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| Criterion |  Operations DMAIC |  Product Discovery Assumption Mapping |  Operations PDCA Cycle |  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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Medium | Low | High |
Timedifferent | 2-12 Wochen | 45-60 min | 1 h bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 3-10 | 2-8 | 1-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Assumption map, Test backlog, Risk ranking | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementQualityProcess improvement | AssumptionsRiskExperimentsValidation | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation |