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| Criterion |  Decision Making Decision Tree |  Knowledge Modeling Feynman Technique |  Operations Root Cause Analysis |  Operations Kepner-Tregoe |
|---|---|---|---|---|
Purposedifferent | 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 30-90 min | 20-60 min | 1-4 h | 2-8 h |
Participantsdifferent | 1-6 | 1 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Plain-language Explanation, Knowledge Gaps, Study Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | DecisionTreeOptions | LearningKnowledgeUnderstanding | Root causeProblem solvingQualityIncident | Problem solvingRoot causeDecisionOperations |