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cohort-analysis

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

25.0k|2.7k|Updated Mar 1, 2026
Search Tags:#data visualization#engagement#cohort analysis#churn#user retention#feature adoption
One-click install
npx skills add https://github.com/phuryn/pm-skills --skill cohort-analysis-phuryn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/cohort-analysis
Command: npx skills add https://github.com/phuryn/pm-skills --skill cohort-analysis-phuryn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand how user behavior changes over time by analyzing engagement and retention patterns across different user groups (cohorts).

Core Features & Use Cases

  • Retention Analysis: Track how long users from specific sign-up periods remain active.
  • Feature Adoption: See how different cohorts adopt new features.
  • Churn Investigation: Identify patterns that lead to users leaving.
  • Use Case: Analyze why users who signed up in Q4 2025 are churning faster than those from Q3 2025.

Quick Start

Analyze retention patterns and identify why Q4 2025 cohorts underperform compared to Q3 by uploading cohort_engagement.csv.

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 different signup cohorts?▼

This Skill performs cohort analysis on engagement data to generate retention curves and segment-specific insights. It compares users by signup period to reveal exactly how long different groups remain active.

What is cohort analysis and how does it show feature adoption trends?▼

Cohort analysis groups users by signup timeframe to study behavior changes over time. It tracks feature adoption trends by comparing how different user segments engage with new functionality after release.

How do I investigate churn patterns within specific user groups?▼

Churn investigation identifies behavioral patterns leading to user drop-off. By analyzing engagement data across cohorts, you can isolate variables causing faster attrition in specific user segments.

Can I analyze cohort retention using a CSV file?▼

Yes, you can analyze cohort retention by uploading a CSV file containing user engagement data. The process requires data validation before generating retention visualizations and identifying segment insights.

What's the best way to visualize engagement trends across cohorts?▼

Visualizing engagement trends requires generating dedicated retention curves and cohort comparison charts. This quantitative analysis highlights feature adoption trends and segment-specific behavioral shifts over time.

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