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| Criterion |  Operations A3 Problem Solving |  Growth Growth Experiment |  Operations PDCA Cycle |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Medium | Medium | Low | High |
Timedifferent | 45-90 min | 1-2 Wochen | 1 h bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 2-5 | 1-6 | 1-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | A3 Report, Action Plan, Root Cause Analysis | Experiment card, Result summary, Next bet | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanProblem solvingCoachingOperations | MarketingGrowthExperimentsLearning | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation |