The Smallest Possible Health Model
Three inputs beat twelve: activation state, usage recency/depth, and key feature adoption. Start with equal weights. If AUC/ROC against churn is ~0.5, your inputs are wrong, not your math. Fix the signals first.
Three inputs beat twelve: activation state, usage recency/depth, and key feature adoption. Start with equal weights. If AUC/ROC against churn is ~0.5, your inputs are wrong, not your math. Fix the signals first.
Attractive aggregate metrics can conceal the details we need to make informed decisions. Separate activity from effect and keep the math boring and consistent. Useful, defensible formulas:
Involuntary churn is failure to collect (payment issues, expired cards). Voluntary churn is a decision (no value, no budget, switching). The fixes differ. Involuntary churn is mostly ops and billing hygiene. Voluntary churn is product–market fit, onboarding, and value communications. Separate the streams in your reporting or you’ll chase the wrong problems.
The first two months set posture. The job isn’t heroics—it’s clarity. Outcomes the company expects from CS. Two or three leading indicators we’ll live and die by. Cadences that expose reality fast. What I do: – Map just enough of the current journey to find leverage, then stop mapping and run plays. – Publish a…
Journey maps are user-facing narratives that show what the person sees and feels. Service blueprints add the “backstage” layers: people, processes, and systems that create those moments. A practical pattern is: map one critical path end-to-end as a journey, then layer a blueprint to expose owners and measurement. That’s usually enough to run a focused…
For most SaaS, three checkpoints prevent long tail pain: – Technical fit verified (auth, data in, integrations stable) – First value achieved (the “aha” the buyer actually cares about) – Owner named (who runs it day-to-day) If any checkpoint fails, pause expansion plays and fix root cause. Onboarding is leverage; don’t step over it.
Churn is a lagging indicator. By the time a customer cancels, the problem started months earlier, usually as low engagement or stalled adoption. If you’re reacting to churn risk at renewal time, you’re already behind. The simplest formula for keeping customers I have been able to validate is below: Retention = Experience + Outcomes(Adoption(Engagement)) Work…