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Product Metrics curriculum

Product sense and metric case studies: North Stars, retention, funnels and diagnosing metric drops.

define → decompose → segment → diagnose → trade off → recommend

0 / 15 lessons completed

Start with North Star metrics & metric trees

Milestone 1 · Foundations

Beginner

Start here — the syntax and mental models everything else builds on.

  1. 1

    Metric foundations

    ~14 min · 3 lessons

    Choose a North Star and break it into metrics teams can move.

    North Starmetric treeproxyvanity
  2. 2

    Engagement, retention & churn

    ~16 min · 3 lessons

    Measure how often users come back and why they leave.

    DAU/MAUcohortschurnNRR

Milestone 2 · Real-world data

Intermediate

Combine data from several places and reshape it into answers.

  1. 1

    Funnels & cannibalization

    ~15 min · 3 lessons

    Find where users drop off and read misleading totals correctly.

    funnelcannibalizationSimpson's

Milestone 3 · Interview-ready

Advanced

The techniques that show up in real interviews and real pipelines.

  1. 1

    Diagnosing a metric drop

    ~19 min · 3 lessons

    Answer 'metric X dropped — why?' with a clear framework.

    root causesegmentseasonalitycase study
  2. 2

    Trade-offs & launch decisions

    ~17 min · 3 lessons

    Weigh trade-offs and defend a launch recommendation.

    guardrailsmarketplaceliquidityship call