The Product Analytics Handbook
Twelve chapters covering everything a product manager needs to measure, analyze, and act on product data. From setting up your first metrics framework to building a data-informed culture across your team.
What You'll Learn
Define metrics that matter
Set up AARRR, North Star, and HEART frameworks tailored to your product stage and business model.
Instrument your product correctly
Design an event taxonomy that captures user behavior without drowning in noise.
Run valid experiments
Calculate sample sizes, set up A/B tests, and interpret results without a statistics PhD.
Diagnose retention and churn
Build cohort analyses and retention curves that pinpoint where and why users drop off.
Build dashboards that drive action
Design dashboards stakeholders actually use, organized by decision rather than data source.
Create a data-informed culture
Move your team from gut instinct to evidence-based product decisions without slowing down.
12 Chapters Inside
Product Analytics Fundamentals for PMs
Establish the core concepts: what product analytics measures, how it differs from business intelligence, and the mental models that separate data-informed PMs from data-drowning ones.
Setting Up Your Metrics Framework
Learn three proven frameworks for organizing product metrics, how to pick the right one for your product stage, and how to cascade a single North Star Metric into team-level KPIs.
Event Tracking: What to Track and How
Learn how to design a clean event taxonomy, choose between auto-track and manual instrumentation, and avoid the tracking debt that cripples most analytics setups.
Funnel Analysis and Conversion Optimization
Master funnel construction, identify where users drop off, calculate conversion rates correctly, and prioritize fixes that move business metrics.
Who This Guide Is For
Product Managers
PMs who want to move beyond vanity metrics and make product decisions backed by real user data.
Product Leaders
VPs and Directors who need to establish analytics practices, set team-wide KPIs, and review dashboards with confidence.
Growth & Data-Adjacent PMs
Growth PMs, analysts transitioning to product, and anyone who collaborates with data teams and needs shared vocabulary.
Tim Adair has led product teams at early-stage startups and growth-stage companies, shipping analytics infrastructure, experimentation platforms, and data-informed product strategies.