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zpower426zpower426/pmpowers/skills/north-star-metric/SKILL.md

north-star-metric

Skill0 starsChanged 7 months agoMITView on GitHub

Define, deconstruct, and align the product's core value metric (North Star Metric). Ensure all team efforts point to a single source of value.

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SKILL.md

North Star Metric: Value-Driven Metric Definition Manual

The North Star Metric is the single best metric that captures the core value that your product delivers to its customers. It is a leading indicator of long-term business success.

Checklist

  1. Define Aha Moment — At what moment does the user realize the product's indispensability?
  2. Select North Star Metric (NSM) — Must embody: Value representation, Longevity, and be a Leading (not lagging) indicator.
  3. Deconstruct Metric Hierarchy — Break the NSM down into actionable Input Metrics (L1/L2).
  4. Align Validation Matrix — Check if the metric meets the "Healthy Metric Standards" below.
  5. Publish and Sync — Archive the metric definition to docs/pmpowers/specs/.

Metric Hierarchy Architecture

  • North Star Metric (NSM): Core Outcome (e.g., Airbnb's "Nights Booked").
  • L1 Input Metrics (Core Dimensions):
    • Reach: How many people came?
    • Activation: How many people felt the value?
    • Engagement: What is the frequency?
    • Retention: Did they come back?
  • L2 Metrics (Specific Changes): Metrics related to specific features (e.g., Search Conversion Rate, Page Load Speed).

Healthy Metric Validation Matrix

DimensionCheckpointStatus
Value-basedWhen the metric goes up, does the user get more value?[ ]
LeadingCan this metric predict revenue changes 3-6 months in advance?[ ]
SingularityCan the team rely on it when multiple metrics conflict?[ ]
ActionabilityCan we directly influence it through product changes?[ ]

Anti-Patterns

  • Vanity Metrics: Such as "Registered Users" or "Page Views." They always go up but fail to explain value.
  • Lagging Metrics: Such as "Revenue" or "Profit." By the time you see them drop, it's too late.
  • Compound Metrics: Overly complex mathematical formulas that the team cannot intuitively understand.

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