ai_smart_tools_disabled": "此组织已禁用 AI 智能工具。",
@@ -1935,6 +1935,7 @@
      "attribute_key_hint": "僅限小寫字母、數字和底線，且必須以字母開頭。",
      "attribute_key_placeholder": "例如：date_of_birth",
      "attribute_key_required": "金鑰為必填項目",
+      "attribute_key_reserved_future_default": "此鍵已保留供未來預設屬性使用（{reservedKeys}）。請選擇其他鍵。",
      "attribute_key_safe_identifier_required": "金鑰必須為安全識別字：僅限小寫字母、數字和底線，且必須以字母開頭",
      "attribute_label": "標籤",
      "attribute_label_placeholder": "例如：出生日期",
@@ -1969,6 +1970,7 @@
      "generate_personal_link": "產生個人連結",
      "generate_personal_link_description": "選擇一個已發佈的問卷，為此聯絡人產生個人化連結。",
      "invalid_csv_column_names": "無效的 CSV 欄位名稱：{columns}。作為新屬性的欄位名稱只能包含小寫字母、數字和底線，且必須以字母開頭。",
+      "invalid_csv_reserved_column_names": "保留的 CSV 欄位名稱：{columns}。這些名稱已保留供未來預設屬性使用（{reservedKeys}），無法建立為新屬性。",
      "invalid_date_format": "日期格式無效。請使用有效的日期。",
      "invalid_number_format": "數字格式無效。請輸入有效的數字。",
      "no_activity_yet": "尚無活動",
@@ -2610,8 +2612,6 @@
        "workspaces_being_added": "正在授予存取權限的工作區"
      },
      "general": {
-        "ai_data_analysis_enabled": "資料增強與分析（AI）",
-        "ai_data_analysis_enabled_description": "利用 AI 深入分析你的資料，建立儀表板、圖表、報告等。會處理你的體驗資料。",
        "ai_enabled": "Formbricks AI",
        "ai_enabled_description": "管理此組織的 AI 功能。",
        "ai_instance_not_configured": "AI 會透過環境變數在實例層級進行設定。啟用 AI 功能前，請管理員設定 AI_PROVIDER、該供應商的憑證，以及對應的模型清單。",
@@ -2818,7 +2818,6 @@
        "adjust_survey_closed_message": "調整「問卷已關閉」訊息",
        "adjust_survey_closed_message_description": "變更訪客在問卷關閉時看到的訊息。",
        "adjust_theme_in_look_and_feel_settings": "在<lookFeelLink>外觀與感覺</lookFeelLink>設定中調整主題。",
-        "ai_data_analysis_disabled": "此組織已停用 AI 資料分析。",
        "ai_features_not_enabled": "此組織未啟用 AI 功能。",
        "ai_instance_not_configured": "AI 未設定。請聯絡您的管理員。",
        "ai_smart_tools_disabled": "此組織已停用 AI 智慧工具。",
@@ -10,6 +10,10 @@ import {
  TGetContactAttributeKeysFilter,
 } from "@/modules/api/v2/management/contact-attribute-keys/types/contact-attribute-keys";
 import { ApiErrorResponseV2 } from "@/modules/api/v2/types/api-error";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";

 export const getContactAttributeKeys = reactCache(
  async (workspaceIds: string[], params: TGetContactAttributeKeysFilter) => {
@@ -45,6 +49,13 @@ export const createContactAttributeKey = async (
 ): Promise<Result<ContactAttributeKey, ApiErrorResponseV2>> => {
  const { workspaceId, name, description, key, dataType } = contactAttributeKey;

+  if (isReservedFutureDefaultAttributeKey(key)) {
+    return err({
+      type: "bad_request",
+      details: [{ field: "key", issue: getReservedFutureDefaultAttributeKeyIssue([key]) }],
+    });
+  }
+
  try {
    const prismaData: Prisma.ContactAttributeKeyCreateInput = {
      workspace: {
@@ -105,6 +105,28 @@ describe("createContactAttributeKey", () => {
    }
  });

+  test("returns bad request when key is reserved for future defaults", async () => {
+    const result = await createContactAttributeKey({
+      ...inputContactAttributeKey,
+      key: "user_id",
+    });
+    expect(result.ok).toBe(false);
+    expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
+
+    if (!result.ok) {
+      expect(result.error).toStrictEqual({
+        type: "bad_request",
+        details: [
+          {
+            field: "key",
+            issue:
+              "Reserved attribute key(s): user_id. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.",
+          },
+        ],
+      });
+    }
+  });
+
  test("returns conflict error when key already exists", async () => {
    const errToThrow = new Prisma.PrismaClientKnownRequestError("Mock error message", {
      code: PrismaErrorType.UniqueConstraintViolation,
@@ -2,6 +2,10 @@ import { z } from "zod";
 import { ZContactAttributeKey } from "@formbricks/database/zod/contact-attribute-keys";
 import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { ZGetFilter } from "@/modules/api/v2/types/api-filter";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";

 export const ZGetContactAttributeKeysFilter = ZGetFilter.extend({})
  .refine(
@@ -38,6 +42,14 @@ export const ZContactAttributeKeyInput = ZContactAttributeKey.pick({
        path: ["key"],
      });
    }
+
+    if (isReservedFutureDefaultAttributeKey(data.key)) {
+      ctx.addIssue({
+        code: "custom",
+        message: getReservedFutureDefaultAttributeKeyIssue([data.key]),
+        path: ["key"],
+      });
+    }
  })
  .meta({
    id: "contactAttributeKeyInput",
@@ -65,6 +77,14 @@ export const ZContactAttributeKeyCreateInput = ZContactAttributeKey.pick({
        path: ["key"],
      });
    }
+
+    if (isReservedFutureDefaultAttributeKey(data.key)) {
+      ctx.addIssue({
+        code: "custom",
+        message: getReservedFutureDefaultAttributeKeyIssue([data.key]),
+        path: ["key"],
+      });
+    }
  })
  .meta({
    id: "contactAttributeKeyCreateInput",
@@ -2,7 +2,7 @@ import { Prisma } from "@prisma/client";
 import { beforeEach, describe, expect, test, vi } from "vitest";
 import { prisma } from "@formbricks/database";
 import { PrismaErrorType } from "@formbricks/database/types/error";
-import { InvalidInputError, ResourceNotFoundError } from "@formbricks/types/errors";
+import { InvalidInputError, ResourceNotFoundError, ValidationError } from "@formbricks/types/errors";
 import { mockUser } from "./mock-data";
 import { createUser, getUser, getUserByEmail, updateUser, updateUserLastLoginAt } from "./user";

@@ -53,6 +53,41 @@ describe("User Management", () => {
      expect(result).toEqual(mockPrismaUser);
    });

+    test("creates a user with an Azure AD enterprise display name", async () => {
+      const enterpriseDisplayName = "Lastname,Firstname (DEPT) COMPANY-CITY";
+      vi.mocked(prisma.user.create).mockResolvedValueOnce({
+        ...mockPrismaUser,
+        name: enterpriseDisplayName,
+      });
+
+      const result = await createUser({
+        email: mockUser.email,
+        name: enterpriseDisplayName,
+        locale: mockUser.locale,
+      });
+
+      expect(result.name).toBe(enterpriseDisplayName);
+      expect(prisma.user.create).toHaveBeenCalledWith(
+        expect.objectContaining({
+          data: expect.objectContaining({
+            name: enterpriseDisplayName,
+          }),
+        })
+      );
+    });
+
+    test("rejects display names with newline characters", async () => {
+      await expect(
+        createUser({
+          email: mockUser.email,
+          name: "Lastname,Firstname\n(DEPT) COMPANY-CITY",
+          locale: mockUser.locale,
+        })
+      ).rejects.toThrow(ValidationError);
+
+      expect(prisma.user.create).not.toHaveBeenCalled();
+    });
+
    test("throws InvalidInputError when email already exists", async () => {
      const errToThrow = new Prisma.PrismaClientKnownRequestError("Mock error message", {
        code: PrismaErrorType.UniqueConstraintViolation,
@@ -10,7 +10,6 @@ export const CLOUD_STRIPE_FEATURE_LOOKUP_KEYS = {
  SPAM_PROTECTION: "spam-protection",
  CONTACTS: "contacts",
  AI_SMART_TOOLS: "ai-smart-tools",
-  AI_DATA_ANALYSIS: "ai-data-analysis",
  FEEDBACK_DIRECTORIES: "feedback-directories",
  DASHBOARDS: "dashboards",
 } as const;
@@ -81,7 +81,7 @@ export const translateSurveyFieldsAction = authenticatedActionClient
      ],
    });

-    await assertOrganizationAIConfigured(organizationId, "smartTools");
+    await assertOrganizationAIConfigured(organizationId);

    const translations = await translateFields({
      organizationId,
@@ -40,7 +40,6 @@ Rules:

  const result = await generateOrganizationAIText({
    organizationId,
-    capability: "smartTools",
    system: systemPrompt,
    prompt: JSON.stringify(items),
  });
@@ -3,6 +3,7 @@ import cubejs, { type Query } from "@cubejs-client/core";
 import { randomUUID } from "node:crypto";
 import { logger } from "@formbricks/logger";
 import type { TChartQuery } from "@formbricks/types/analysis";
+import { expandPresetDateRanges } from "@/modules/ee/analysis/lib/date-presets";
 import { queueAuditEventWithoutRequest } from "@/modules/ee/audit-logs/lib/handler";
 import { UNKNOWN_DATA } from "@/modules/ee/audit-logs/types/audit-log";
 import { type TCubeQuerySource, getCubeApiConfig } from "./cube-config";
@@ -89,7 +90,7 @@ export async function executeTenantScopedQuery(input: TScopedCubeQueryInput) {

  try {
    const client = cubejs(token, { apiUrl });
-    const resultSet = await client.load(input.query as Query);
+    const resultSet = await client.load(expandPresetDateRanges(input.query) as Query);
    const result = resultSet.tablePivot();
    queueCubeQueryAuditEvent({ input, requestId, status: "success" });
    return result;
@@ -363,10 +363,7 @@ export const generateAIChartAction = authenticatedActionClient

      await checkDashboardsEnabled(organizationId);

-      // Verify AI is entitled, enabled at org level, and configured at instance level.
-      // Uses "smartTools" (not "dataAnalysis") because chart generation only sends the
-      // Cube schema context and the user's prompt to the LLM — no response PII.
-      await assertOrganizationAIConfigured(organizationId, "smartTools");
+      await assertOrganizationAIConfigured(organizationId);

      const { feedbackDirectoryId } = await checkFeedbackDirectoryAccess({
        feedbackDirectoryId: parsedInput.feedbackDirectoryId,
@@ -83,6 +83,24 @@ export function TimeDimensionPanel({
    }
  };

+  const handleDateRangeTypeChange = (value: "preset" | "custom") => {
+    setDateRangeType(value);
+    if (!timeDimension) return;
+
+    if (value === "preset") {
+      const nextPreset = presetValue || "last 30 days";
+      if (!presetValue) setPresetValue(nextPreset);
+      onTimeDimensionChange({ ...timeDimension, dateRange: nextPreset });
+      return;
+    }
+
+    const start = customStartDate ?? new Date();
+    const end = customEndDate ?? start;
+    if (!customStartDate) setCustomStartDate(start);
+    if (!customEndDate) setCustomEndDate(end);
+    onTimeDimensionChange({ ...timeDimension, dateRange: [start, end] });
+  };
+
  if (!timeDimension) {
    return (
      <div className="space-y-2">
@@ -150,7 +168,7 @@ export function TimeDimensionPanel({
          <div className="space-y-2">
            <Select
              value={dateRangeType}
-              onValueChange={(value) => setDateRangeType(value as "preset" | "custom")}>
+              onValueChange={(value) => handleDateRangeTypeChange(value as "preset" | "custom")}>
              <SelectTrigger className="w-full bg-white">
                <SelectValue />
              </SelectTrigger>
@@ -0,0 +1,96 @@
+import { describe, expect, test } from "vitest";
+import type { TChartQuery } from "@formbricks/types/analysis";
+import { expandPresetDateRanges } from "./date-presets";
+
+const queryWithDateRange = (dateRange: string | [string, string]): TChartQuery => ({
+  measures: ["FeedbackRecords.count"],
+  timeDimensions: [{ dimension: "FeedbackRecords.collectedAt", dateRange }],
+});
+
+// Mid-month, mid-quarter date that exercises month/quarter/year boundaries cleanly.
+const NOW = new Date(2026, 4, 21, 14, 30, 0); // May 21, 2026 14:30 local
+
+describe("expandPresetDateRanges", () => {
+  test("includes today for 'last 7 days'", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("last 7 days"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-15", "2026-05-21"]);
+  });
+
+  test("includes today for 'last 30 days'", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("last 30 days"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-22", "2026-05-21"]);
+  });
+
+  test("expands 'today' to today..today", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("today"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-21", "2026-05-21"]);
+  });
+
+  test("expands 'yesterday' to yesterday..yesterday", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("yesterday"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-20", "2026-05-20"]);
+  });
+
+  test("'this month' runs from the 1st through today", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("this month"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-01", "2026-05-21"]);
+  });
+
+  test("'last month' is the full previous calendar month", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("last month"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-01", "2026-04-30"]);
+  });
+
+  test("'last month' handles year rollover", () => {
+    const janFirst = new Date(2026, 0, 15, 10, 0, 0);
+    const result = expandPresetDateRanges(queryWithDateRange("last month"), janFirst);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2025-12-01", "2025-12-31"]);
+  });
+
+  test("'this quarter' starts at the first day of the calendar quarter", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("this quarter"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-01", "2026-05-21"]);
+  });
+
+  test("'this year' starts on Jan 1", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("this year"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-01-01", "2026-05-21"]);
+  });
+
+  test("leaves explicit [start, end] tuple unchanged", () => {
+    const result = expandPresetDateRanges(queryWithDateRange(["2026-01-01", "2026-01-15"]), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-01-01", "2026-01-15"]);
+  });
+
+  test("leaves an unknown preset string unchanged so Cube can interpret it", () => {
+    const result = expandPresetDateRanges(queryWithDateRange("from -3 days to now"), NOW);
+    expect(result.timeDimensions?.[0].dateRange).toBe("from -3 days to now");
+  });
+
+  test("returns input unchanged when there are no time dimensions", () => {
+    const q: TChartQuery = { measures: ["FeedbackRecords.count"] };
+    expect(expandPresetDateRanges(q, NOW)).toEqual(q);
+  });
+
+  test("preserves other timeDimension fields (granularity, dimension)", () => {
+    const q: TChartQuery = {
+      measures: ["FeedbackRecords.count"],
+      timeDimensions: [
+        { dimension: "FeedbackRecords.collectedAt", granularity: "day", dateRange: "last 7 days" },
+      ],
+    };
+    const result = expandPresetDateRanges(q, NOW);
+    expect(result.timeDimensions?.[0]).toMatchObject({
+      dimension: "FeedbackRecords.collectedAt",
+      granularity: "day",
+      dateRange: ["2026-05-15", "2026-05-21"],
+    });
+  });
+
+  test("does not mutate the input query", () => {
+    const q = queryWithDateRange("last 7 days");
+    const before = JSON.stringify(q);
+    expandPresetDateRanges(q, NOW);
+    expect(JSON.stringify(q)).toBe(before);
+  });
+});
@@ -0,0 +1,37 @@
+import { addDays, formatDate, startOfDay, startOfMonth, startOfQuarter, startOfYear } from "date-fns";
+import type { TChartQuery } from "@formbricks/types/analysis";
+
+// Cube's native "last N days" / "this month" / etc. strings exclude today; we expand them
+// to explicit inclusive ranges so charts behave like every other analytics tool (GA, Mixpanel,
+// PostHog, ...) and include the current partial day.
+const PRESET_RESOLVERS: Record<string, (now: Date) => [Date, Date]> = {
+  today: (now) => [startOfDay(now), startOfDay(now)],
+  yesterday: (now) => [addDays(startOfDay(now), -1), addDays(startOfDay(now), -1)],
+  "last 7 days": (now) => [addDays(startOfDay(now), -6), startOfDay(now)],
+  "last 30 days": (now) => [addDays(startOfDay(now), -29), startOfDay(now)],
+  "this month": (now) => [startOfMonth(now), startOfDay(now)],
+  "last month": (now) => {
+    const firstOfThisMonth = startOfMonth(now);
+    const lastOfLastMonth = addDays(firstOfThisMonth, -1);
+    return [startOfMonth(lastOfLastMonth), lastOfLastMonth];
+  },
+  "this quarter": (now) => [startOfQuarter(now), startOfDay(now)],
+  "this year": (now) => [startOfYear(now), startOfDay(now)],
+};
+
+export const expandPresetDateRanges = (query: TChartQuery, now: Date = new Date()): TChartQuery => {
+  if (!query.timeDimensions?.length) return query;
+
+  const expanded = query.timeDimensions.map((td) => {
+    if (typeof td.dateRange !== "string") return td;
+    const resolver = PRESET_RESOLVERS[td.dateRange.toLowerCase().trim()];
+    if (!resolver) return td;
+    const [start, end] = resolver(now);
+    return {
+      ...td,
+      dateRange: [formatDate(start, "yyyy-MM-dd"), formatDate(end, "yyyy-MM-dd")] as [string, string],
+    };
+  });
+
+  return { ...query, timeDimensions: expanded };
+};
@@ -1,3 +1,5 @@
+import { readFileSync } from "node:fs";
+import { fileURLToPath } from "node:url";
 import { describe, expect, test } from "vitest";
 import {
  FEEDBACK_FIELDS,
@@ -6,6 +8,17 @@ import {
  getFilterOperatorsForType,
 } from "./schema-definition";

+const chartCubeSchemaPath = fileURLToPath(
+  new URL("../../../../../../charts/formbricks/cube/schema/FeedbackRecords.js", import.meta.url)
+);
+const dockerCubeSchemaPath = fileURLToPath(
+  new URL("../../../../../../docker/cube/schema/FeedbackRecords.js", import.meta.url)
+);
+
+const readChartCubeSchema = (): string => readFileSync(chartCubeSchemaPath, "utf8");
+const readDockerCubeSchema = (): string => readFileSync(dockerCubeSchemaPath, "utf8");
+const getCubeMemberName = (id: string): string => id.replace("FeedbackRecords.", "");
+
 describe("schema-definition", () => {
  describe("getFilterOperatorsForType", () => {
    test("returns string operators", () => {
@@ -94,5 +107,20 @@ describe("schema-definition", () => {
      );
      expect(ids).not.toContain("FeedbackRecords.averageScore");
    });
+
+    test("only exposes members present in the deployed Cube schema", () => {
+      const chartCubeSchema = readChartCubeSchema();
+      const exposedMembers = [...FEEDBACK_FIELDS.measures, ...FEEDBACK_FIELDS.dimensions].map(({ id }) =>
+        getCubeMemberName(id)
+      );
+
+      for (const member of exposedMembers) {
+        expect(chartCubeSchema).toContain(`    ${member}: {`);
+      }
+    });
+
+    test("keeps the Helm and Docker Cube schemas in sync", () => {
+      expect(readChartCubeSchema()).toBe(readDockerCubeSchema());
+    });
  });
 });
@@ -3,8 +3,12 @@ import { cache as reactCache } from "react";
 import { prisma } from "@formbricks/database";
 import { ZId } from "@formbricks/types/common";
 import { TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
-import { DatabaseError } from "@formbricks/types/errors";
+import { DatabaseError, InvalidInputError } from "@formbricks/types/errors";
 import { validateInputs } from "@/lib/utils/validate";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import {
  TContactAttributeKeyUpdateInput,
  ZContactAttributeKeyUpdateInput,
@@ -56,6 +60,10 @@ export const updateContactAttributeKey = async (
 ): Promise<TContactAttributeKey | null> => {
  validateInputs([contactAttributeKeyId, ZId], [data, ZContactAttributeKeyUpdateInput]);

