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| Criterion |  Growth A/B Testing |  Operations Root Cause Tree Analysis |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 1-3 h | 45-60 min | 2-6 h |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 3-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Cause Tree, Evidence Notes, Countermeasures | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeTreeIncidentQuality | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause |