Description
cohort-analysis is an agent skill that analyzes user engagement data by cohort, to show how retention, feature adoption and engagement change over time for groups of users who started together. It starts by reading and validating your data, accepting CSV, Excel or JSON files that contain cohort information. It checks that the cohort identifier, the time periods and the engagement metrics are present, looks for missing values and quality problems, and summarizes the cohort sizes and date ranges. It then generates the quantitative analysis, calculating retention curves and cohort trends, and segment-level insights. The skill also recommends qualitative research to follow up on what the numbers show. It is useful when you want to know whether users stay, which features they adopt and whether newer cohorts behave better than older ones. It is aimed at product managers and analysts who work with usage data. The skill is part of the pm-skills collection by phuryn and is listed on skills.sh as free.…
Highlights
- Reads CSV, Excel or JSON cohort data and checks its quality
- Calculates retention curves and feature adoption trends
- Segment-level insights from the cohort data
- Recommends qualitative research to follow up
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cohort-analysis FAQ
What data does cohort-analysis need?
CSV, Excel or JSON files with cohort identifiers, time periods and engagement metrics.
What does it calculate?
Cohort retention curves, feature adoption trends and segment-level insights.
Does it check data quality?
Yes. It looks for missing values and data quality issues before the analysis.
Who is it for?
Product managers and analysts studying user retention.
How do I install it?
Run npx skills add https://github.com/phuryn/pm-skills --skill cohort-analysis in your terminal.
Is it free?
The listing shows the skill as free.
What are the best cohort-analysis alternatives?
Popular alternatives to cohort-analysis include metrics-review, ab-test-analysis and metrics-dashboard. See all cohort-analysis alternatives