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| Criterion | ![]() Operations DMAIC | ![]() Decision Making Pre-Mortem | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 2-12 Wochen | 20–45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-10 | Small cross-functional group | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Continuous improvementQualityProcess improvement | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



