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| Criterion |  Operations PDCA Cycle |  Agile WSJF |  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 many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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 | High | Low | High |
Timedifferent | 1 h bis mehrere Wochen | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Ranked Backlog, Cost-of-Delay Assumptions | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | LeanEconomicsSequencePrioritization | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |