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| Criterion |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |  Growth Funnel Analysis |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 | 1-4 Wochen | 2-6 h | 1-3 h | 45-60 min |
Participantsdifferent | 1-6 | 3-10 | 1-5 | 2-8 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions | Funnel report, Drop-off analysis, Optimization hypotheses | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause | AnalyticsConversionGrowth | AssumptionsRiskExperimentsValidation |