Ditch the surveys. Uncover real customer frustrations & pain points, automatically. Let users request features & highlight bugs to your own AI agent. Receive key insights as bite-size summaries.
Your new AI user researcher. Gather feedback, on autopilot.
Ditch the surveys. Uncover real customer frustrations & pain points, automatically. Let users request features & highlight bugs to your own AI agent. Receive key insights as bite-size summaries.
Hey Product Hunt π One frustration all my projects have in common: getting detailed, insightful feedback from my users. π‘π¬ β I often feel the high-level feedback I get from App Store reviews or ad-hoc user requests to be too generic and hard to figure out the root cause of the user's frustration. β I also find conducting more detailed user interviews too time-consuming, especially as an indiehacker founder! That's what prompted me to build UserFeedChat π¬ How it works: 1. Create a custom-branded
Congratulations on the launch! In the future, you might consider capturing user behaviors and analyzing them alongside text-based comments using AI. Combining these data points could help you uncover valuable insights into user pain points and needs
Congrats on the launch @abriscallbowker Does it adapt the follow-up questions based on user responses, or is it pre-set? Really curious about how you plan to complete with products like canny.io. I mean, all it takes canny is to add AI layer on top of what they have. No?
Congrats on the launch! UserFeedChat looks like a game-changer for gathering authentic user feedback. How do you see it integrating with other AI tools in the future?
All the best for the launch @abriscallbowker!
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.