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| Criterion |  Product Discovery Smoke Test |  Operations Fault Tree Analysis |  Operations Barrier Analysis |  Growth A/B Testing |
|---|---|---|---|---|
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 critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. | 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 | High | Medium | High |
Timedifferent | 1-5 Tage | 2-6 h | 2-4 h | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 3-8 | 2-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | RiskRoot causeSafety | Root causeSafetyIncident | ExperimentsGrowthAnalyticsValidation |