Automate UX research planning with Gemini AI, Google Docs, and human feedback

by Zeinabsadat Mousavi Amin · 894 views · created 2025-10-22 · Document Extraction, Multimodal AI

What this workflow does

This AI workflow has 22 nodes and runs when someone submits an n8n form (“Provide Context for Writing a Research Plan”). Along the way it connects Google Gemini Chat Model, Gmail and Google Docs. It also calls script.google.com over HTTP.

How it runs

Trigger: When someone submits an n8n form (“Provide Context for Writing a Research Plan”).

1. AI Agent: runs an AI agent, with model: Gemini
2. Separate Questions (Code): runs custom JavaScript code
3. Question Approval (Gmail): send and wait for a reply
4. Combine Questions (Code): runs custom JavaScript code
5. AI Agent: runs an AI agent, with model: Gemini Google
6. Edit Approval (Gmail): send and wait for a reply
7. AI Agent: runs an AI agent, with model: Google Gemini Chat Model
8. AI Agent: runs an AI agent, with model: Google Gemini Chat
9. Create a Report (Google Docs): uses Google Docs
10. AI Agent: runs an AI agent, with model: Gemini ChatAssis

…plus 5 more steps. See the full node list below.

Services it uses

Google Gemini Chat ModelGmailGoogle Docs

HTTP calls to: script.google.com

Before you upgrade to n8n 3.0

Nodes used (7)

• n8n Form Triggern8n-nodes-base.formTrigger
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• AI Agent@n8n/n8n-nodes-langchain.agent
• Coden8n-nodes-base.code
• Gmailn8n-nodes-base.gmail
• HTTP Requestn8n-nodes-base.httpRequest
• Google Docsn8n-nodes-base.googleDocs

From the author

This workflow automates the entire UX research planning process — from gathering context to delivering a ready-to-share Google Doc report. Built for UX researchers and designers, it combines AI-powered generation with human feedback loops to make research…

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