Cohort Analysis
Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.
Install
npx pm-claude-skills add --agent claude # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp
What to give it
- Analysis goal — retention improvement / LTV modelling / behavioural segmentation / churn prediction
- Product or feature being analysed
- Cohort definition — what groups users? (acquisition month, signup channel, plan tier, feature adoption)
- Observation window — how many periods to track? (e.g. 12 months, 8 weeks)
- Key metric — what are you measuring per cohort? (retention rate, revenue, engagement score, feature usage)
- Available data — what tables/metrics are available? (paste schema or describe)
- Baseline — any existing retention benchmarks or goals?
Related skills
Cohort Analysis is one of 174 open-source professional AI agent skills.
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