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cohort-analysis

Analyze user engagement data from CSV, Excel, or JSON files to calculate retention rates and generate visualizations.

Updated Mar 16, 2026
Search Tags:#data visualization#cohort analysis#user retention#feature adoption#churn analysis#engagement metrics
One-click install
npx skills add https://github.com/runchr-com/pm-skills-gemini --skill cohort-analysis-runchr-com
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/runchr-com/pm-skills-gemini/tree/main/.gemini/skills/cohort-analysis
Command: npx skills add https://github.com/runchr-com/pm-skills-gemini --skill cohort-analysis-runchr-com

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, identifying patterns in retention, feature adoption, and churn.

Core Features & Use Cases

  • Retention Analysis: Calculate and visualize how long users from specific cohorts remain active.
  • Feature Adoption Tracking: See how different cohorts adopt new features over time.
  • Churn Investigation: Identify patterns and potential reasons for user drop-off.
  • Insight Generation: Spot trends, anomalies, and surprising findings in user engagement data.
  • Research Recommendations: Suggest next steps for deeper understanding through qualitative research or A/B tests.

Quick Start

Analyze retention patterns for user data in the attached 'cohort_engagement.csv' file.

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 curves from a CSV file?▼

User retention analysis processes CSV, Excel, or JSON files to calculate retention rates and generate visualizations like heatmaps and line charts. This reveals how long users from specific cohorts remain active over time.

What is the best way to track feature adoption trends across different user cohorts?▼

Feature adoption tracking analyzes user engagement data by grouping users into cohorts. This identifies how different user segments adopt new features over time and highlights significant behavioral patterns or anomalies.

Can I investigate churn patterns using Excel data?▼

Yes, you can investigate churn patterns using Excel data by calculating engagement metrics across user cohorts. The analysis identifies drop-off points and suggests follow-up qualitative research or A/B tests to understand potential reasons for user churn.

Does cohort analysis work with JSON data formats?▼

Yes, cohort analysis works with JSON data formats, alongside CSV and Excel files. It processes structured user data to calculate retention rates, generate visualizations like heatmaps and line charts, and identify segment-level engagement insights.

What visualizations are generated for engagement metrics?▼

Visualizations generated for engagement metrics include heatmaps and line charts. These visualizations represent retention curves and segment-level insights, making it easier to spot trends, anomalies, and significant patterns in user behavior over time.

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