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| Criterion |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Assumption Surfacing |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 60-90 min | 45-90 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 2-6 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Assumption List, Critical Assumptions, Learning Plan | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | ExperimentsValidationDiscoveryAssumptions |