+  if (data.key && isReservedFutureDefaultAttributeKey(data.key)) {
+    throw new InvalidInputError(getReservedFutureDefaultAttributeKeyIssue([data.key]));
+  }
+
  try {
    const contactAttributeKey = await prisma.contactAttributeKey.update({
      where: {
@@ -1,12 +1,21 @@
 import { z } from "zod";
 import { ZContactAttributeDataType } from "@formbricks/types/contact-attribute-key";
 import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
+import {
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";

 export const ZContactAttributeKeyCreateInput = z.object({
-  key: z.string().refine((val) => isSafeIdentifier(val), {
-    error:
-      "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
-  }),
+  key: z
+    .string()
+    .refine((val) => isSafeIdentifier(val), {
+      error:
+        "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
+    })
+    .refine((val) => !isReservedFutureDefaultAttributeKey(val), {
+      error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
+    }),
  description: z.string().optional(),
  type: z.enum(["custom"]),
  dataType: ZContactAttributeDataType.optional(),
@@ -24,6 +33,9 @@ export const ZContactAttributeKeyUpdateInput = z.object({
      error:
        "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
    })
+    .refine((val) => !isReservedFutureDefaultAttributeKey(val), {
+      error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
+    })
    .optional(),
  dataType: ZContactAttributeDataType.optional(),
 });
@@ -3,7 +3,7 @@ import { beforeEach, describe, expect, test, vi } from "vitest";
 import { prisma } from "@formbricks/database";
 import { PrismaErrorType } from "@formbricks/database/types/error";
 import { TContactAttributeKeyType } from "@formbricks/types/contact-attribute-key";
-import { DatabaseError, OperationNotAllowedError } from "@formbricks/types/errors";
+import { DatabaseError, InvalidInputError, OperationNotAllowedError } from "@formbricks/types/errors";
 import { MAX_ATTRIBUTE_CLASSES_PER_ENVIRONMENT } from "@/lib/constants";
 import { TContactAttributeKeyCreateInput } from "@/modules/ee/contacts/api/v1/management/contact-attribute-keys/[contactAttributeKeyId]/types/contact-attribute-keys";
 import { createContactAttributeKey, getContactAttributeKeys } from "./contact-attribute-keys";
@@ -144,6 +144,17 @@ describe("createContactAttributeKey", () => {
    expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
  });

+  test("should throw InvalidInputError when key is reserved for future defaults", async () => {
+    await expect(
+      createContactAttributeKey(workspaceId, {
+        ...createInput,
+        key: "user_id",
+      })
+    ).rejects.toThrow(InvalidInputError);
+    expect(prisma.contactAttributeKey.count).not.toHaveBeenCalled();
+    expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
+  });
+
  test("should throw DatabaseError if Prisma create fails", async () => {
    vi.mocked(prisma.contactAttributeKey.count).mockResolvedValue(0);
    const errorMessage = "Prisma create error";
@@ -3,10 +3,14 @@ import { cache as reactCache } from "react";
 import { prisma } from "@formbricks/database";
 import { PrismaErrorType } from "@formbricks/database/types/error";
 import { TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
-import { DatabaseError, OperationNotAllowedError } from "@formbricks/types/errors";
+import { DatabaseError, InvalidInputError, OperationNotAllowedError } from "@formbricks/types/errors";
 import { MAX_ATTRIBUTE_CLASSES_PER_ENVIRONMENT } from "@/lib/constants";
 import { formatSnakeCaseToTitleCase } from "@/lib/utils/safe-identifier";
 import { TContactAttributeKeyCreateInput } from "@/modules/ee/contacts/api/v1/management/contact-attribute-keys/[contactAttributeKeyId]/types/contact-attribute-keys";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";

 export const getContactAttributeKeys = reactCache(
  async (workspaceIds: string[]): Promise<TContactAttributeKey[]> => {
@@ -29,6 +33,10 @@ export const createContactAttributeKey = async (
  workspaceId: string,
  data: TContactAttributeKeyCreateInput
 ): Promise<TContactAttributeKey | null> => {
+  if (isReservedFutureDefaultAttributeKey(data.key)) {
+    throw new InvalidInputError(getReservedFutureDefaultAttributeKeyIssue([data.key]));
+  }
+
  const contactAttributeKeysCount = await prisma.contactAttributeKey.count({
    where: {
      workspaceId,
@@ -6,6 +6,10 @@ import { TContactAttributeDataType } from "@formbricks/types/contact-attribute-k
 import { Result, err, ok } from "@formbricks/types/error-handlers";
 import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { ApiErrorResponseV2 } from "@/modules/api/v2/types/api-error";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { prepareAttributeColumnsForStorage } from "@/modules/ee/contacts/lib/attribute-storage";
 import { detectAttributeDataType } from "@/modules/ee/contacts/lib/detect-attribute-type";
 import { TContactBulkUploadContact } from "@/modules/ee/contacts/types/contact";
@@ -545,6 +549,22 @@ export const upsertBulkContacts = async (
    });
  }

+  const reservedNewKeys = attributeKeys.filter(
+    (key) => !existingKeySet.has(key) && isReservedFutureDefaultAttributeKey(key)
+  );
+
+  if (reservedNewKeys.length > 0) {
+    return err({
+      type: "bad_request",
+      details: [
+        {
+          field: "attributes",
+          issue: getReservedFutureDefaultAttributeKeyIssue(reservedNewKeys),
+        },
+      ],
+    });
+  }
+
  // Type Detection Phase
  const attributeValuesByKey = buildAttributeValuesByKey(contacts);
  const attributeTypeMap = determineAttributeTypes(attributeValuesByKey, existingAttributeKeys);
@@ -347,6 +347,42 @@ describe("upsertBulkContacts", () => {
    expect(prisma.$executeRaw).toHaveBeenCalled();
  });

+  test("should return bad request when payload creates reserved future default keys", async () => {
+    const mockContacts = [
+      {
+        attributes: [
+          { attributeKey: { key: "email", name: "Email" }, value: "john@example.com" },
+          { attributeKey: { key: "user_id", name: "User Id" }, value: "user-123" },
+        ],
+      },
+    ];
+
+    const mockParsedEmails = ["john@example.com"];
+
+    vi.mocked(prisma.contactAttribute.findMany).mockResolvedValueOnce([]);
+    vi.mocked(prisma.contact.findMany).mockResolvedValueOnce([]);
+    vi.mocked(prisma.contactAttributeKey.findMany).mockResolvedValueOnce([
+      { id: "attr-key-email", key: "email", workspaceId: mockWorkspaceId, name: "Email" },
+    ] as any);
+
+    const result = await upsertBulkContacts(mockContacts, mockWorkspaceId, mockParsedEmails);
+    expect(result.ok).toBe(false);
+    expect(prisma.contact.createMany).not.toHaveBeenCalled();
+
+    if (!result.ok) {
+      expect(result.error).toStrictEqual({
+        type: "bad_request",
+        details: [
+          {
+            field: "attributes",
+            issue:
+              "Reserved attribute key(s): user_id. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.",
+          },
+        ],
+      });
+    }
+  });
+
  test("should update attribute key names when they change", async () => {
    // Mock data: a contact with an attribute that has a new name for an existing key
    const mockContacts = [
@@ -10,6 +10,10 @@ import { checkAuthorizationUpdated } from "@/lib/utils/action-client/action-clie
 import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
 import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { withAuditLogging } from "@/modules/ee/audit-logs/lib/handler";
+import {
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import {
  createContactAttributeKey,
  deleteContactAttributeKey,
@@ -19,10 +23,15 @@ import {

 const ZCreateContactAttributeKeyAction = z.object({
  workspaceId: ZId,
-  key: z.string().refine((val) => isSafeIdentifier(val), {
-    error:
-      "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
-  }),
+  key: z
+    .string()
+    .refine((val) => isSafeIdentifier(val), {
+      error:
+        "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
+    })
+    .refine((val) => !isReservedFutureDefaultAttributeKey(val), {
+      error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
+    }),
  name: z.string().optional(),
  description: z.string().optional(),
  dataType: ZContactAttributeDataType.optional(),
@@ -8,6 +8,10 @@ import { useTranslation } from "react-i18next";
 import { TContactAttributeDataType } from "@formbricks/types/contact-attribute-key";
 import { getFormattedErrorMessage } from "@/lib/utils/helper";
 import { formatSnakeCaseToTitleCase, isSafeIdentifier, toSafeIdentifier } from "@/lib/utils/safe-identifier";
+import {
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { Button } from "@/modules/ui/components/button";
 import {
  Dialog,
@@ -93,6 +97,14 @@ export function CreateAttributeModal({ workspaceId }: Readonly<CreateAttributeMo
      );
      return false;
    }
+    if (isReservedFutureDefaultAttributeKey(key)) {
+      setKeyError(
+        t("workspace.contacts.attribute_key_reserved_future_default", {
+          reservedKeys: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+        })
+      );
+      return false;
+    }
    setKeyError("");
    return true;
  };
@@ -10,33 +10,37 @@ export const CsvTable = ({ data }: CsvTableProps) => {
  }

