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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Decision Tree |  Knowledge Modeling Feynman Technique |
|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 20-60 min |
Participantsdifferent | 1 | 1-6 | 1 |
Formatdifferent | Async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Decision Tree, Option Map, Assumption List | Plain-language Explanation, Knowledge Gaps, Study Notes |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | LearningKnowledgeUnderstanding |
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