Automate customer feedback classification with AI, Google Sheets, and Slack alerts

Customer Feedback Loop Analyzer (n8n Automated Workflow)

This workflow automates the process of collecting customer feedback from forms and emails, analyzes it using AI, classifies it by category and sentiment, logs it into Google Sheets, and routes it to the right communication channels like Slack or email. It closes the feedback loop efficiently by ensuring every review is categorized, tracked, and acted upon.

Who’s it for

Product managers wanting structured customer insights Customer support teams needing fast issue routing Engineering teams who want to be alerted to bugs quickly Growth & UX teams tracking feature requests and usability feedback Any business managing customer feedback at scale

How it works

1. Form submission trigger captures reviews submitted via customer review forms. 2. Gmail trigger listens for new feedback emails. 3. Extract details (Code node) parses sender details and extracts the actual review text. 4. AI node (LLM) summarizes the feedback, determines sentiment, and classifies it (Bug, Feature Request, UX Issue, Other). 5. Google Gemini (optional) provides advanced classification/summarization. 6. Google Sheets node logs all structured feedback for historical tracking. 7. Switch node routes feedback into separate flows by category. 8. Slack node instantly notifies the team of critical feedback (e.g., Bugs). 9. Email node sends reports to relevant stakeholders (e.g., Feature Requests to product managers).

How to set up

1. Import the workflow JSON into your n8n instance. 2. Connect credentials for: Gmail (for receiving/sending feedback) Google Sheets (for logging reviews) Slack (for real-time team alerts) 3. Configure your Google Sheet (columns for Date, Reviewer, Sentiment, Category, Feedback). 4. Adjust the AI node prompt to reflect your team’s preferred categories. 5. Set Slack channels and email recipients for notifications. 6. Activate workflow.