  const columns = Object.keys(data[0]);
-
  return (
    <div className="w-full overflow-x-auto rounded-md">
-      <div
-        className="sticky top-0 z-10 grid gap-2 border-b-2 border-slate-100 bg-slate-100 px-3 py-2 text-left"
-        style={{ gridTemplateColumns: `repeat(${columns.length}, minmax(100px, 1fr))` }}>
-        {columns.map((header, index) => (
-          <span
-            key={index}
-            className="overflow-hidden text-ellipsis whitespace-nowrap text-xs font-semibold capitalize leading-tight">
-            {header.replace(/_/g, " ")}
-          </span>
-        ))}
-      </div>
-
-      {data.map((row, rowIndex) => (
-        <div
-          key={rowIndex}
-          className="grid gap-2 border-b border-gray-200 bg-white px-3 py-2 text-left leading-tight last:border-b-0"
-          style={{ gridTemplateColumns: `repeat(${columns.length}, minmax(100px, 1fr))` }}>
-          {columns.map((header, colIndex) => (
-            <span key={colIndex} className="overflow-hidden text-ellipsis whitespace-nowrap text-xs">
-              {row[header]}
-            </span>
+      <table className="w-max min-w-full border-separate border-spacing-0 text-left text-xs">
+        <thead>
+          <tr className="bg-slate-100">
+            {columns.map((header) => (
+              <th
+                key={header}
+                scope="col"
+                className="sticky top-0 z-10 min-w-[120px] border-b-2 border-slate-200 bg-slate-100 px-3 py-2 font-semibold">
+                {header}
+              </th>
+            ))}
+          </tr>
+        </thead>
+        <tbody>
+          {data.map((row, rowIndex) => (
+            <tr key={rowIndex} className="bg-white">
+              {columns.map((header) => (
+                <td
+                  key={`${rowIndex}-${header}`}
+                  className="min-w-[120px] border-b border-slate-200 px-3 py-2">
+                  <span className="block overflow-hidden text-ellipsis whitespace-nowrap">
+                    {row[header] ?? ""}
+                  </span>
+                </td>
+              ))}
+            </tr>
          ))}
-        </div>
-      ))}
+        </tbody>
+      </table>
    </div>
  );
 };
@@ -4,6 +4,10 @@ import { ChevronDownIcon } from "lucide-react";
 import { useEffect, useMemo } from "react";
 import { useTranslation } from "react-i18next";
 import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
+import {
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { Button } from "@/modules/ui/components/button";
 import {
  Command,
@@ -41,6 +45,8 @@ export const UploadContactsAttributeCombobox = ({
  currentKey,
 }: ITagsComboboxProps) => {
  const { t } = useTranslation();
+  const normalizedSearchValue = searchValue.trim();
+
  useEffect(() => {
    // reset search value and value when closing the combobox
    if (!open) {
@@ -50,20 +56,56 @@ export const UploadContactsAttributeCombobox = ({

  // Check if the search value is a valid safe identifier for creating new attributes
  const isValidNewKey = useMemo(() => {
-    if (!searchValue) return false;
-    return isSafeIdentifier(searchValue.trim());
-  }, [searchValue]);
+    if (!normalizedSearchValue) return false;
+    return isSafeIdentifier(normalizedSearchValue);
+  }, [normalizedSearchValue]);
+
+  const isReservedNewKey = useMemo(() => {
+    if (!normalizedSearchValue) return false;
+    return isReservedFutureDefaultAttributeKey(normalizedSearchValue);
+  }, [normalizedSearchValue]);

  const existingKeyMatch = useMemo(() => {
    return keys.find((tag) => tag?.label?.toLowerCase().includes(searchValue?.toLowerCase()));
  }, [keys, searchValue]);

  const handleCreateKey = () => {
-    if (isValidNewKey && !existingKeyMatch) {
-      createKey(searchValue.trim());
+    if (isValidNewKey && !existingKeyMatch && !isReservedNewKey) {
+      createKey(normalizedSearchValue);
    }
  };

+  const renderCreateOptionContent = () => {
+    if (isValidNewKey && !isReservedNewKey) {
+      return (
+        <button
+          onClick={handleCreateKey}
+          className="h-8 w-full text-left hover:cursor-pointer hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+          disabled={!!existingKeyMatch}>
+          + {t("common.add")} {normalizedSearchValue}
+        </button>
+      );
+    }
+
+    if (isReservedNewKey) {
+      return (
+        <div className="flex flex-col py-1 text-xs text-slate-500">
+          <span className="text-red-500">
+            {t("workspace.contacts.attribute_key_reserved_future_default", {
+              reservedKeys: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+            })}
+          </span>
+        </div>
+      );
+    }
+
+    return (
+      <div className="flex flex-col py-1 text-xs text-slate-500">
+        <span className="text-red-500">{t("workspace.contacts.attribute_key_safe_identifier_required")}</span>
+      </div>
+    );
+  };
+
  return (
    <Popover open={open} onOpenChange={setOpen}>
      <PopoverTrigger asChild>
@@ -135,22 +177,7 @@ export const UploadContactsAttributeCombobox = ({
                );
              })}
              {searchValue !== "" && !keys.some((tag) => tag.label === searchValue) && (
-                <CommandItem value="_create">
-                  {isValidNewKey ? (
-                    <button
-                      onClick={handleCreateKey}
-                      className="h-8 w-full text-left hover:cursor-pointer hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
-                      disabled={!!existingKeyMatch}>
-                      + {t("common.add")} {searchValue.trim()}
-                    </button>
-                  ) : (
-                    <div className="flex flex-col py-1 text-xs text-slate-500">
-                      <span className="text-red-500">
-                        {t("workspace.contacts.attribute_key_safe_identifier_required")}
-                      </span>
-                    </div>
-                  )}
-                </CommandItem>
+                <CommandItem value="_create">{renderCreateOptionContent()}</CommandItem>
              )}
            </CommandGroup>
          </CommandList>
@@ -13,6 +13,10 @@ import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { createContactsFromCSVAction } from "@/modules/ee/contacts/actions";
 import { CsvTable } from "@/modules/ee/contacts/components/csv-table";
 import { UploadContactsAttributes } from "@/modules/ee/contacts/components/upload-contacts-attribute";
+import {
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { TContactCSVUploadResponse, ZContactCSVUploadResponse } from "@/modules/ee/contacts/types/contact";
 import { Alert } from "@/modules/ui/components/alert";
 import { Button } from "@/modules/ui/components/button";
@@ -257,7 +261,6 @@ export const UploadContactsCSVButton = ({

  useEffect(() => {
    const matches: Record<string, string> = {};
-    const invalidColumns: string[] = [];

    for (const columnName of csvColumns) {
      let matched = false;
@@ -270,25 +273,66 @@ export const UploadContactsCSVButton = ({
      }

      if (!matched) {
-        // This column will become a new attribute - validate it's a safe identifier
-        if (!isSafeIdentifier(columnName)) {
-          invalidColumns.push(columnName);
-        }
        matches[columnName] = columnName;
      }
    }

    setAttributeMap(matches);
+  }, [contactAttributeKeys, csvColumns]);
+
+  useEffect(() => {
+    if (!csvColumns.length || !csvResponse.length) {
+      return;
+    }
+
+    const invalidColumns: string[] = [];
+    const reservedColumns: string[] = [];
+
+    for (const columnName of csvColumns) {
+      const mappedAttribute = attributeMap[columnName];
+      if (!mappedAttribute) {
+        continue;
+      }
+
+      const mapsToExistingAttribute = contactAttributeKeys.some(
+        (attributeKey) => attributeKey.id === mappedAttribute
+      );
+
+      if (mapsToExistingAttribute) {
+        continue;
+      }
+
+      if (!isSafeIdentifier(mappedAttribute)) {
+        invalidColumns.push(columnName);
+        continue;
+      }
+
+      if (isReservedFutureDefaultAttributeKey(mappedAttribute)) {
+        reservedColumns.push(columnName);
+      }
+    }
+
+    const errorMessages: string[] = [];

-    // Show error for invalid column names that would become new attributes
    if (invalidColumns.length > 0) {
-      setError(
+      errorMessages.push(
        t("workspace.contacts.invalid_csv_column_names", {
          columns: invalidColumns.join(", "),
        })
      );
    }
-  }, [contactAttributeKeys, csvColumns, t]);
+
+    if (reservedColumns.length > 0) {
+      errorMessages.push(
+        t("workspace.contacts.invalid_csv_reserved_column_names", {
+          columns: reservedColumns.join(", "),
+          reservedKeys: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
+        })
+      );
+    }
+
+    setError(errorMessages.join("\n"));
+  }, [attributeMap, contactAttributeKeys, csvColumns, csvResponse.length, t]);

  useEffect(() => {
    if (error && errorContainerRef.current) {
@@ -304,7 +348,7 @@ export const UploadContactsCSVButton = ({
    const exampleData = [
      {
        email: "user1@example.com",
-        userId: "1001",
+        user_id: "1001",
        first_name: "John",
        last_name: "Doe",
        age: "28",
@@ -313,7 +357,7 @@ export const UploadContactsCSVButton = ({
      },
      {
        email: "user2@example.com",
-        userId: "1002",
+        user_id: "1002",
        first_name: "Jane",
        last_name: "Smith",
        age: "34",
@@ -322,7 +366,7 @@ export const UploadContactsCSVButton = ({
      },
      {
        email: "user3@example.com",
-        userId: "1003",
+        user_id: "1003",
        first_name: "Mark",
        last_name: "Jones",
        age: "45",
@@ -331,7 +375,7 @@ export const UploadContactsCSVButton = ({
      },
      {
        email: "user4@example.com",
-        userId: "1004",
+        user_id: "1004",
        first_name: "Emily",
        last_name: "Brown",
        age: "22",
@@ -340,7 +384,7 @@ export const UploadContactsCSVButton = ({
      },
      {
        email: "user5@example.com",
-        userId: "1005",
+        user_id: "1005",
        first_name: "David",
        last_name: "Wilson",
        age: "31",
@@ -0,0 +1,39 @@
+// Keep these keys reserved until the v5.1 migration moves default contact attributes
+// from camelCase to safe identifiers with backward compatibility aliases.
+// This is a preventive guardrail only (no schema/data migration in v5).
+export const RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS = [
+  "user_id",
+  "first_name",
+  "last_name",
+] as const;
+
+export const RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT =
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS.join(", ");
+
+export const RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE = `Key is reserved for the v5.1 safe-identifier default attribute migration. Reserved keys: ${RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT}.`;
+
+const RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEY_SET: ReadonlySet<string> = new Set(
+  RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS
+);
+
+const normalizeKey = (key: string): string => key.trim().toLowerCase();
+
+export const isReservedFutureDefaultAttributeKey = (key: string): boolean => {
+  return RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEY_SET.has(normalizeKey(key));
+};
+
+export const getReservedFutureDefaultAttributeKeys = (keys: string[]): string[] => {
+  const normalized = keys
+    .map(normalizeKey)
+    .filter((key) => key.length > 0 && isReservedFutureDefaultAttributeKey(key));
+
+  return Array.from(new Set(normalized));
+};
+
+export const getReservedFutureDefaultAttributeKeyIssue = (keys: string[]): string => {
+  const reservedKeys = getReservedFutureDefaultAttributeKeys(keys);
+
+  return `Reserved attribute key(s): ${reservedKeys.join(
+    ", "
+  )}. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.`;
+};
@@ -221,6 +221,30 @@ describe("updateAttributes", () => {
    );
  });

