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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling Feynman Technique |  Decision Making Eisenhower Matrix |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 1-2 h | 20-60 min | 15-30 min | 30-60 min |
Participantsdifferent | 2-8 | 1 | 1-6 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Plain-language Explanation, Knowledge Gaps, Study Notes | Eisenhower Matrix, Action List, Delegation Notes | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | LearningKnowledgeUnderstanding | PrioritizationFocusTasks | PrioritizationQualityFocusRoot cause |