Reviews · Workflow template · source Feb 22, 2026
Review Friction and Return Risk Report with an n8n Template
Turn review complaints into a ranked list of delivery, return, sizing and defect problems
Template only, with no reported results.
Per source A published workflow template, not a reported result.
Copy-paste prompt
Here are the last 200 reviews of my product: [paste]. Tag every complaint as delivery, packaging, return, sizing, defect, expectation mismatch or other. Count each tag, give 2 example quotes, and say which ones a listing change could fix (and how) versus which need a product or packaging change.
The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].
What they did
An n8n template by Yaron Been collects Amazon reviews with Bright Data's scraper and has an AI model (through OpenRouter) look for friction signals: delivery issues, return complaints, sizing problems and defects. It classifies each by likely revenue impact, scores severity, and logs a conversion-fix list and a delivery and returns risk report to Google Sheets.
How it went
Template only, with no reported results.
We only report what the source says. Results are self-reported unless noted.
Worth knowing
This is a published workflow template, not a reported result: nobody in the source says what it did for their sales. Read the template's setup steps and test it on one account before you rely on it. The 'revenue impact' is the model's estimate, not your sales data. The author earns a small commission on Bright Data sign-ups through his link.