+  test("skips creating reserved future default attributes", async () => {
+    vi.mocked(getContactAttributeKeys).mockResolvedValue([attributeKeys[1]]);
+    vi.mocked(getContactAttributes).mockResolvedValue({ email: "jane@example.com" });
+    vi.mocked(hasEmailAttribute).mockResolvedValue(false);
+    vi.mocked(hasUserIdAttribute).mockResolvedValue(false);
+    vi.mocked(prisma.$transaction).mockResolvedValue(undefined);
+    vi.mocked(prisma.contactAttribute.deleteMany).mockResolvedValue({ count: 0 });
+
+    const result = await updateAttributes(contactId, userId, workspaceId, {
+      email: "john@example.com",
+      user_id: "future-safe",
+    });
+
+    expect(result.success).toBe(true);
+    expect(result.errors).toContainEqual({
+      code: "reserved_attribute_keys",
+      params: {
+        issue:
+          "Reserved attribute key(s): user_id. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.",
+      },
+    });
+    expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
+  });
+
  test("returns success with only email attribute", async () => {
    vi.mocked(getContactAttributeKeys).mockResolvedValue([attributeKeys[1]]); // email key
    vi.mocked(getContactAttributes).mockResolvedValue({ email: "existing@example.com" });
@@ -6,6 +6,10 @@ import { TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
 import { MAX_ATTRIBUTE_CLASSES_PER_ENVIRONMENT } from "@/lib/constants";
 import { formatSnakeCaseToTitleCase, isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { validateInputs } from "@/lib/utils/validate";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { prepareNewSDKAttributeForStorage } from "@/modules/ee/contacts/lib/attribute-storage";
 import { getContactAttributeKeys } from "@/modules/ee/contacts/lib/contact-attribute-keys";
 import {
@@ -38,6 +42,7 @@ const MESSAGE_TEMPLATES: Record<string, string> = {
  userid_already_exists: "The userId already exists for this environment and was not updated.",
  invalid_attribute_keys:
    "Skipped creating attribute(s) with invalid key(s): {keys}. Keys must only contain lowercase letters, numbers, and underscores, and must start with a letter.",
+  reserved_attribute_keys: "{issue}",
  attribute_limit_exceeded:
    "Could not create {count} new attribute(s) as it would exceed the maximum limit of {limit} attribute classes. Existing attributes were updated successfully.",
  new_attribute_created: "Created new attribute '{key}' with type '{dataType}'",
@@ -304,12 +309,15 @@ export const updateAttributes = async (
    // Validate that new attribute keys are safe identifiers
    const validNewAttributes: typeof newAttributes = [];
    const invalidKeys: string[] = [];
+    const reservedKeys: string[] = [];

    for (const attr of newAttributes) {
-      if (isSafeIdentifier(attr.key)) {
-        validNewAttributes.push(attr);
-      } else {
+      if (!isSafeIdentifier(attr.key)) {
        invalidKeys.push(attr.key);
+      } else if (isReservedFutureDefaultAttributeKey(attr.key)) {
+        reservedKeys.push(attr.key);
+      } else {
+        validNewAttributes.push(attr);
      }
    }

@@ -325,6 +333,17 @@ export const updateAttributes = async (
      );
    }

+    if (reservedKeys.length > 0) {
+      errors.push({
+        code: "reserved_attribute_keys",
+        params: { issue: getReservedFutureDefaultAttributeKeyIssue(reservedKeys) },
+      });
+      logger.warn(
+        { workspaceId, reservedKeys },
+        "SDK tried to create reserved future default attribute keys - skipping"
+      );
+    }
+
    if (validNewAttributes.length > 0) {
      const totalAttributeClassesLength = contactAttributeKeys.length + validNewAttributes.length;

@@ -147,6 +147,13 @@ describe("createContactAttributeKey", () => {
    await expect(createContactAttributeKey({ workspaceId, key: "email" })).rejects.toThrow(InvalidInputError);
  });

+  test("throws InvalidInputError when key is reserved for future defaults", async () => {
+    await expect(createContactAttributeKey({ workspaceId, key: "user_id" })).rejects.toThrow(
+      InvalidInputError
+    );
+    expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
+  });
+
  test("rethrows unknown prisma error codes", async () => {
    const err = Object.assign(new Error("Some prisma error"), { code: PrismaErrorType.RecordDoesNotExist });
    vi.mocked(prisma.contactAttributeKey.create).mockRejectedValue(err);
@@ -4,6 +4,10 @@ import { PrismaErrorType } from "@formbricks/database/types/error";
 import { TContactAttributeDataType, TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
 import { InvalidInputError, OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
 import { formatSnakeCaseToTitleCase } from "@/lib/utils/safe-identifier";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  isReservedFutureDefaultAttributeKey,
+} from "./attribute-key-policy";

 export const getContactAttributeKeys = reactCache(
  async (workspaceId: string): Promise<TContactAttributeKey[]> => {
@@ -31,6 +35,10 @@ export const createContactAttributeKey = async (data: {
  description?: string;
  dataType?: TContactAttributeDataType;
 }): Promise<TContactAttributeKey> => {
+  if (isReservedFutureDefaultAttributeKey(data.key)) {
+    throw new InvalidInputError(getReservedFutureDefaultAttributeKeyIssue([data.key]));
+  }
+
  try {
    const contactAttributeKey = await prisma.contactAttributeKey.create({
      data: {
@@ -537,6 +537,22 @@ describe("Contacts Lib", () => {
      ).rejects.toThrow(ValidationError);
    });

+    test("throws ValidationError when CSV creates reserved future default keys", async () => {
+      const reservedCsvData = [{ email: "john@example.com", user_id: "user-1" }];
+      const attributeMap = { email: "email", user_id: "user_id" };
+
+      vi.mocked(prisma.contact.findMany).mockResolvedValueOnce([]);
+      vi.mocked(prisma.contactAttribute.findMany).mockResolvedValue([]);
+      vi.mocked(prisma.contactAttributeKey.findMany).mockResolvedValueOnce([
+        { key: "email", id: "key-1", dataType: "string" },
+      ] as any);
+
+      await expect(
+        createContactsFromCSV(reservedCsvData as any, mockWorkspaceId, "skip", attributeMap)
+      ).rejects.toThrow(ValidationError);
+      expect(prisma.contactAttributeKey.createMany).not.toHaveBeenCalled();
+    });
+
    test("throws DatabaseError on Prisma error", async () => {
      const attributeMap = { email: "email" };
      const prismaError = new Prisma.PrismaClientKnownRequestError("DB Error", {
@@ -9,6 +9,10 @@ import { DatabaseError, ValidationError } from "@formbricks/types/errors";
 import { ITEMS_PER_PAGE } from "@/lib/constants";
 import { formatSnakeCaseToTitleCase, isSafeIdentifier } from "@/lib/utils/safe-identifier";
 import { validateInputs } from "@/lib/utils/validate";
+import {
+  getReservedFutureDefaultAttributeKeyIssue,
+  getReservedFutureDefaultAttributeKeys,
+} from "@/modules/ee/contacts/lib/attribute-key-policy";
 import { prepareAttributeColumnsForStorage } from "@/modules/ee/contacts/lib/attribute-storage";
 import { getContactSurveyLink } from "@/modules/ee/contacts/lib/contact-survey-link";
 import { detectAttributeDataType } from "@/modules/ee/contacts/lib/detect-attribute-type";
@@ -412,6 +416,11 @@ const createMissingAttributeKeys = async (
    );
  }

+  const reservedKeys = getReservedFutureDefaultAttributeKeys(missingKeys);
+  if (reservedKeys.length > 0) {
+    throw new ValidationError(getReservedFutureDefaultAttributeKeyIssue(reservedKeys));
+  }
+
  // Deduplicate by lowercase to avoid creating duplicates like "firstName" and "firstname"
  const uniqueMissingKeys = new Map<string, string>();
  for (const key of missingKeys) {
@@ -2,7 +2,7 @@

 import { z } from "zod";
 import { ZId } from "@formbricks/types/common";
-import { OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
+import { InvalidInputError, OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
 import { ZSegmentCreateInput, ZSegmentFilters, ZSegmentUpdateInput } from "@formbricks/types/segment";
 import { getOrganization } from "@/lib/organization/service";
 import { capturePostHogEvent } from "@/lib/posthog";
@@ -49,7 +49,7 @@ export const createSegmentAction = authenticatedActionClient.inputSchema(ZSegmen
      const surveyWorkspaceId = await getWorkspaceIdFromSurveyId(parsedInput.surveyId);

      if (surveyWorkspaceId !== parsedInput.workspaceId) {
-        throw new Error("Survey and segment are not in the same workspace");
+        throw new InvalidInputError("Survey and segment are not in the same workspace");
      }
    }

@@ -82,7 +82,7 @@ export const createSegmentAction = authenticatedActionClient.inputSchema(ZSegmen
    if (!parsedFilters.success) {
      const errMsg =
        parsedFilters.error.issues.find((issue) => issue.code === "custom")?.message || "Invalid filters";
-      throw new Error(errMsg);
+      throw new InvalidInputError(errMsg);
    }

    const segment = await createSegment(parsedInput);
@@ -139,7 +139,7 @@ export const updateSegmentAction = authenticatedActionClient.inputSchema(ZUpdate
      if (!parsedFilters.success) {
        const errMsg =
          parsedFilters.error.issues.find((issue) => issue.code === "custom")?.message || "Invalid filters";
-        throw new Error(errMsg);
+        throw new InvalidInputError(errMsg);
      }

      await checkForRecursiveSegmentFilter(parsedFilters.data, parsedInput.segmentId);
@@ -169,7 +169,7 @@ export const loadNewSegmentAction = authenticatedActionClient
    const segmentWorkspaceId = await getWorkspaceIdFromSegmentId(parsedInput.segmentId);

    if (surveyWorkspaceId !== segmentWorkspaceId) {
-      throw new Error("Segment and survey are not in the same workspace");
+      throw new InvalidInputError("Segment and survey are not in the same workspace");
    }

    const organizationId = await getOrganizationIdFromSurveyId(parsedInput.surveyId);
@@ -184,22 +184,33 @@ export function AddFilterModal({
    [t]
  );

