AI Metrics & Analytics for PMs

What to measure in AI products. Accuracy, latency, user trust, hallucination rate, and business KPIs.

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  • Docs30 min

    Google PAIR - People + AI guidebook

    Human review loops and quality rubrics.

    Open resource
  • Article24 min

    Microsoft - Responsible AI metrics

    Fairness, reliability, and privacy KPIs.

    Open resource
  • Docs22 min

    Mixpanel - Product analytics for AI features

    Activation and retention when outputs vary.

    Open resource
  • Article26 min

    Amplitude - Experimentation primer

    A/B testing nondeterministic experiences.

    Open resource
  • Docs20 min

    OpenAI - Evals documentation

    Model quality metrics PMs should understand.

    Open resource
  • Article28 min

    Harvard Data Science Review - Trust metrics

    Measuring user confidence in AI systems.

    Open resource
  • Article18 min

    Klaviyo - Marketing lift testing

    Incremental value of AI personalization.

    Open resource
  • Docs30 min

    Snowflake - Data quality for ML features

    Upstream data health impacting model KPIs.

    Open resource
  • Article20 min

    Looker - Executive dashboards

    Storytelling with AI cost and outcome metrics.

    Open resource

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