Effortlessly manage and analyze product feedback with Feedback Brief. Extract issues, categorize feedback, and prioritize improvements automatically.
Actionable insights from user feedback
Effortlessly manage and analyze product feedback with Feedback Brief. Extract issues, categorize feedback, and prioritize improvements automatically.
Can i connect this with e commerce or other user based website so as to check out the reviews and feedback easily ?
Originally started out as side project to learn programming and solving a problem I had in my previous role. The goal is to build a smart feedback logging tool that lets you review the actual issues rather than going through all the user feedback again. It was pain rereading all those feedback and I wanted to change that. AI made it possible. Any feedback is appreciated!
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.