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| Criterion |  Operations PDCA Cycle |  Delivery MoSCoW |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | Low | Low | High |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritized Backlog, Release Scope, Tradeoff Notes | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | PrioritizationScopeDecision | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |