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Advanced experiment strategy: portfolio of bets, causal inference pitfalls, ethics at scale, and connecting tests to roadmap decisions. Mix of single-answer and multiple-answer items.
Designing product experiments: riskiest assumptions, experiment selection, sample and novelty effects, and interpreting mixed results. Mix of single-answer and multiple-answer items.
Foundations of product hypothesis testing: falsifiable statements, cheap experiments, success/kill criteria, and common experiment types. Mix of single-answer and multiple-answer items.
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