Product managers make bets every day. You rarely have enough data. User research is messy. A/B tests are underpowered. Stakeholders disagree. And yet you still have to decide. Decide Before You're Certain gives product managers a practical Bayesian framework for making better decisions under uncertainty. Instead of pretending the data speaks for itself, you will learn how to combine prior knowledge, new evidence, and real-world consequences to make decisions you can defend. Through concrete product examples, simple math, and spreadsheet-friendly tools, Adrian Keller shows how to: - turn intuition into explicit priors - interpret small-sample evidence without overreacting - read A/B tests beyond p-values - decide when more data is worth waiting for - prioritize uncertain product bets - forecast roadmaps with ranges instead of false precision - align teams around thresholds, tradeoffs, and learning The book follows one practical loop: Prior -> Evidence -> Posterior -> Stakes -> Decision -> Outcome -> New Prior. The goal is not perfect prediction. The goal is better judgment. A practical guide for product managers, founders, product analysts, and decision-makers who need to act before certainty arrives.
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