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| Criterion |  Operations DMAIC |  Product Discovery Smoke Test |  Decision Making DACI |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | 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. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | 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 | High | Low | Low | High |
Timedifferent | 2-12 Wochen | 1-5 Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | Nutzertraffic | 2-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Interest Metrics, Conversion Signal, Learning Note | DACI Matrix, Decision Owner, Decision Log | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementQualityProcess improvement | ValidationExperimentsDemandGrowth | DecisionRolesGovernanceAlignment | ExperimentsGrowthAnalyticsValidation |