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| Criterion |  Knowledge Modeling Feynman Technique |  Operations PDCA Cycle |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 20-60 min | 1 h bis mehrere Wochen | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 1 | 1-8 | 1-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | LearningKnowledgeUnderstanding | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |