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| Criterion |  Operations Root Cause Tree Analysis |  Growth A/B Testing |  Innovation Lean Startup |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | High | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | Wochen bis Monate je Lernzyklus | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Experiment results, Decision log, Learning summary | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Root causeTreeIncidentQuality | ExperimentsGrowthAnalyticsValidation | LeanStartupValidationMVP | ValidationExperimentsDemandGrowth |