Data, Data, Data
You can't manage what you don't measure. This section covers the metrics, KPIs, and analytics fundamentals every product manager needs to make informed decisions and tell compelling data stories.
10 Metrics Every PM Should Track
From DAU/MAU to churn rate, NPS to revenue per user — a breakdown of the 10 most important product metrics, when each matters most, and how to interpret them without falling into vanity metric traps.
How to Read a Funnel — And What to Do When It Breaks
A practical guide to understanding conversion funnels. Learn how to identify drop-off points, diagnose root causes (UX friction, value confusion, technical bugs), and prioritize fixes based on impact.
Product Analytics for PMs — Where to Start
An overview of analytics tools and techniques for PMs who aren't data scientists. Covers event tracking setup, cohort analysis basics, and how to ask the right questions of your data team.
Vanity Metrics vs. Actionable Metrics
Not all numbers are created equal. Learn the difference between metrics that make you feel good and metrics that drive decisions. Includes a framework for evaluating whether a metric is truly actionable.