I built a tool that reads your churn feedback so you don't have to
Every SaaS founder I know tracks churn rate religiously. Almost none of them actually read the cancellation feedback.
I get it. The feedback sits scattered across Stripe cancellation surveys, support inbox replies, "why are you leaving" forms, and the occasional angry tweet. Reading 50 responses takes an hour. Categorizing them takes another hour. By the time you're done, you've got a messy spreadsheet and no idea what to actually fix first.
So I built RetentionCheck.
You paste cancellation feedback (plain text, CSV, or forwarded emails). 30 seconds later you get:
A Churn Health Score (0 to 100, letter grade A through F)
The top 5 to 8 churn drivers ranked by severity
Direct customer quotes backing each insight
One priority action to take this week
No dashboards to configure. No integrations to set up. Paste, analyze, ship a fix.
What I learned building this
The hardest part wasn't the AI. Claude handles the analysis well. The hardest part was making founders actually trust the output.
Early versions just spit out insights with no evidence. People didn't believe the AI. So I made it quote real customer words for every insight. Trust went up immediately.
The stack
Next.js 16, Supabase, Claude Sonnet 4.6, Stripe, Vercel. Boring and fast.
Pricing
Free: 3 analyses per month, no signup needed at /try
Pro: $49/mo unlimited
Lifetime: $399 one-time, capped at 100 seats
Also shipped as an MCP server so you can run it inside Claude Code or Cursor with one command.
What's next
Trend tracking across analyses (Pro), Stripe Connect integration to pull cancellation reasons automatically, and a public benchmark database so you can compare your churn drivers against your category.
Would love feedback from other founders. What does your current churn analysis process look like? Are you reading the feedback or just watching the rate?
