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| Criterion |  Knowledge Modeling Feynman Technique |  Operations Kaizen Event |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 20-60 min | 0.5-5 Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1 | 4-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LearningKnowledgeUnderstanding | LeanContinuous improvementOperations | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |