Data-Driven Decision Making
Move beyond gut instinct. Learn how to design experiments, run A/B tests, and use data to validate product hypotheses — while avoiding the common biases that lead teams astray.
A/B Testing for Product Managers — The Complete Guide
Everything you need to know about running meaningful experiments: hypothesis formation, sample size calculation, statistical significance, and the common mistakes that invalidate results.
Cognitive Biases That Kill Product Decisions
Confirmation bias, survivorship bias, anchoring, and the sunk cost fallacy — how these mental shortcuts lead PMs to bad decisions, and frameworks to counteract each one in your product process.
How to Build a Culture of Experimentation
It's not enough to run one A/B test. Learn how to create an experimentation culture on your team — including how to get buy-in from leadership, set up a test backlog, and learn from failures.
Experiment Planning Template (XLSX)
A spreadsheet template for planning and tracking product experiments. Includes columns for hypothesis, metric, test design, sample size, results, and learnings.
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