+  const contactAttributeKeysForPicker = useMemo(() => {
+    // `userId` is represented by the person filter (fingerprint icon), so hide it from attribute entries.
+    return contactAttributeKeys.filter((attributeKey) => attributeKey.key !== "userId");
+  }, [contactAttributeKeys]);
+
  const contactAttributeKeysFiltered = useMemo(() => {
-    if (!contactAttributeKeys) return [];
+    if (!contactAttributeKeysForPicker) return [];

-    if (!searchValue) return contactAttributeKeys;
+    if (!searchValue) return contactAttributeKeysForPicker;

-    return contactAttributeKeys.filter((attributeKey) => {
+    return contactAttributeKeysForPicker.filter((attributeKey) => {
      const attributeValueToSeach = attributeKey.name ?? attributeKey.key;
      return attributeValueToSeach.toLowerCase().includes(searchValue.toLowerCase());
    });
-  }, [contactAttributeKeys, searchValue]);
+  }, [contactAttributeKeysForPicker, searchValue]);

  const contactAttributeFiltered = useMemo(() => {
-    const contactAttributes = [{ name: "userId" }];
+    const personIdentifiers = [{ id: "userId", label: t("common.user_id") }];

-    return contactAttributes.filter((ca) => ca.name.toLowerCase().includes(searchValue.toLowerCase()));
-  }, [searchValue]);
+    return personIdentifiers.filter((personIdentifier) => {
+      const query = searchValue.toLowerCase();
+      return (
+        personIdentifier.id.toLowerCase().includes(query) ||
+        personIdentifier.label.toLowerCase().includes(query)
+      );
+    });
+  }, [searchValue, t]);

  const segmentsFiltered = useMemo(() => {
    if (!segments) return [];
@@ -283,10 +294,10 @@ export function AddFilterModal({

            {filters.contactAttributeFiltered.map((personAttribute) => (
              <FilterButton
-                key={personAttribute.name}
-                data-testid={`filter-btn-person-${personAttribute.name}`}
+                key={personAttribute.id}
+                data-testid={`filter-btn-person-${personAttribute.id}`}
                icon={<FingerprintIcon className="h-4 w-4" />}
-                label={personAttribute.name}
+                label={personAttribute.label}
                onClick={() => {
                  handleAddFilter({
                    type: "person",
@@ -148,7 +148,6 @@ describe("License Core Logic", () => {
      saml: true,
      spamProtection: true,
      aiSmartTools: false,
-      aiDataAnalysis: false,
      auditLogs: true,
      accessControl: true,
      quotas: true,
@@ -286,7 +285,6 @@ describe("License Core Logic", () => {
            removeBranding: false,
            contacts: false,
            aiSmartTools: false,
-            aiDataAnalysis: false,
            saml: false,
            spamProtection: false,
            auditLogs: false,
@@ -310,7 +308,6 @@ describe("License Core Logic", () => {
          removeBranding: false,
          contacts: false,
          aiSmartTools: false,
-          aiDataAnalysis: false,
          saml: false,
          spamProtection: false,
          auditLogs: false,
@@ -343,7 +340,6 @@ describe("License Core Logic", () => {
        removeBranding: false,
        contacts: false,
        aiSmartTools: false,
-        aiDataAnalysis: false,
        saml: false,
        spamProtection: false,
        auditLogs: false,
@@ -537,7 +533,6 @@ describe("License Core Logic", () => {
          saml: true,
          spamProtection: true,
          aiSmartTools: false,
-          aiDataAnalysis: false,
          auditLogs: true,
          accessControl: true,
          quotas: true,
@@ -604,7 +599,6 @@ describe("License Core Logic", () => {
          saml: true,
          spamProtection: true,
          aiSmartTools: false,
-          aiDataAnalysis: false,
          auditLogs: true,
          accessControl: true,
          quotas: true,
@@ -662,7 +656,6 @@ describe("License Core Logic", () => {
          saml: true,
          spamProtection: true,
          aiSmartTools: false,
-          aiDataAnalysis: false,
          auditLogs: true,
          accessControl: true,
          quotas: true,
@@ -807,7 +800,6 @@ describe("License Core Logic", () => {
          saml: true,
          spamProtection: true,
          aiSmartTools: true,
-          aiDataAnalysis: true,
          auditLogs: true,
          accessControl: true,
          quotas: true,
@@ -836,7 +828,6 @@ describe("License Core Logic", () => {
        saml: true,
        spamProtection: true,
        aiSmartTools: true,
-        aiDataAnalysis: true,
        auditLogs: true,
        accessControl: true,
        quotas: true,
@@ -866,7 +857,6 @@ describe("License Core Logic", () => {
                  removeBranding: false,
                  contacts: false,
                  aiSmartTools: false,
-                  aiDataAnalysis: false,
                  saml: false,
                  spamProtection: false,
                  auditLogs: false,
@@ -940,7 +930,6 @@ describe("License Core Logic", () => {
              removeBranding: true,
              contacts: true,
              aiSmartTools: true,
-              aiDataAnalysis: true,
              saml: true,
              spamProtection: true,
              auditLogs: true,
@@ -1009,7 +998,6 @@ describe("License Core Logic", () => {
              removeBranding: true,
              contacts: true,
              aiSmartTools: true,
-              aiDataAnalysis: true,
              saml: true,
              spamProtection: true,
              auditLogs: true,
@@ -1051,7 +1039,6 @@ describe("License Core Logic", () => {
          saml: true,
          spamProtection: true,
          aiSmartTools: false,
-          aiDataAnalysis: false,
          auditLogs: true,
          accessControl: true,
          quotas: true,
@@ -1180,7 +1167,6 @@ describe("License Core Logic", () => {
        saml: true,
        spamProtection: true,
        aiSmartTools: false,
-        aiDataAnalysis: false,
        auditLogs: true,
        accessControl: true,
        quotas: true,
@@ -1304,7 +1290,6 @@ describe("License Core Logic", () => {
          removeBranding: true,
          contacts: true,
          aiSmartTools: true,
-          aiDataAnalysis: true,
          saml: true,
          spamProtection: true,
          auditLogs: true,
@@ -1360,7 +1345,6 @@ describe("License Core Logic", () => {
              removeBranding: true,
              contacts: true,
              aiSmartTools: true,
-              aiDataAnalysis: true,
              saml: true,
              spamProtection: true,
              auditLogs: true,
@@ -1416,7 +1400,6 @@ describe("License Core Logic", () => {
              removeBranding: true,
              contacts: true,
              aiSmartTools: true,
-              aiDataAnalysis: true,
              saml: true,
              spamProtection: true,
              auditLogs: true,
@@ -83,7 +83,6 @@ const LicenseFeaturesSchema = z.object({
  removeBranding: z.boolean(),
  contacts: z.boolean(),
  aiSmartTools: z.boolean(),
-  aiDataAnalysis: z.boolean(),
  saml: z.boolean(),
  spamProtection: z.boolean(),
  auditLogs: z.boolean(),
@@ -153,7 +152,6 @@ const DEFAULT_FEATURES: TEnterpriseLicenseFeatures = {
  removeBranding: false,
  contacts: false,
  aiSmartTools: false,
-  aiDataAnalysis: false,
  saml: false,
  spamProtection: false,
  auditLogs: false,
@@ -9,7 +9,6 @@ import { getEnterpriseLicense, getLicenseFeatures } from "./license";
 import {
  getAccessControlPermission,
  getBiggerUploadFileSizePermission,
-  getIsAIDataAnalysisEnabled,
  getIsAISmartToolsEnabled,
  getIsAuditLogsEnabled,
  getIsContactsEnabled,
@@ -60,7 +59,6 @@ const defaultFeatures: TEnterpriseLicenseFeatures = {
  saml: false,
  spamProtection: false,
  aiSmartTools: false,
-  aiDataAnalysis: false,
  auditLogs: false,
  accessControl: false,
  quotas: false,
@@ -216,57 +214,26 @@ describe("License Utils", () => {
      );
    });

-    test("uses cloud AI data analysis entitlement", async () => {
-      vi.mocked(constants).IS_FORMBRICKS_CLOUD = true;
-      vi.mocked(hasOrganizationEntitlementWithLicenseGuard).mockResolvedValueOnce(true);
-
-      const result = await getIsAIDataAnalysisEnabled("org_1");
+    test("returns self-hosted AI smart tools from license", async () => {
+      vi.mocked(constants).IS_FORMBRICKS_CLOUD = false;
+      vi.mocked(getEnterpriseLicense).mockResolvedValue({
+        ...defaultLicense,
+        features: { ...defaultFeatures, aiSmartTools: true },
+      });

+      const result = await getIsAISmartToolsEnabled("org_1");
      expect(result).toBe(true);
-      expect(hasOrganizationEntitlementWithLicenseGuard).toHaveBeenCalledWith(
-        "org_1",
-        CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.AI_DATA_ANALYSIS
-      );
    });

-    test("returns self-hosted AI features from license", async () => {
+    test("returns false for self-hosted AI smart tools when not enabled", async () => {
      vi.mocked(constants).IS_FORMBRICKS_CLOUD = false;
      vi.mocked(getEnterpriseLicense).mockResolvedValue({
        ...defaultLicense,
-        features: {
-          ...defaultFeatures,
-          aiSmartTools: true,
-          aiDataAnalysis: true,
-        },
+        features: { ...defaultFeatures, aiSmartTools: false },
      });

