cohort-analysis
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
npx skills add phuryn/pm-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 & Retention Explorer ## Purpose Analyze user engagement and retention patterns by cohort to identify trends in user behavior, feature adoption, and long-term engagement. Combine quantitative insights with qualitative research recommendations. ## How It Works ### Step 1: Read and Validate Your Data - Accept CSV, Excel, or JSON data files with user cohort information - Verify data structure: cohort identifier, time periods, engagement metrics - Check for missing values and data quality issues - Summarize key statistics (cohort sizes, date ranges, metrics available) ### Step 2: Generate Quantitative Analysis - Calculate cohort retention rates and engagement trends - Identify retention curves, drop-off patterns, and anomalies - Compute feature adoption rates across cohorts - Calculate month-over-month or period-over-period changes - Generate Python analysis scripts using pandas and numpy if requested ### Step 3: Create Visualizations - Generate retention heatmaps (cohorts vs. time periods) - Create line charts showing cohort progression - Build comparison charts for feature adoption - Visualize drop-off points and engagement trends - Output as interactive charts or st
- Purpose
- How It Works
- Step 1: Read and Validate Your Data
- Step 2: Generate Quantitative Analysis
- Step 3: Create Visualizations
- Step 4: Identify Insights & Patterns
- Step 5: Suggest Follow-Up Research
- Usage Examples
- Key Capabilities
- Tips for Best Results
- Output Format
- Further Reading
What does the cohort-analysis skill do?
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
How do I install it?
Run `npx skills add phuryn/pm-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 phuryn/pm-skills, a repository with 24,843 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.