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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling Feynman Technique |  Decision Making Pareto Analysis |  Operations Failure Mode and Effects 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. | 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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 1-2 h | 20-60 min | 30-60 min | 2-6 h |
Participantsdifferent | 2-8 | 1 | 1-6 | 3-10 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Plain-language Explanation, Knowledge Gaps, Study Notes | Pareto Chart, Top Causes, Focus List | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | LearningKnowledgeUnderstanding | PrioritizationQualityFocusRoot cause | RiskQualityOperationsRoot cause |