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| Criterion |  Knowledge Modeling Feynman Technique |  Decision Making Pareto Analysis |  Operations 5 Whys |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 20-60 min | 30-60 min | 15-30 min | 1-3 h |
Participantsdifferent | 1 | 1-6 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Pareto Chart, Top Causes, Focus List | Root cause notes, Countermeasures | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | LearningKnowledgeUnderstanding | PrioritizationQualityFocusRoot cause | Root causeIncidentLeanProblem solving | Root causeTreeIncidentQuality |