cohort-analysis

Analyze user retention and adoption cohorts to identify behavioral trends.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/tylersahagun/elmer --skill cohort-analysis-tylersahagun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/tylersahagun/elmer/tree/main/.cursor/skills/cohort-analysis
Command: npx skills add https://github.com/tylersahagun/elmer --skill cohort-analysis-tylersahagun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps identify patterns in user behavior over time, enabling better product decisions and strategies for retention and adoption.

Core Features & Use Cases

  • Retention Analysis: Track how long users remain active after their initial engagement.
  • Adoption Tracking: Monitor the uptake of new features or product areas by different user groups.
  • Use Case: Analyze a cohort of users who signed up last month to see what percentage are still active this month, and identify common characteristics of those who churned.

Quick Start

Analyze the cohort data to understand user retention trends.

Frequently Asked Questions about cohort-analysis

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

FAQPage Schema
What is cohort analysis and how does it identify user behavior trends?

Cohort analysis identifies user behavior trends by tracking retention and adoption metrics over time. It groups users by initial engagement to monitor how long they remain active and to pinpoint patterns in feature uptake.

How do I analyze user retention for a group that signed up last month?

To analyze user retention, the Skill processes metrics data from your specified user group to calculate the percentage still active. It identifies behavioral trends and highlights common characteristics among users who churned.

Can I track feature adoption across different user groups with this Skill?

Yes, you can track feature adoption by providing context on adoption metrics. The Skill monitors the uptake of new product areas by different user groups to generate actionable cohort insights.

What data do I need to provide to generate meaningful retention and adoption insights?

You need to provide specific context on retention and adoption, including metrics data and initiative state. Meaningful analysis requires this raw data to accurately process behavioral trends and learning opportunities.

How does this approach differ from general product analytics workflows?

Unlike general product analytics, this approach specifically isolates retention and adoption cohorts to identify behavioral trends. It processes metrics data to produce targeted cohort insights rather than broad usage statistics.

Why does my cohort analysis return limited insights without specific retention context?

Limited insights occur because the Skill requires specific context on retention and adoption to generate meaningful analysis. Without proper metrics data and initiative state, it cannot accurately identify behavioral trends.