How it works
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Step 1. Pull churn cohort
Last 90 days of churned users with metadata.
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Step 2. Load cancel reasons
Free-text and dropdown answers.
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Step 3. Mine support tickets
Last 30 days of tickets from churned cohort.
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Step 4. Behavioural analysis
Last-14-days events vs healthy users.
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Step 5. Cluster root causes
Group signals into ranked causes with evidence.
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Step 6. Output fix bets
One concrete bet per root cause.
Description
Combines cancellation reasons, last 14 days of behaviour and CS notes into a ranked list of root causes with cohort size and supporting quotes for each.
When to use this Playbook
You know churn is high but every team blames a different reason. Surveys give vague "too expensive" answers.
Who it's for
Product teams, strategy teams, founders, innovation leads, and anyone responsible for choosing what to build or pursue.
•Product Managers•Strategy & Planning Teams•Innovation & Growth Leads•Founders & Entrepreneurs
What problems it solves
- •Too many ideas and no clear priorities
- •Decisions based on assumptions instead of real customer pain
- •Weak understanding of category leadership and competitive advantage
- •Lack of team alignment and shared commitment
- •No clear commitment or success metric
About the Author
Nyron Team
Nyron AI
Official playbooks from the Nyron AI core team. We design playbooks that ship a real artifact, not a process diagram.