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| Criterion |  Product Discovery Smoke Test |  Operations MORT Analysis |  Growth A/B Testing |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 1-5 Tage | Mehrere Tage bis Wochen | 1-4 Wochen | 15-30 min |
Participantsdifferent | Nutzertraffic | 2-6 | 1-6 | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures |
Tagsno overlap | ValidationExperimentsDemandGrowth | Root causeSafetySystemicIncident | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving |