Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description 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 valid...

Best for

Engineering automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.code, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.memorybufferwindow

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title: Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini
Workflow name: Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini

Description

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. 🎨🤖📋

What This Template Does

Step 1: Trigger manually and input your Figma file ID. 🎯
Step 2: Fetches the full Figma design data (layers, frames, components) via API. 🧩
Step 3: Sends structured design JSON to GPT-4o-mini for intelligent test case generation. 🧠
Step 4: AI analyzes UI components, user flows, and accessibility aspects to generate 5–10 test cases. ✅
Step 5: Parses and formats results into a clean structure.
Step 6: Exports test cases directly to Google Sheets for QA tracking and reporting. 📊

Key Benefits

✅ Saves 2–3 hours per design by automating test case creation ✅ Ensures consistent, comprehensive QA documentation ✅ Uses AI to detect UX, accessibility, and functional coverage gaps ✅ Centralizes output in Google Sheets for easy collaboration

Features

Figma API integration for design parsing
GPT-4o-mini model for structured test generation
Automated Google Sheets export
Dynamic file ID and output schema mapping
Built-in error handling for large design files

Requirements

Figma Personal Access Token
OpenAI API key (GPT-4o-mini)
Google Sheets OAuth2 credentials
Target Audience
QA and Test Automation Engineers
Product & Design Teams
Startups and Agencies validating Figma prototypes

Setup Instructions

Connect your Figma token as HTTP Header Auth (X-Figma-Token).
Add your OpenAI API key in n8n credentials (model: gpt-4o-mini).
Configure Google Sheets OAuth2 and select your sheet.
Input Figma file ID from the design URL.
Run once manually, verify output, then enable for regular use.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Workflow Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Setup Guide

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Figma API Notes

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - AI Processing Details

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Code Logic Details

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sheets Configuration

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Manual Start

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 8 - Fetch Figma Design Data

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 9 - OpenAI GPT-4o-mini

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 10 - Parse and Format Test Cases

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Export to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 12 - JSON Output Schema

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 13 - Conversation Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 14 - AI Test Case Generator

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

3. Summary Table

Workflow	Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini
Complexity	intermediate
Nodes	14
Categories	Engineering, AI Summarization
Author	Rahul Joshi
Published	30 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10326/10326.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI Summarization workflows

Frequently asked questions

What does Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.

Rahul Joshi

269 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.manualtrigger n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.code n8n-nodes-base.googlesheets @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.memorybufferwindow

Complexity

intermediate

Published 30 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/10326/10326.json

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Generate QA test cases from Figma designs to Google Sheets using GPT-4o-mini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Description

What This Template Does

Key Benefits

Features

Requirements

Setup Instructions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Workflow Overview

Block 2 - Setup Guide

Block 3 - Figma API Notes

Block 4 - AI Processing Details

Block 5 - Code Logic Details

Block 6 - Sheets Configuration

Block 7 - Manual Start

Block 8 - Fetch Figma Design Data

Block 9 - OpenAI GPT-4o-mini

Block 10 - Parse and Format Test Cases

Block 11 - Export to Google Sheets

Block 12 - JSON Output Schema

Block 13 - Conversation Memory

Block 14 - AI Test Case Generator

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions