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| Criterion | ![]() Knowledge Modeling Feynman Technique | ![]() Knowledge Modeling Teach-back | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Low | Low | High |
Timedifferent | 20-60 min | 5-20 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 1 | 2-8 | 1-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Understanding Check, Clarification Notes, Learning Gaps | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LearningKnowledgeUnderstanding | LearningUnderstandingCommunication | ForecastingFlowDelivery |
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