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| Criterion | ![]() Operations PDCA Cycle | ![]() Delivery MoSCoW | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min | 1-4 Wochen | 45-60 min |
Participantsdifferent | 1-8 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritized Backlog, Release Scope, Tradeoff Notes | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Continuous improvementLeanExperiments | PrioritizationScopeDecision | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



