Turn Weekly Customer Complaints into Fix Drafts
Connect a Dot to your feedback sources and give it a standing instruction to cluster repeated complaints weekly. It attaches evidence, impact, and a fix proposal to each cluster — but nothing ships, merges, or publishes without your review.
Official sources: 2 · Hands-on test not recorded
What you will make
A feedback-processing Dot that turns repeated customer complaints into a weekly structured cluster report, each cluster carrying evidence, impact, and a fix proposal — with nothing published or merged without human review.
Illustrative result
An indie developer connects a Dot to his app's store reviews and support inbox with the standing instruction: 'every Friday, cluster the week's repeated complaints by theme and attach a proposed fix to the biggest one.' By week three, 34 complaints about broken notifications are clustered together, and the Dot submits a small PR draft suggesting the token-refresh logic is at fault. The developer reads the diff, tests it, and merges it himself.
What you need
- A ChatGPT Pro or Business Premium plan with Dot access (paid; first Dot included [verify])
- A feedback source you can connect: reviews, a support inbox, Slack, or similar (4000+ apps connectable [verify])
- One person who can review code drafts
Follow the steps
- 1Connect your feedback sources
- 2Write the clustering instruction
- 3Run two weekly pilot reports
- 4Review the first real report
- 5Refine the clustering rules
- 6Add the fix-drafting rule