product-analytics

Name: product-analytics
Availability: InStock
Author: nicepkg

Define North Star metrics and implement event tracking, funnel, and cohort analysis.

276|46|Updated Jan 16, 2026

Search Tags:#metrics #event tracking #cohort analysis #user behavior #funnel analysis #product analytics

Ready to run

npx skills add https://github.com/nicepkg/ai-workflow --skill product-analytics-nicepkg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/product-analytics
Command: npx skills add https://github.com/nicepkg/ai-workflow --skill product-analytics-nicepkg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you understand user behavior and product performance by implementing robust event tracking, funnel analysis, cohort analysis, and key metric definitions.

Core Features & Use Cases

Define North Star Metric: Identify the single most important metric for your product.
Event Tracking: Implement code to track user actions and page views.
Funnel & Cohort Analysis: Analyze user journeys and retention patterns.
Key Metrics Hierarchy: Understand the relationship between your North Star, input metrics, and KPIs.
Use Case: When launching a new feature, use this Skill to set up event tracking for user interactions with the feature and analyze its adoption and retention rates through funnels and cohorts.

Quick Start

Use the product-analytics skill to define the North Star metric and set up event tracking for user signups.

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 North Star metric for my product?▼

To define a North Star metric, identify the single most important metric that reflects core product value. This Skill helps establish a key metrics hierarchy linking your North Star to input metrics and KPIs for data-driven decision-making.

How do I set up event tracking for a new feature launch?▼

Set up event tracking by implementing code to monitor user actions and page views. This Skill provides a framework to track feature interactions, enabling you to measure adoption and retention rates through subsequent analysis.

What is the best way to analyze user retention with cohort analysis?▼

Cohort analysis analyzes user retention patterns by grouping users based on shared behaviors or time periods. This Skill provides the framework to segment users and evaluate how specific features impact long-term retention.

How does funnel analysis help understand user behavior?▼

Funnel analysis helps understand user behavior by tracking the user journey through sequential steps to identify drop-off points. This Skill implements funnel analysis to reveal where users abandon processes, enabling targeted improvements.

Can I measure feature adoption rates using product analytics?▼

Yes, you measure feature adoption rates by combining event tracking with cohort and funnel analysis. This Skill sets up the necessary tracking infrastructure to monitor user interactions and evaluate adoption metrics.

Do I need a metrics hierarchy before implementing event tracking?▼

Establishing a metrics hierarchy first is recommended. This Skill helps define your North Star metric and KPIs before implementing event tracking, ensuring collected data directly supports your product analytics goals.