-      const [smartTools, dataAnalysis] = await Promise.all([
-        getIsAISmartToolsEnabled("org_1"),
-        getIsAIDataAnalysisEnabled("org_1"),
-      ]);
-
-      expect(smartTools).toBe(true);
-      expect(dataAnalysis).toBe(true);
-    });
-
-    test("returns false for self-hosted AI features when not enabled", async () => {
-      vi.mocked(constants).IS_FORMBRICKS_CLOUD = false;
-      vi.mocked(getEnterpriseLicense).mockResolvedValue({
-        ...defaultLicense,
-        features: {
-          ...defaultFeatures,
-          aiSmartTools: false,
-          aiDataAnalysis: false,
-        },
-      });
-
-      const [smartTools, dataAnalysis] = await Promise.all([
-        getIsAISmartToolsEnabled("org_1"),
-        getIsAIDataAnalysisEnabled("org_1"),
-      ]);
-
-      expect(smartTools).toBe(false);
-      expect(dataAnalysis).toBe(false);
+      const result = await getIsAISmartToolsEnabled("org_1");
+      expect(result).toBe(false);
    });

    test("uses cloud feedback record directories entitlement", async () => {
@@ -31,13 +31,7 @@ const getCustomPlanFeaturePermission = async (
  organizationId: string,
  featureKey: keyof Pick<
    TEnterpriseLicenseFeatures,
-    | "accessControl"
-    | "quotas"
-    | "contacts"
-    | "aiSmartTools"
-    | "aiDataAnalysis"
-    | "feedbackDirectories"
-    | "dashboards"
+    "accessControl" | "quotas" | "contacts" | "aiSmartTools" | "feedbackDirectories" | "dashboards"
  >
 ): Promise<boolean> => {
  if (IS_FORMBRICKS_CLOUD) {
@@ -46,7 +40,6 @@ const getCustomPlanFeaturePermission = async (
      quotas: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.QUOTA_MANAGEMENT,
      contacts: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.CONTACTS,
      aiSmartTools: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.AI_SMART_TOOLS,
-      aiDataAnalysis: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.AI_DATA_ANALYSIS,
      feedbackDirectories: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.FEEDBACK_DIRECTORIES,
      dashboards: CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.DASHBOARDS,
    };
@@ -126,10 +119,6 @@ export const getIsAISmartToolsEnabled = async (organizationId: string): Promise<
  return getCustomPlanFeaturePermission(organizationId, "aiSmartTools");
 };

-export const getIsAIDataAnalysisEnabled = async (organizationId: string): Promise<boolean> => {
-  return getCustomPlanFeaturePermission(organizationId, "aiDataAnalysis");
-};
-
 export const getIsAuditLogsEnabled = async (): Promise<boolean> => {
  if (!AUDIT_LOG_ENABLED) return false;
  return getSpecificFeatureFlag("auditLogs");
@@ -15,7 +15,6 @@ const ZEnterpriseLicenseFeatures = z.object({
  saml: z.boolean(),
  spamProtection: z.boolean(),
  aiSmartTools: z.boolean(),
-  aiDataAnalysis: z.boolean(),
  auditLogs: z.boolean(),
  accessControl: z.boolean(),
  quotas: z.boolean(),
@@ -28,7 +28,6 @@ describe("getFirstOrganization", () => {
      whitelabel: null,
      updatedAt: new Date(),
      isAISmartToolsEnabled: false,
-      isAIDataAnalysisEnabled: false,
    };
    vi.mocked(prisma.organization.findFirst).mockResolvedValue(org);
    const result = await getFirstOrganization();
@@ -46,7 +46,6 @@ export const mockOrganization: TOrganization = {
  id: "org-123",
  name: "Test Organization",
  isAISmartToolsEnabled: false,
-  isAIDataAnalysisEnabled: false,
  whitelabel: {
    logoUrl: null,
    faviconUrl: null,
@@ -145,26 +145,6 @@ describe("hasOrganizationEntitlementWithLicenseGuard", () => {
    expect(await hasOrganizationEntitlementWithLicenseGuard("org1", "ai-smart-tools")).toBe(false);
  });

-  test("returns true when license active and ai-data-analysis mapped feature enabled", async () => {
-    mockGetContext.mockResolvedValue({
-      ...baseContext,
-      features: ["ai-data-analysis"],
-      licenseStatus: "active",
-      licenseFeatures: { aiDataAnalysis: true } as TOrganizationEntitlementsContext["licenseFeatures"],
-    });
-    expect(await hasOrganizationEntitlementWithLicenseGuard("org1", "ai-data-analysis")).toBe(true);
-  });
-
-  test("returns false when license active but ai-data-analysis mapped feature disabled", async () => {
-    mockGetContext.mockResolvedValue({
-      ...baseContext,
-      features: ["ai-data-analysis"],
-      licenseStatus: "active",
-      licenseFeatures: { aiDataAnalysis: false } as TOrganizationEntitlementsContext["licenseFeatures"],
-    });
-    expect(await hasOrganizationEntitlementWithLicenseGuard("org1", "ai-data-analysis")).toBe(false);
-  });
-
  test("returns true when license active and feature has no license mapping", async () => {
    mockGetContext.mockResolvedValue({
      ...baseContext,
@@ -11,7 +11,6 @@ const LICENSE_GUARDED_ENTITLEMENTS: Partial<Record<string, keyof TEnterpriseLice
  "spam-protection": "spamProtection",
  contacts: "contacts",
  "ai-smart-tools": "aiSmartTools",
-  "ai-data-analysis": "aiDataAnalysis",
  "feedback-directories": "feedbackDirectories",
  dashboards: "dashboards",
 };
@@ -111,35 +111,6 @@ describe("getSelfHostedOrganizationEntitlementsContext", () => {
    const result = await getSelfHostedOrganizationEntitlementsContext("org1");

    expect(result.features).toContain("ai-smart-tools");
-    expect(result.features).not.toContain("ai-data-analysis");
-  });
-
-  test("maps aiDataAnalysis feature to ai-data-analysis entitlement", async () => {
-    mockGetOrg.mockResolvedValue({ id: "org1" } as any);
-    mockGetLicense.mockResolvedValue({
-      status: "active",
-      active: true,
-      features: { aiDataAnalysis: true },
-    } as any);
-
-    const result = await getSelfHostedOrganizationEntitlementsContext("org1");
-
-    expect(result.features).toContain("ai-data-analysis");
-    expect(result.features).not.toContain("ai-smart-tools");
-  });
-
-  test("maps both AI features when both are enabled", async () => {
-    mockGetOrg.mockResolvedValue({ id: "org1" } as any);
-    mockGetLicense.mockResolvedValue({
-      status: "active",
-      active: true,
-      features: { aiSmartTools: true, aiDataAnalysis: true },
-    } as any);
-
-    const result = await getSelfHostedOrganizationEntitlementsContext("org1");
-
-    expect(result.features).toContain("ai-smart-tools");
-    expect(result.features).toContain("ai-data-analysis");
  });

  test("maps feedbackDirectories feature to feedback-directories entitlement", async () => {
@@ -30,9 +30,6 @@ const mapLicenseFeaturesToEntitlements = (
  if (features.aiSmartTools) {
    entitlementKeys.push(CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.AI_SMART_TOOLS);
  }
-  if (features.aiDataAnalysis) {
-    entitlementKeys.push(CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.AI_DATA_ANALYSIS);
-  }
  if (features.feedbackDirectories) {
    entitlementKeys.push(CLOUD_STRIPE_FEATURE_LOOKUP_KEYS.FEEDBACK_DIRECTORIES);
  }
@@ -77,11 +77,9 @@ describe("getOrganizationAIKeys", () => {
  const mockOrgId = "org_test789";
  const mockOrganizationData: {
    isAISmartToolsEnabled: boolean;
-    isAIDataAnalysisEnabled: boolean;
    billing: TOrganizationBilling;
  } = {
    isAISmartToolsEnabled: true,
-    isAIDataAnalysisEnabled: true,
    billing: {
      stripeCustomerId: null,
      usageCycleAnchor: new Date(),
@@ -104,7 +102,6 @@ describe("getOrganizationAIKeys", () => {
      },
      select: {
        isAISmartToolsEnabled: true,
-        isAIDataAnalysisEnabled: true,
        billing: {
          select: {
            stripeCustomerId: true,
@@ -22,7 +22,6 @@ export const getOrganizationAIKeys = reactCache(
    organizationId: string
  ): Promise<{
    isAISmartToolsEnabled: boolean;
-    isAIDataAnalysisEnabled: boolean;
    billing: TOrganizationBilling;
  } | null> => {
    try {
@@ -32,7 +31,6 @@ export const getOrganizationAIKeys = reactCache(
        },
        select: {
          isAISmartToolsEnabled: true,
-          isAIDataAnalysisEnabled: true,
          billing: {
            select: {
              stripeCustomerId: true,
@@ -50,7 +48,6 @@ export const getOrganizationAIKeys = reactCache(

      return {
        isAISmartToolsEnabled: organization.isAISmartToolsEnabled,
-        isAIDataAnalysisEnabled: organization.isAIDataAnalysisEnabled,
        billing: {
          stripeCustomerId: organization.billing.stripeCustomerId,
          limits: organization.billing.limits as TOrganizationBilling["limits"],
@@ -31,7 +31,7 @@ export const SurveyCompletedMessage = async ({
      {(!workspace || workspace.linkSurveyBranding) && (
        <div>
          <Link href="https://formbricks.com">
-            <Image src={footerLogo as string} alt="Brand logo" className="mx-auto w-40" />
+            <Image src={footerLogo} alt="Brand logo" className="mx-auto w-40" />
          </Link>
        </div>
      )}
@@ -76,7 +76,7 @@ export const SurveyInactive = async ({
      {(!workspace || workspace.linkSurveyBranding) && (
        <div>
          <Link href="https://formbricks.com">
-            <Image src={footerLogo as string} alt="Brand logo" className="mx-auto w-40" />
+            <Image src={footerLogo} alt="Brand logo" className="mx-auto w-40" />
          </Link>
        </div>
      )}
@@ -123,11 +123,7 @@ export const SurveyLoadingAnimation = ({
          isReadyToTransition ? "animate-surveyExit" : "animate-surveyLoading"
        )}>
        {isBrandingEnabled && (
-          <Image
-            src={Logo as string}
-            alt="Logo"
-            className={cn("w-32 transition-all duration-1000 md:w-40")}
-          />
+          <Image src={Logo} alt="Logo" className={cn("w-32 transition-all duration-1000 md:w-40")} />
        )}
        <LoadingSpinner />
      </div>
@@ -145,7 +145,6 @@ export const ManageTranslationsModal = ({
      const errorMessages: Record<string, string> = {
        ai_features_not_enabled: t("workspace.surveys.edit.ai_features_not_enabled"),
        ai_smart_tools_disabled: t("workspace.surveys.edit.ai_smart_tools_disabled"),
-        ai_data_analysis_disabled: t("workspace.surveys.edit.ai_data_analysis_disabled"),
        ai_instance_not_configured: t("workspace.surveys.edit.ai_instance_not_configured"),
      };
      return errorMessages[errorCode] ?? errorCode;
@@ -46,7 +46,7 @@ const DropdownMenuSubContent: React.ComponentType<DropdownMenuPrimitive.Dropdown
    <DropdownMenuPrimitive.SubContent
      ref={ref as any}
      className={cn(
-        "animate-in slide-in-from-left-1 z-50 min-w-[8rem] overflow-hidden rounded-lg border border-slate-200 bg-white p-1 font-medium text-slate-600 shadow-sm hover:text-slate-700",
+        "z-50 min-w-[8rem] overflow-hidden rounded-lg border border-slate-200 bg-white p-1 font-medium text-slate-600 shadow-sm animate-in slide-in-from-left-1 hover:text-slate-700",
        className
      )}
      {...props}
@@ -67,7 +67,7 @@ const DropdownMenuContent: React.ComponentType<DropdownMenuPrimitive.DropdownMen
          ref={ref}
          sideOffset={sideOffset}
          className={cn(
-            "animate-in data-[side=right]:slide-in-from-left-2 data-[side=left]:slide-in-from-right-2 data-[side=bottom]:slide-in-from-top-2 data-[side=top]:slide-in-from-bottom-2 z-50 min-w-[8rem] overflow-hidden rounded-lg border border-slate-200 bg-white p-1 font-medium text-slate-700 shadow-sm",
+            "z-50 min-w-[8rem] overflow-hidden rounded-lg border border-slate-200 bg-white p-1 font-medium text-slate-700 shadow-sm animate-in data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
            className
          )}
          {...props}
@@ -19,7 +19,7 @@ const PopoverContent: React.ForwardRefExoticComponent<
      align={align}
      sideOffset={sideOffset}
      className={cn(
-        "animate-in data-[side=bottom]:slide-in-from-top-2 data-[side=top]:slide-in-from-bottom-2 data-[side=right]:slide-in-from-left-2 data-[side=left]:slide-in-from-right-2 z-50 w-72 rounded-md border border-slate-100 bg-white p-4 shadow-md outline-none",
+        "z-50 w-72 rounded-md border border-slate-100 bg-white p-4 shadow-md outline-none animate-in data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
        className
      )}
      {...props}
@@ -23,7 +23,7 @@ const TooltipContent: React.ComponentType<TooltipPrimitive.TooltipContentProps>
      ref={ref}
      sideOffset={sideOffset}
      className={cn(
-        "animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=top]:slide-in-from-bottom-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 z-50 overflow-hidden rounded-md border border-slate-100 bg-white px-3 py-1.5 text-sm text-slate-700 shadow-md",
+        "z-50 overflow-hidden rounded-md border border-slate-100 bg-white px-3 py-1.5 text-sm text-slate-700 shadow-md animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1",
        className
      )}
      {...props}
@@ -119,7 +119,6 @@ export const workspaceIdLayoutChecks = async (workspaceId: string) => {
            },
          },
          isAISmartToolsEnabled: true,
-          isAIDataAnalysisEnabled: true,
          whitelabel: true,
        },
      },
@@ -173,7 +172,6 @@ export const getWorkspaceWithRelations = reactCache(async (workspaceId: string,
              },
            },
            isAISmartToolsEnabled: true,
-            isAIDataAnalysisEnabled: true,
            whitelabel: true,
            memberships: {
              where: { userId },
@@ -223,7 +221,6 @@ export const getWorkspaceWithRelations = reactCache(async (workspaceId: string,
        name: data.organization.name,
        billing: data.organization.billing,
        isAISmartToolsEnabled: data.organization.isAISmartToolsEnabled,
-        isAIDataAnalysisEnabled: data.organization.isAIDataAnalysisEnabled,
        whitelabel: data.organization.whitelabel,
      },
      membership: data.organization.memberships[0] || null,
@@ -9,6 +9,8 @@ import { TWorkspace, TWorkspaceUpdateInput, ZWorkspaceUpdateInput } from "@formb
 import { validateInputs } from "@/lib/utils/validate";
 import { deleteFilesByWorkspaceId } from "@/modules/storage/service";

+// Keep v5 defaults aligned with current production camelCase keys.
+// Safe-identifier migration (with backwards compatibility) is intentionally deferred to v5.1.
 const DEFAULT_CONTACT_ATTRIBUTE_KEYS: Prisma.ContactAttributeKeyCreateWithoutWorkspaceInput[] = [
  {
    key: "userId",
@@ -151,7 +153,7 @@ export const deleteWorkspace = async (workspaceId: string): Promise<TWorkspace>
    if (workspace) {
      const s3Result = await deleteFilesByWorkspaceId(workspaceId, []);

-      if (!s3Result.ok) {
+      if (!s3Result.ok && "error" in s3Result) {
        // fail silently because we don't want to throw an error if the files are not deleted
        logger.error(s3Result.error, "Error deleting S3 files");
      }
@@ -10,6 +10,8 @@
    "build": "cross-env NODE_OPTIONS=--max-old-space-size=8192 next build",
    "build:dev": "pnpm run build",
    "start": "next start",
+    "typecheck": "pnpm typegen && tsc --noEmit --project tsconfig.typecheck.json",
+    "typegen": "cross-env DATABASE_URL=postgresql://postgres:postgres@localhost:5432/formbricks ENCRYPTION_KEY=example REDIS_URL=redis://localhost:6379 next typegen",
    "lint": "eslint . --fix --ext .ts,.js,.tsx,.jsx",
    "test": "dotenv -e ../../.env -- vitest run",
    "test:coverage": "dotenv -e ../../.env -- vitest run --coverage",
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Matti Nannt	af51414b03	fix: remove isAIDataAnalysisEnabled (ENG-1039) (#8109 ) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-21 15:54:36 +00:00
Matti Nannt	a9e39dd4ab	fix: validate displayId ownership on response creation (ENG-825) (#8046 ) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-21 13:11:19 +00:00
Johannes	c8b0bb2225	fix: reserve future contact keys and improve segment errors (ENG-1037, ENG-994) (#8101 ) Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-21 11:41:23 +00:00
Dhruwang Jariwala	f6aa27ba8c	fix: chart date range type switch + presets include today (ENG-1034, ENG-1035) (#8096 ) Co-authored-by: pandeymangg <anshuman.pandey9999@gmail.com>	2026-05-21 11:05:10 +00:00
Johannes	82765f7dd7	fix: allow enterprise oauth display names (#8099 ) Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Johannes <jobenjada@users.noreply.github.com>	2026-05-21 10:59:35 +00:00
Dhruwang Jariwala	d5bbafcf90	fix: remount AI translation editor on value change, not disabled transition (#8084 )	2026-05-21 10:09:57 +00:00
Anshuman Pandey	db87a588b5	fix: adds close button on response error screen (#8093 )	2026-05-21 09:26:47 +00:00
Javi Aguilar	c834587c8d	chore: add typecheck command and fix format and type issues (#7999 )	2026-05-21 08:13:46 +00:00
Anshuman Pandey	ef18aacfa2	fix: fixes responseId client api issue with legacy environmentId (#8079 )	2026-05-21 06:15:27 +00:00
Dhruwang Jariwala	025a766c57	fix: show copy icon on legacy environmentId, reintroduce duplicate survey action (ENG-978, ENG-987) (#8061 ) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 05:21:33 +00:00
Bhagya Amarasinghe	f476db3128	fix: update Helm chart default image tag (#8072 )	2026-05-21 05:11:20 +00:00
Bhagya Amarasinghe	37023275ca	fix: require Cube API secret in compose (#8071 )	2026-05-21 05:07:57 +00:00
Bhagya Amarasinghe	9266f64588	fix: harden Helm env value rendering (#8070 )	2026-05-21 05:01:10 +00:00
Dhruwang Jariwala	032066194b	fix: render scheduled-plan-change description placeholders correctly (#8064 ) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 04:58:39 +00:00
Dhruwang Jariwala	0bef023302	fix: gate AI chart generation on smartTools, not dataAnalysis (ENG-1001) (#8060 ) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 04:53:42 +00:00
Dhruwang Jariwala	aa83ee336c	fix: route Manage Teams and integration OAuth callbacks to settings (ENG-988) (#8059 ) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-21 04:51:47 +00:00
Anshuman Pandey	4357f497a1	fix: sanitize CSV/XLSX exports against formula injection (#8045 )	2026-05-21 04:49:50 +00:00
Bhagya Amarasinghe	526c17af23	fix: wire Cube API secret into Helm defaults (#8068 )	2026-05-21 04:47:15 +00:00
Matti Nannt	a0ddadebad	fix: scope display contact lookup to workspace (ENG-818) (#8048 ) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-21 04:41:48 +00:00
Bhagya Amarasinghe	bc0d04f5e8	fix: staging AI chart Cube schema (#8057 )	2026-05-20 14:22:23 +00:00
Anshuman Pandey	f0967c2e23	fix: preserve legacy SDK shape with placeholder segment data (#8067 )	2026-05-20 16:21:13 +02:00
Johannes	13c9677edd	fix: correct settings sidebar back navigation behavior (#8052 ) Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Johannes <jobenjada@users.noreply.github.com>	2026-05-20 11:18:12 +00:00
Johannes	c0bf2ab7cc	fix: enforce billing-only settings access (#8053 ) Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Johannes <jobenjada@users.noreply.github.com>	2026-05-20 11:14:43 +00:00
Johannes	65d0f4ac0e	fix: add CSAT and CES summary filter icons (#8056 ) Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Johannes <jobenjada@users.noreply.github.com>	2026-05-20 09:44:10 +00:00
Matti Nannt	655c0b5e47	fix: strip client-provided timestamps in client response API (ENG-828) (#8047 ) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-20 06:53:42 +00:00