The trends. Step 3. Now that we have identified the patterns of user pain points, we need to determine which ones are more important and which ones are less important. We use all the user data to help us identify the most significant ones.

The Feedback Flow. Step 2. We continue by identifying common patterns among users' pain points. We use a bit of AI to speed up the process. Who among your users experiences similar issues? Who are they, and what do they have in common? #buildinpublic

We tend to keep the user feedback flow simple. Where do we start? Step 1. We begin by providing the ability to collect both qualitative and quantitative user data without any complex setup. Because they can be combined later in an amazing way. #buildinpublic

R to @ikoichi: yep, agree, this is how it works basically :)

R to @ibillidi: Yeah, but manually means sending them an email I guess 😅 Same problem, people doesn't give you much attention.

R to @ikoichi: I agree that while you're a small company, the best choice is to do it manually. Once you get bigger, @KaleidoHQ can help, works with Telegram btw

R to @pkoval: Absolutely, we will be sharing detailed insights into how Kaleido works in the weeks ahead 🙏

R to @KaleidoHQ: would love to hear more from the team what kind of feedback does Kaleido get and what is your approach working with that feedback!

User feedback management principles we love: - Keep it in one place, don't care about the platform. - Weekly, spot common patterns. - Create spec drafts based on those patterns. - Include in the specs relevant user data. - Start team discussions on the solution with this draft!

R to @AIDepotHQ: Featuring: @vzy_co, @Kraftful, @MusicfyLol, @quack_ai, @FineShare_Soft @Vexis_AI, @KaleidoHQ, @Watto_AI & more!

R to @jsngr: The fact that you should design first and develop second. We believe it should be a unified process.

R to @Scobleizer: Thank you!

R to @_Catchmaker: Well done! :-)

R to @KaleidoHQ: Wait, so I found an AI company that @Scobleizer isn't following?!? "AI product manager for dev teams A co-pilot that collects user feedback, understands the pain points, generates task specifications. Automatically." Apparently made in Barcelona by @ibillidi and >@KateBovk

Check out @KaleidoHQ, the AI product manager for dev teams

Form typically follows function, but sometimes, it's the form alone that gives unexpected results. #buildinpublic

Pain points in your product lead to more than just frustration; they cost users time, money, and trust. Let's uncover, prioritize, and solve these pain points together. #userResearch #customerfeedback