Ai Customer Feedback Sentiment Analysis

Who is this for?

Support leads sorting 12 new feedback forms need this OpenAI sentiment-analysis workflow that classifies the moment a form arrives. This setup is pre-tested for first-try import, keeps the Sheets audit log and Slack alerts wired, and narrows oversight to a 10-minute sheet review.

What problem does this solve?

Opening each n8n Form response, comparing notes in Google Sheets, and flagging bugs in Slack takes ~5 min per response by hand. The moment a form arrives this workflow runs Classify feedback with OpenAI, merges sentiment, and appends via Add customer feedback to Google Sheets. You just scan the sheet.

What this workflow does

1. Add customer feedback to Google Sheets (Google Sheets)
2. Classify feedback with OpenAI (OpenAI)
3. Google Sheets - Audit Log (Google Sheets)
4. Slack - Error Alerts (Slack)
- Includes Daniel Grey pack: Slack - Error Alerts, Google Sheets - Audit Log, Wait - Rate Limit, Set - Audit Trail (all wired).

How it works

A submitted n8n form kicks it off → Classify feedback with OpenAI, Merge sentiment with form content, Add customer feedback to Google Sheets.

Setup

1. Open danielgrey.shop/app/templates/dg-0044 → Copy JSON → n8n → Import from Clipboard (or Push to n8n)
2. Connect credentials: Google Sheets, OpenAI, Slack
3. Copy the production URL into your sending app, fire one test, then activate.

Requirements

- n8n 1.50.0 or later
- Credentials for Google Sheets, OpenAI, Slack
- One-time $79 — yours forever, Pro unlocks it too.

Customising

- Tune the classification prompt in Classify feedback with OpenAI for your praise/bug/request labels.
- Point Add customer feedback to Google Sheets at your live feedback tab.