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cohort-analysis

Analyze user engagement data to reveal retention curves and feature adoption trends.

Updated Mar 7, 2026
Search Tags:#cohort analysis#product analytics#user retention#feature adoption#churn analysis#engagement metrics
One-click install
npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill cohort-analysis-shalevamin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/shalevamin/The-_Ultimate_agents/tree/main/.claude/skills/cohort-analysis
Command: npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill cohort-analysis-shalevamin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand user behavior over time by analyzing how different groups (cohorts) of users engage with your product, enabling you to improve retention and identify engagement trends.

Core Features & Use Cases

  • Retention Analysis: Visualize and quantify how long users from specific cohorts remain active.
  • Feature Adoption Tracking: Monitor how different cohorts adopt new features over time.
  • Churn Investigation: Identify patterns and reasons behind user drop-offs for specific cohorts.
  • Use Case: Analyze user sign-ups from January 2023 and track their feature usage and retention rates for the next six months to understand long-term engagement.

Quick Start

Upload cohort_engagement.csv and analyze retention patterns for Q4 2025 cohorts.

Frequently Asked Questions about cohort-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze user retention for a specific cohort?▼

To analyze user retention, upload your cohort_engagement.csv file to calculate retention rates, visualize retention curves, and identify segment-level insights for specific user groups over time.

What is cohort analysis and when do I need it for product analytics?▼

Cohort analysis groups users by shared characteristics to track engagement metrics over time. You need it to quantify retention, monitor feature adoption, and investigate churn patterns within specific user segments.

How can I track feature adoption trends across different user groups?▼

Track feature adoption trends by evaluating cohort engagement data over time. The analysis requires data validation and calculates feature adoption metrics to reveal how different cohorts adopt new features.

Can I investigate churn patterns using a CSV of user engagement data?▼

Yes, you can investigate churn patterns by uploading a cohort_engagement.csv. The analysis identifies drop-off reasons and patterns for specific cohorts using quantitative and qualitative methods.

Do I need a specific data format to calculate retention rates and generate visualizations?▼

Yes, you need a cohort_engagement.csv file containing user engagement data. The Skill validates this data to calculate retention rates and generate visualizations for research recommendations.

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