metrics-framework

Define metric hierarchies linking lagging outcomes to predictive leading indicators.

20|4|Updated Oct 4, 2025
One-click install
npx skills add https://github.com/coalesce-labs/catalyst --skill metrics-framework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-framework
Source: https://github.com/coalesce-labs/catalyst/tree/main/plugins/pm/skills/metrics-framework
Command: npx skills add https://github.com/coalesce-labs/catalyst --skill metrics-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Establishes a structured framework that links lagging outcomes to predictive leading indicators, enabling data-driven decision making and faster product bets.

Core Features & Use Cases

  • Defines a metric hierarchy (lagging, leading, and input metrics) and the relationships between them.
  • Provides validation plans, alert thresholds, and dashboard design guidance to operationalize metrics.
  • Supports cross-skill integration and multi-stream guidance to align teams and roadmaps.

Quick Start

Define your North Star, then request three leading indicators that predict it.

Frequently Asked Questions about metrics-framework

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

FAQPage Schema
What is a metrics framework for connecting leading indicators to lagging outcomes?

A metrics framework links lagging outcomes to predictive leading indicators to enable data-driven product decisions. It defines a hierarchy of lagging, leading, and input metrics, establishing clear relationships between them to guide faster product bets.

How do I operationalize leading indicators into a dashboard design?

You operationalize leading indicators by applying a validation plan, setting alert thresholds, and defining ownership within your dashboard design. This connects the metric hierarchy directly to team workflows and roadmap alignment.

Can I use strategy docs and PRDs to define a cohort analysis metrics framework?

Yes, the metrics framework processes strategy docs, PM context-library metrics, and PRDs to surface actionable metrics. It extracts predictive leading indicators from these documents to establish a structured, validated hierarchy for product teams.

What is the best way to validate leading metrics and set alert thresholds?

The best way to validate leading metrics is to specify a validation plan and define alert thresholds during framework operationalization. This ensures the predictive indicators genuinely forecast lagging outcomes and trigger actionable alerts for product teams.