product-analytics

Define product KPIs and design dashboards across product lifecycle stages.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/Patasse97/claude-skills --skill product-analytics-patasse97
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/Patasse97/claude-skills/tree/main/product-team/product-analytics
Command: npx skills add https://github.com/Patasse97/claude-skills --skill product-analytics-patasse97

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Product teams need to define consistent KPIs, align on metric frameworks, and translate data into actionable insights across discovery, growth, and mature product stages.

Core Features & Use Cases

  • Define KPI frameworks (AARRR, North Star, HEART) and align metrics with product strategy.
  • Design multi-layer dashboards and metric hierarchies to monitor discovery, growth, and retention.
  • Perform cohort and retention analyses and interpret feature adoption across releases.

Quick Start

Define your product KPI framework and build a multi-stage dashboard to monitor activation, retention, and adoption signals.

Frequently Asked Questions about product-analytics

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

FAQPage Schema
How do I define a KPI framework for product analytics?

Designing a multi-layer dashboard for product analytics involves structuring metric hierarchies to monitor activation, retention, and feature adoption signals across different product lifecycle stages.

What is the best way to perform cohort and retention analysis?

The best way to perform cohort and retention analysis is to track user groups over time, interpreting feature adoption across releases to understand how different segments behave during the growth and mature product stages.

How do I track feature adoption across product releases?

You track feature adoption by applying structured metric frameworks to interpret user signals across releases, ensuring consistent KPI measurement and actionable insights throughout the product lifecycle.

When do I need the North Star framework for product metrics?

Yes, you can use the HEART framework to design multi-layer dashboards that monitor user happiness, engagement, adoption, retention, and task success across various product lifecycle stages.