metrics-tracking

Define, track, and analyze product metrics with OKRs and dashboards.

Updated Jan 11, 2026
One-click install
npx skills add https://github.com/chelleboyer/reachy_mini_retail_assistant --skill metrics-tracking-chelleboyer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-tracking
Source: https://github.com/chelleboyer/reachy_mini_retail_assistant/tree/main/skills/product-management/skills/metrics-tracking
Command: npx skills add https://github.com/chelleboyer/reachy_mini_retail_assistant --skill metrics-tracking-chelleboyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Define, track, and analyze product metrics to guide decision making.

Core Features & Use Cases

  • North Star Metric: Establishes the single guiding metric that aligns teams around core value delivery.
  • L1/L2 Metrics & Health Indicators: Defines a hierarchy for health tracking across Acquisition, Activation, Engagement, Retention, Monetization, and Satisfaction.
  • OKR Alignment & Dashboards: Provides frameworks for setting OKRs and designing dashboards that surface actionable insights.
  • Use Case: Weekly metrics reviews drive data-informed product decisions.

Quick Start

Set your North Star, identify 5-7 L1 metrics, and assemble a starter dashboard to begin weekly reviews.

Frequently Asked Questions about metrics-tracking

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

FAQPage Schema
How do I define a North Star metric and L1 health indicators for product management?

To define a North Star metric and L1 health indicators, establish a single guiding metric for core value delivery, then identify 5-7 L1 metrics across acquisition, activation, engagement, retention, monetization, and satisfaction to track product health.

What is the best way to structure OKRs and dashboards for weekly metrics reviews?

The best way to structure OKRs and dashboards for weekly metrics reviews is to align OKRs with your North Star metric and apply dashboard design principles that surface actionable insights, driving data-informed product decisions.

How does a layered metrics framework with L1 and L2 indicators work for data analytics?

A layered metrics framework works by establishing a North Star metric at the top, branching into L1 metrics for broad health tracking, and utilizing L2 indicators to provide granular trend analysis across specific product areas.

Can I track product health indicators for retention and monetization without a complex data analytics setup?

You can track product health indicators for retention and monetization by identifying 5-7 key L1 metrics and assembling a starter dashboard, allowing you to begin weekly reviews and guide decision making without complex setup.

When do I need a structured metrics tracking framework versus a simple dashboard?

You need a structured metrics tracking framework when you require end-to-end measurement and governance, utilizing a North Star metric, L1/L2 health indicators, and OKR alignment to guide strategic decisions rather than just viewing data.