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| Criterion |  Operations PDCA Cycle |  Knowledge Modeling Feynman Technique |  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. | The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work. | 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 | 20-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 1 | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Plain-language Explanation, Knowledge Gaps, Study Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | LearningKnowledgeUnderstanding | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
