Workflow automation · Product and support teams
AI Customer Feedback Analysis System
A system that collects feedback from reviews, surveys and support, tags it by theme and sentiment, and reports what customers keep asking for.
Stack
- n8n
- Google Sheets
- OpenAI
- 01 · n8nReviews, surveys, tickets
- 02 · OpenAITag theme and sentiment
- 03 · Google SheetsCentral log
- 04 · n8nWeekly summary
The problem
Feedback lived in five places. Someone read it when they had time, and decisions were made on whichever complaint was loudest that week.
Discovery
Before building, I mapped:
- Q1Every place feedback arrives today
- Q2The themes the team already suspects, as a starting taxonomy
- Q3Who needs to see what, and how often
The idea
Pull everything into one sheet automatically, let AI tag each comment against an agreed list of themes, and send a short weekly summary with real quotes.
How it runs
- Step 1
n8n collects new feedback from each source on a schedule.
- Step 2
OpenAI tags theme, sentiment and urgency, and pulls out a representative quote.
- Step 3
Everything is written to one Google Sheet with filters and charts.
- Step 4
Every Monday the team receives the top themes and what changed since last week.
What the client got
- n8n workflows
- Theme taxonomy and prompt
- Google Sheets dashboard
- Weekly report template
Next build
Next build · Workflow automationAI Customer Support Ticketing WorkflowHand me the busywork.
An automation, a GoHighLevel setup, an AI agent, a connected system or a batch of AI ads. Tell me what slows you down and I will tell you how I would fix it.