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cohort-analysis

Analyze user engagement and retention patterns by cohort from CSV, Excel, or JSON data.

Updated Apr 28, 2026
Search Tags:#data visualization#cohort analysis#product analytics#user retention#feature adoption
One-click install
npx skills add https://github.com/Lev-it/lev-skills --skill cohort-analysis-lev-it
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/Lev-it/lev-skills/tree/main/.claude/skills/cohort-analysis
Command: npx skills add https://github.com/Lev-it/lev-skills --skill cohort-analysis-lev-it

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of user engagement and retention patterns by cohort, helping you identify trends in user behavior and feature adoption.

Core Features & Use Cases

  • Cohort Retention Analysis: Calculate and visualize retention rates over time.
  • Feature Adoption Trends: Compare adoption curves for features across cohorts.
  • Insight Generation: Identify significant patterns and suggest follow-up research.
  • Use Case: Analyze how Q4 2025 cohorts underperform compared to Q3 by examining retention patterns and feature adoption rates.

Quick Start

Upload your user engagement data and request an analysis of retention patterns and feature adoption trends.

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 feature adoption trends with cohort data?▼

To analyze user retention and feature adoption trends with cohort data, upload your user engagement data in CSV, Excel, or JSON format to calculate retention rates, compare adoption curves, and identify significant behavioral patterns across cohorts.

What is cohort analysis in product analytics?▼

Cohort analysis in product analytics is a method that evaluates user engagement and retention patterns by grouping users into cohorts, helping you identify trends in user behavior and feature adoption over specific time periods.

Can I use Excel or CSV files for cohort retention analysis?▼

Yes, you can use Excel or CSV files for cohort retention analysis, as the Skill requires data input in CSV, Excel, or JSON format to calculate and visualize retention rates over time.

How do I compare feature adoption curves across different user cohorts?▼

You compare feature adoption curves across different user cohorts by feeding your raw engagement data into the analyzer, which calculates adoption trends, identifies significant patterns in user behavior, and suggests follow-up research.

What is the best way to identify why a specific user cohort underperforms in retention?▼

The best way to identify why a specific user cohort underperforms in retention is to examine their retention patterns and feature adoption rates, allowing the analysis to generate insights and suggest targeted follow-up research.

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