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| Criterion |  Operations Fault Tree Analysis |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 2-6 h | 1-4 Wochen | 60-90 min | 45-60 min |
Participantsdifferent | 3-8 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |