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| Criterion |  Growth A/B Testing |  Product Discovery Assumption Mapping |  Operations Barrier Analysis |  Operations Fault Tree Analysis |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 45-60 min | 2-4 h | 2-6 h |
Participantsdifferent | 1-6 | 2-8 | 2-6 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation | Root causeSafetyIncident | RiskRoot causeSafety |