Whyze - Understand why users leave your product — not just where
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Whyze uses AI to analyze your conversion funnel and explain why users drop off. Get root causes instead of charts and receive actionable insights in seconds.
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Maker
📌
Hey Product Hunt! 👋
I’m Timur, the maker of Whyze.
I built it after repeatedly seeing the same situation: products have analytics dashboards, but teams still don’t understand why users leave.
Funnels show numbers, but not reasoning.
So I wanted to create a tool that explains the behavioral cause and suggests what to fix first.
Whyze lets you upload funnel data and get a plain‑language explanation in about a minute.
This is the very first public version, and I’d genuinely love honest feedback.
I’ll be here all day answering every question and improving things quickly.
Thank you for checking it out 🙏
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@kaliev_dev Congrats! How do you ensure the insights reflect real user sentiment, not just correlated patterns?
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Maker
I’m here and will be replying to everyone today.
If you try Whyze, I’d love to know:
what did you expect it to do — and what actually happened?
Understanding why users leave is usually more valuable than tracking usage. Curious — do teams use this more for retention diagnosis or product roadmap decisions?
Right now teams mostly use it for retention/activation — figuring out why users sign up but never reach the “aha” moment.
But interestingly, the insights often end up influencing roadmap decisions too, because the analysis highlights missing onboarding steps or unclear product value.
So it usually starts as a diagnosis tool and turns into a product decision tool.
Replies
@kaliev_dev Congrats! How do you ensure the insights reflect real user sentiment, not just correlated patterns?
I’m here and will be replying to everyone today.
If you try Whyze, I’d love to know:
what did you expect it to do — and what actually happened?
Fluensa
Great project!
Great idea and project!
Understanding why users leave is usually more valuable than tracking usage. Curious — do teams use this more for retention diagnosis or product roadmap decisions?
@geneebem Great question!
Right now teams mostly use it for retention/activation — figuring out why users sign up but never reach the “aha” moment.
But interestingly, the insights often end up influencing roadmap decisions too, because the analysis highlights missing onboarding steps or unclear product value.
So it usually starts as a diagnosis tool and turns into a product decision tool.