Churn diagnosis
Last updated 2026-06-15
Definition
Churn diagnosis reads your retention curve and judges it by shape, not by a single number. A curve that flattens and holds means product-market fit is present; one that keeps falling past month three points to a fit problem, not onboarding; a curve that dips then climbs is recovering. Each shape comes with its own retention playbook.
How to do this in Quri
- Connect a revenue or event source so Quri can build cohort retention over time.
- Ask Quri to diagnose retention, or run the diagnose_retention tool in chat.
- Read the curve-shape finding — flatten-and-hold, perpetual decline, or a recovering smile.
- Follow the matching playbook; a perpetual decline routes you to fit work, not onboarding tweaks.
Frequently asked
- Why does the curve shape matter more than the churn rate?
- A single rate hides the story. The shape tells you whether the core value holds, whether it is a fit problem, or whether users are coming back — and that changes what you should fix.
- How does it know it is a product-market-fit problem?
- When retention never flattens and keeps cliffing past month three, the loss is structural rather than an early-onboarding gap. Quri flags that as a critical fit signal with its own playbook.
- Does it spot cohorts getting worse over time?
- Yes. When you supply per-cohort month-one retention, Quri flags a deteriorating trend — newer cohorts holding worse than older ones — which usually means saturation or competition.