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| Criterion | ![]() Operations PDCA Cycle | ![]() Operations After-Action Review | ![]() 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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 | High |
Timedifferent | 1 h bis mehrere Wochen | 20-45 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Lessons learned, Action items, Event summary | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | LearningOperationsImprovement | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.






