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cohort-analysis

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

Updated Aug 27, 2026
Search Tags:#data visualization#retention#user engagement#cohort analysis#churn#feature adoption
One-click install
npx skills add https://github.com/lamngit1995/phuryn-pm-skills --skill cohort-analysis-lamngit1995
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/lamngit1995/phuryn-pm-skills/tree/main/pm-data-analytics/skills/cohort-analysis
Command: npx skills add https://github.com/lamngit1995/phuryn-pm-skills --skill cohort-analysis-lamngit1995

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps analyze user engagement and retention patterns by cohort, identifying trends in user behavior, feature adoption, and long-term engagement.

Core Features & Use Cases

  • Retention Analysis: Calculate and visualize retention rates over time.
  • Cohort Comparison: Compare metrics across different user groups.
  • Feature Adoption Trends: Study how features are adopted across various cohorts.
  • Churn Investigation: Identify patterns and reasons for user churn.
  • Use Case: Analyze monthly user cohorts to understand why a specific cohort shows lower retention than others, and suggest targeted interventions.

Quick Start

Upload cohort_engagement.csv and analyze retention patterns to identify why Q4 2025 cohorts underperform compared to Q3.

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 and engagement patterns by cohort?▼

Cohort analysis calculates and visualizes user retention rates over time to reveal retention curves, feature adoption trends, and segment-level insights. It compares metrics across different user groups to identify long-term engagement patterns.

How can I investigate user churn patterns to identify why specific cohorts underperform?▼

Churn investigation identifies patterns and reasons for user churn by comparing metrics across different user cohorts. It helps analyze why specific groups show lower retention and suggests targeted interventions to improve engagement.

What is the best way to study feature adoption trends across various user groups?▼

Studying feature adoption trends involves analyzing user engagement data by cohort to see how features are adopted over time. This process generates quantitative analysis and visualizations to track engagement trends across different segments.

Can I compare retention metrics across different user groups using a CSV file?▼

Yes, you can upload a CSV file like cohort_engagement.csv to compare retention metrics across different user groups. The analysis processes the engagement data to generate segment-level insights, visualizations, and suggests follow-up research.

When do I need to perform cohort analysis on user engagement data?▼

You need cohort analysis when trying to understand why a specific user group shows lower retention than others or when tracking long-term engagement. It helps uncover retention curves and identifies trends requiring targeted interventions.

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