cohort-analysis

SKILL.md

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