pm-metrics

Define a north star metric and input metrics framework from PMContext requirements.

1|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/Wcof/PMSkill --skill pm-metrics-wcof
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-metrics
Source: https://github.com/Wcof/PMSkill/tree/main/skills/discovery/pm-metrics
Command: npx skills add https://github.com/Wcof/PMSkill --skill pm-metrics-wcof

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps product teams turn a partially defined product idea or PMContext into a focused metrics framework anchored by one clear north star metric. It prevents common mistakes like choosing revenue as the north star, defining too many top-line metrics, or picking indicators that cannot be traced back to user value.

Core Features & Use Cases

  • North Star Definition: Derives a single customer-centered north star metric from PMContext and validates it against seven quality criteria.
  • Input Metrics Design: Builds a supporting set of 3-5 input metrics that directly influence the north star and help teams identify optimization levers.
  • Business Game Classification: Classifies the product as an attention, transaction, or productivity game to guide metric direction.
  • Traceable Metrics Tree: Produces a Mermaid metric tree and source mapping so every metric can be traced back to PMContext evidence or explicitly marked as an assumption.
  • Use Case: When a PM has already gathered requirements in PMContext for a membership renewal flow, this Skill can define the right north star, validate it, and produce an actionable measurement plan for launch.

Quick Start

Ask the agent to use pm-metrics on your PMContext to classify the business model, choose a north star metric, and generate 3-5 input metrics with a metric tree.

Frequently Asked Questions about pm-metrics

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 strategy?

A north star metric is a single customer-centered measure that reflects core user value and guides product strategy. It is validated against seven quality criteria and supported by a framework of input metrics to ensure teams optimize for actual user engagement rather than just revenue.

How do I create a measurement framework with input metrics?

You build a measurement framework by designing 3-5 input metrics that directly influence your north star metric. This framework helps teams identify specific optimization levers and establishes a clear hierarchy from actionable inputs to the overarching product goal.

What is the best way to map a product metrics tree?

The best way to map a product metrics tree is to generate a Mermaid diagram that visually connects your input metrics to the north star. This traceable structure maps every metric back to product context evidence or explicitly marks it as an assumption for clear team alignment.

Can I use a measurement framework for attention, transaction, or productivity products?

Yes, the framework explicitly classifies your product into attention, transaction, or productivity business games to guide metric direction. This classification ensures your chosen north star metric accurately aligns with your specific product model and expected user behaviors.

Why should revenue not be used as a north star metric?

Revenue should not be your north star metric because it is a lagging indicator that cannot be directly traced back to user value. Choosing a customer-centered metric instead ensures your team focuses on optimizing the specific product behaviors that drive sustainable growth.

Do I need structured PMContext requirements to generate a metrics framework?

Yes, you need structured PMContext requirements to generate a metrics framework because the system derives the north star and input metrics directly from this input. It uses this context to ensure traceability and validate the selected metrics against real user value.