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metrics-tracking

Define, track, and analyze product metrics with OKR frameworks.

4|2|Updated Feb 2, 2026
Search Tags:#metrics#engagement#dashboard#KPIs#retention#OKRs#product analytics
One-click install
npx skills add https://github.com/propane-ai/kits --skill metrics-tracking-propane-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics-tracking
Source: https://github.com/propane-ai/kits/tree/main/plugins/Product/skills/metrics-tracking
Command: npx skills add https://github.com/propane-ai/kits --skill metrics-tracking-propane-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps product managers and teams define, track, analyze, and act on product metrics effectively, ensuring alignment with business goals and driving data-informed decisions.

Core Features & Use Cases

  • Metric Definition: Establishes clear definitions for North Star, L1, and L2 metrics, aligning with user lifecycle stages (Acquisition, Activation, Engagement, Retention, Monetization, Satisfaction).
  • Goal Setting Frameworks: Implements OKRs (Objectives and Key Results) and provides guidance on setting realistic and ambitious metric targets.
  • Dashboard Design: Offers principles and anti-patterns for creating effective product dashboards that provide clear insights and support decision-making.
  • Use Case: When setting up quarterly objectives, use this Skill to define measurable Key Results and establish baseline metrics for tracking progress.

Quick Start

Use the metrics-tracking skill to help define the North Star metric for a new collaboration feature.

Frequently Asked Questions about metrics-tracking

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

FAQPage Schema
How do I define product metrics for tracking user engagement and retention?▼

Product metrics are defined by establishing clear North Star, L1, and L2 metrics aligned with user lifecycle stages like Acquisition, Activation, Engagement, and Retention. This framework ensures tracking accurately reflects user engagement and retention goals.

What is the best way to set up OKRs for a product analytics dashboard?▼

Setting up OKRs for a product analytics dashboard involves defining Objectives and Key Results to establish realistic metric targets. Applying specific dashboard design principles ensures clear insights that support data-informed decision-making and progress tracking.

How do I design a KPI dashboard that avoids common anti-patterns?▼

Designing a KPI dashboard involves applying established principles while avoiding common anti-patterns that obscure data. Effective dashboards focus on clear metric tracking and insights, directly supporting product teams in making data-informed decisions.

Can I use this approach to establish baseline metrics for quarterly objectives?▼

Yes, you can establish baseline metrics for quarterly objectives by implementing OKRs to set measurable Key Results. This approach supports goal setting and establishes a structured review cadence to track progress effectively throughout the product lifecycle.

Does product metrics tracking integrate with existing knowledge base tools?▼

Yes, product metrics tracking integrates with product analytics and knowledge base tools for data retrieval and context. This integration supports comprehensive metric analysis and facilitates data-informed decisions aligned with business goals.

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