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| Criterion |  Operations Fishbone Diagram |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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. | 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. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 30-60 min | 45-60 min | 2-6 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 3-10 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | Root causeQualityOperations | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation |