A shared map of who is drifting — and what to do next
The working model behind our engagements: risk bands, leading indicators, and owned responses your team can run without a data-science theatre.
Use this atlas with your product and growth leads, or walk through it with us during a risk review. It is the custom service model that ties instrumentation to action.
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Draw the risk bands
Separate healthy, watch, at-risk, and critical. Define each band with behavioural rules your stack can compute weekly — not gut feel after a board meeting.
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Name leading indicators
For each band, list the signals that tend to move first: session depth, billing health, support friction, feature abandonment. Cap the list at three per band.
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Write the event contract
Every indicator needs a dictionary entry: trigger, properties, uniqueness, owner. Prediction inputs without contracts rot quietly after the next release.
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Match responses to bands
Product nudge, human outreach, light incentive, or no action. Assign an owner and a forty-eight-hour play for each. Measure save-rate and margin, not vanity retention alone.
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Close the loop
Weekly atlas review: which bands grew, which responses worked, which labels need a rewrite. Retire noise. Keep the map shorter than the dashboard it replaces.
Where to go next
When you are ready to instrument or audit readiness, start with Churn Risk Instrumentation or a Prediction Readiness Audit. Prefer a structured cohort read first? Book an Early-Warning Cohort Review.