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Connect qualitative discovery to experiment design: from interview synthesis and testable hypotheses to metrics, audience fit, guardrails, and interpreting A/B results against user evidence.
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.
Advanced OST facilitation: multi-outcome portfolios, assumption mapping, discovery cadence, and anti-patterns in scaling product teams. Mix of single-answer and multiple-answer items.
Working with OSTs in practice: framing opportunities, comparing branches, linking interviews to experiments, and avoiding solution bias. Mix of single-answer and multiple-answer items.
Basics of Teresa Torres-style Opportunity Solution Trees: outcomes, opportunities, solutions, and experiments. Mix of single-answer and multiple-answer items.
Advanced interview craft: bias control, multi-stakeholder B2B research, synthesis rigor, and research ops trade-offs. Mix of single-answer and multiple-answer items.
Interview design for discovery: sampling, moderator technique, synthesis, and when to pair interviews with other evidence. Mix of single-answer and multiple-answer items.
Foundations of customer interviews: recruiting, open questions, common biases, and turning notes into insights. Mix of single-answer and multiple-answer items.
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