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| Criterion |  Operations Fishbone Diagram |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 30-60 min | 1-4 Wochen | 2-6 h | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 3-10 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Root causeQualityOperations | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause | ValidationExperimentsDemandGrowth |