Rahul Joshi This workflow corresponds to n8n.io template #10326 — we link there as the canonical source.
This workflow follows the Agent → Google Sheets recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "gILrUPCbGHiFohxP",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Generate QA Test Cases from Figma Designs to Google Sheets using GPT-4",
"tags": [],
"nodes": [
{
"id": "dc0b7549-a744-4aa6-9d81-6570eae6acdb",
"name": "Workflow Overview",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1616,
-320
],
"parameters": {
"color": 4,
"width": 400,
"height": 540,
"content": "## \ud83c\udfa8 Figma to Test Cases Generator\n\nThis workflow automates QA test case generation from Figma designs using AI.\n\n**What it does:**\n- Fetches Figma file data via API\n- Analyzes UI elements and design structure\n- Generates 5-10 comprehensive test cases using OpenAI\n- Exports test cases to Google Sheets\n\n**Use Case:**\n- QA teams needing automated test case generation\n- Product teams documenting user flows\n- Design handoff with test coverage\n\n**Requirements:**\n- Figma Personal Access Token\n- OpenAI API key (gpt-4o-mini)\n- Google Sheets OAuth2 connection\n\n**Time Saved:** ~2-3 hours per design review"
},
"typeVersion": 1
},
{
"id": "ef9db14b-34a0-497f-82c4-e0eb0d0fc498",
"name": "Setup Guide",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-560
],
"parameters": {
"color": 2,
"width": 360,
"height": 500,
"content": "## \u2699\ufe0f Setup Instructions\n\n**Step 1: Get Figma Token**\n- Go to Figma \u2192 Settings \u2192 Personal Access Tokens\n- Create new token with read access\n- Save in n8n Credentials (Header Auth)\n- Header name: `X-Figma-Token`\n\n**Step 2: Configure OpenAI**\n- Add OpenAI API key in Credentials\n- Model: gpt-4o-mini (cost-effective)\n- Est. cost: $0.02-0.05 per run\n\n**Step 3: Connect Google Sheets**\n- Create sheet with columns: `title`, `steps`\n- Authorize Google Sheets OAuth2\n- Share sheet with service account\n\n**Step 4: Input Figma File ID**\n- Get file ID from Figma URL\n- Format: `figma.com/file/{FILE_ID}/...`\n- Pass as input to workflow"
},
"typeVersion": 1
},
{
"id": "39541f14-cfd3-4c11-89b9-8e6aedc363fc",
"name": "Figma API Notes",
"type": "n8n-nodes-base.stickyNote",
"position": [
-816,
-480
],
"parameters": {
"color": 2,
"width": 300,
"height": 428,
"content": "## \ud83d\udccc Figma API Configuration\n\n**What it fetches:**\n- Complete file structure\n- Canvas and frame data\n- Component properties\n- Text and layer info\n\n**API Parameters:**\n- `depth=1`: Single level traversal\n- `geometry=paths`: Include vector data\n\n**Important:**\n- Replace file ID with dynamic input\n- Use: `={{$json.figmaFileId}}`\n- Timeout: 30s for large files\n- Rate limit: 500 requests/min"
},
"typeVersion": 1
},
{
"id": "b24caffc-87cf-458e-aecb-bf00ca9309be",
"name": "AI Processing Details",
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
-448
],
"parameters": {
"color": 2,
"width": 280,
"height": 368,
"content": "## \ud83e\udd16 AI Test Generation\n\n**Analysis Includes:**\n- UI elements and interactions\n- User flow identification\n- Edge case scenarios\n- Accessibility checks (WCAG 2.1)\n- Responsive design validation\n\n**Output Format:**\nStructured JSON with test cases\n\n**Temperature:** 0.7 for creative variety\n\n**Token Usage:** ~2000-4000 per run"
},
"typeVersion": 1
},
{
"id": "be300909-97ca-4d0c-b7f5-077cddc16f8f",
"name": "Code Logic Details",
"type": "n8n-nodes-base.stickyNote",
"position": [
-144,
96
],
"parameters": {
"color": 2,
"width": 280,
"height": 260,
"content": "## \ud83d\udcca Data Extraction\n\n**Processes AI output:**\n- Extracts test_cases array\n- Maps to Google Sheets format\n- Handles multiple test cases\n\n**Output fields:**\n- title: Test case name\n- steps: Step-by-step instructions\n\n**Error handling:**\nReturns empty array if parsing fails"
},
"typeVersion": 1
},
{
"id": "8aee5f1a-9b28-4951-a8c1-3438119266e9",
"name": "Sheets Configuration",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-560
],
"parameters": {
"color": 2,
"width": 300,
"height": 476,
"content": "## \ud83d\udcdd Google Sheets Export\n\n**Configuration:**\n- Operation: Append (adds new rows)\n- Auto-map columns enabled\n- Columns: `title`, `steps`\n\n**Sheet Structure:**\n```\n| title | steps |\n|--------------------|-----------------------|\n| Test login flow | Step 1: Click... |\n| Validate form | Step 1: Enter... |\n```\n\n**Before sharing:**\n- Remove document ID\n- Use dynamic sheet reference\n- Clear cached result data"
},
"typeVersion": 1
},
{
"id": "f2dee891-a0a2-4426-9f3e-b818a11b1e40",
"name": "Manual Start",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-960,
-48
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a5cb1f68-d567-46f3-8aea-b462cede73c9",
"name": "Fetch Figma Design Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
-736,
-48
],
"parameters": {
"url": "=https://api.figma.com/v1/files/{{ $json.figmaFileId }}",
"options": {
"timeout": 30000,
"response": {
"response": {
"neverError": true,
"responseFormat": "json"
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "depth",
"value": "1"
},
{
"name": "geometry",
"value": "paths"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "96587a6a-4e70-4c6d-a9a8-a1da7e87e7a4",
"name": "OpenAI GPT-4o-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-512,
192
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "gpt-4o-mini"
},
"options": {
"maxTokens": 4000,
"temperature": 0.7
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "1b3d7d55-f24f-4d95-a098-7128696e7e87",
"name": "Parse and Format Test Cases",
"type": "n8n-nodes-base.code",
"position": [
-48,
-48
],
"parameters": {
"jsCode": "// Extract test cases from AI agent output\nconst aiOutput = $json.output;\n\n// Safely extract test cases array\nconst testCases = aiOutput?.test_cases || [];\n\n// Validate and map to Google Sheets format\nif (!Array.isArray(testCases) || testCases.length === 0) {\n console.log('No test cases generated');\n return [];\n}\n\n// Transform to structured output\nreturn testCases.map(tc => ({\n json: {\n title: tc.title || 'Untitled Test Case',\n steps: tc.steps || 'No steps provided'\n }\n}));"
},
"typeVersion": 2
},
{
"id": "1efaa8c3-a934-4702-9783-7da965178a27",
"name": "Export to Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
176,
-48
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "steps",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "steps",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": []
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "Test Cases"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Configure Figma File ID').item.json.googleSheetId }}"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7
},
{
"id": "f3e20439-3b50-414a-a67f-2dd3d0324365",
"name": "JSON Output Schema",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-256,
192
],
"parameters": {
"jsonSchemaExample": "{\n \"test_cases\": [\n {\n \"title\": \"Test case title\",\n \"steps\": \"Step 1: Action\\nStep 2: Verification\\nStep 3: Expected result\"\n }\n ]\n}"
},
"typeVersion": 1.3
},
{
"id": "52e4bce6-4656-4658-833a-1d461fb743e5",
"name": "Conversation Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-384,
192
],
"parameters": {
"sessionKey": "=\"figma_test_generation_\" & $('Configure Figma File ID').item.json.figmaFileId",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "0a245b2b-7d42-4dc4-9393-f07af71321f6",
"name": "AI Test Case Generator",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-464,
-48
],
"parameters": {
"text": "=Here is the Figma design data:\n\n{{ JSON.stringify($json, null, 2) }}\n\n**Generate 5-10 comprehensive test cases covering:**\n\n1. **UI Elements & Interactions**\n - Button states and actions\n - Form field validations\n - Navigation flows\n\n2. **User Flows**\n - Primary user journeys\n - Alternative paths\n - Error scenarios\n\n3. **Edge Cases**\n - Empty states\n - Maximum character limits\n - Invalid inputs\n\n4. **Accessibility**\n - Keyboard navigation\n - Screen reader compatibility\n - Color contrast (WCAG 2.1 AA)\n\n5. **Responsive Design**\n - Mobile viewport behavior\n - Tablet adjustments\n - Desktop optimization\n\n**Return ONLY valid JSON in this exact structure:**\n\n```json\n{\n \"test_cases\": [\n {\n \"title\": \"Descriptive test case title\",\n \"steps\": \"Step 1: Detailed action\\nStep 2: Expected behavior\\nStep 3: Verification criteria\"\n }\n ]\n}\n```\n\n**Important:** Ensure each test case has clear, actionable steps.",
"options": {
"systemMessage": "You are an expert QA engineer and UX analyst specializing in test case generation.\n\n**Your expertise includes:**\n- Analyzing Figma design files and extracting testable elements\n- Creating comprehensive test scenarios for web and mobile applications\n- Identifying edge cases and accessibility requirements\n- Following industry-standard QA practices (ISTQB, Agile QA)\n\n**Your task:**\nReceive Figma file data as JSON and generate detailed, actionable test cases that cover:\n- Functional requirements\n- User experience flows\n- Accessibility compliance (WCAG 2.1)\n- Cross-browser/device compatibility\n- Edge cases and error handling\n\n**Output requirements:**\n- Return ONLY valid JSON matching the provided schema\n- Each test case must have a clear title and numbered steps\n- Steps should be specific, measurable, and executable\n- Include expected results in each step\n- Prioritize critical user paths first"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "00a00b80-93a1-44c8-be7b-3cd1f78686fb",
"connections": {
"Manual Start": {
"main": [
[
{
"node": "Fetch Figma Design Data",
"type": "main",
"index": 0
}
]
]
},
"JSON Output Schema": {
"ai_outputParser": [
[
{
"node": "AI Test Case Generator",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"OpenAI GPT-4o-mini": {
"ai_languageModel": [
[
{
"node": "AI Test Case Generator",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Conversation Memory": {
"ai_memory": [
[
{
"node": "AI Test Case Generator",
"type": "ai_memory",
"index": 0
}
]
]
},
"AI Test Case Generator": {
"main": [
[
{
"node": "Parse and Format Test Cases",
"type": "main",
"index": 0
}
]
]
},
"Fetch Figma Design Data": {
"main": [
[
{
"node": "AI Test Case Generator",
"type": "main",
"index": 0
}
]
]
},
"Parse and Format Test Cases": {
"main": [
[
{
"node": "Export to Google Sheets",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleSheetsOAuth2ApihttpHeaderAuthopenAiApi
Pro
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About this workflow
Transform Figma design files into detailed QA test cases with AI-driven analysis and structured export to Google Sheets. This workflow helps QA and product teams streamline design validation, test coverage, and documentation — all without manual effort. 🎨🤖📋 Step 1: Trigger…
Source: https://n8n.io/workflows/10326/ — original creator credit. Request a take-down →
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