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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Operations MORT Analysis |  Operations Barrier 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. | 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | Mehrere Tage bis Wochen | 2-4 h |
Participantsdifferent | 1-6 | Nutzertraffic | 2-6 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | Root causeSafetySystemicIncident | Root causeSafetyIncident |