Metrics Tracking

What it does

This skill empowers AI agents to assist product managers with defining, tracking, analyzing, and acting on key performance indicators (KPIs). It helps build metrics frameworks, set goals, conduct reviews, and design dashboards for data-driven decision making. The skill focuses on establishing a hierarchy of metrics, starting with a North Star Metric and progressing to L1 Health Indicators across acquisition, activation, and engagement phases.

When to use it

• When you need help defining your product's North Star Metric.
• To identify the 5-7 key "Health Indicator" (L1) metrics for your product.
• For assistance in designing dashboards that effectively visualize and communicate performance data.
• When conducting a review of current product metrics and identifying areas for improvement.

Key capabilities

• North Star Metric Definition: Guides the user to define a value-aligned, leading, actionable, and understandable North Star Metric.
• L1 Metrics Identification: Helps identify key health indicators across acquisition, activation, and engagement stages.
• Metrics Framework Development: Assists in building a comprehensive metrics framework for product management.
• Dashboard Design Guidance: Provides insights into designing effective dashboards to track and visualize KPIs.

Example prompts

• "Help me define the North Star Metric for our collaboration tool."
• "What are some key L1 metrics we should be tracking for user acquisition?"
• "Can you suggest a dashboard design to monitor weekly active teams contributing to our product?"
• “We want to improve activation. What metrics should we focus on?”

Tips & gotchas

• The skill is designed specifically for product managers and those involved in defining and tracking product performance.
• It focuses on defining and analyzing metrics, not necessarily collecting or storing the data itself.
• Consider your product type when brainstorming North Star Metrics – examples are provided to guide you.