Yousef Hatem

How do you actually figure out why users churn? I built a small tool to test this

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Hey everyone,

I’ve been thinking a lot about churn lately and realized something uncomfortable:
most teams say they track churn, but very few actually understand why users leave in a structured, actionable way.

so, I built a small MVP called Churnalysis to test the idea.

The concept is simple:

  • collect cancellation feedback in a structured way

  • run short AI-powered exit interviews

  • analyze patterns instead of reading random comments or spreadsheets

Right now this is nearly-finished - I’m not selling anything yet.
I’m trying to validate:

  • whether this is a real problem for founders / SaaS teams

  • what insights people actually want from churn data

  • whether an API-first approach even makes sense

I put together a short landing page + feedback form (2–3 minutes):
👉 https://churnalysis.darealdevelopmaster.workers.dev/

I’d genuinely love feedback on:

  • Is this a real pain for you?

  • How do you currently handle churn feedback?

  • What feels unclear or unnecessary on the page?

I’ll be adding screenshots below for context.
Thanks - and feel free to be brutally honest.

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Jide Lambo

Hi Yousef, this is quite interesting. More interesting because I've been heads-down working on churn predictive and prevent experience, and I recognized you've been embarking on a beautiful problem as well.

If I may ask, what led you down this part, and what are some learnings you've seen out there with how teams solve for churn?

We built firstdistro.com - helps B2B companies predict customers looking to churn and quickly help teams prevent them. Would love to chat some more on this topic and how I might be able to help with your project.

- Jide