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.
npx skills add mohitagw15856/pm-claude-skills --skill cohort-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cohort Analysis Skill Produces a structured cohort analysis covering retention curves, LTV estimation, behavioural segmentation, leading churn indicators, and prioritised interventions. Output is ready to present to product leadership or share with growth and data teams. --- ## Required Inputs **Ask for any of these that are missing before starting. Do not fabricate numbers, benchmarks, or schema details.** | Input | What to ask if missing | |---|---| | **Analysis goal** | Retention improvement / LTV modelling / behavioural segmentation / churn prediction — pick one primary goal | | **Product or feature** | What is being analysed? | | **Cohort definition** | What groups users into a cohort? (acquisition month, signup channel, plan tier, feature adoption date) | | **Observation window** | How many periods to track? (e.g. 12 months, 8 weeks) | | **Key metric** | What is measured per cohort? (retention rate, revenue, engagement score, feature usage) | | **Available data** | Paste schema, table names, or describe what metrics exist — do not assume | | **Baseline or goal** | Any existing retention benchmarks or targets to compare against? | If the user cannot supply actual data, produ
- Required Inputs
- Process
- Output Template
- 1. Cohort Definitions
- 2. Retention Curve
- 3. LTV Projection
- 4. Behavioural Segmentation
- 5. Leading Indicators of Churn
- 6. Cohort Comparison: Trend Over Time
- 7. Recommendations
- 8. SQL Reference
- Scoring Rubric (0–40)
- Quality Checks
- Anti-Patterns
What does the cohort-analysis skill do?
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.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill cohort-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.