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| Criterion |  Growth A/B Testing |  Operations ABC Analysis |  Operations PDCA Cycle |  Operations A3 Problem Solving |
|---|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 1 h bis mehrere Wochen | 45-90 min |
Participantsdifferent | 1-6 | 1-5 | 1-8 | 2-5 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | ABC Classification, Focus Rules, Control List | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationOperationsPortfolio | Continuous improvementLeanExperiments | LeanProblem solvingCoachingOperations |