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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations Bottleneck Analysis |  Operations After-Action Review |  Knowledge Modeling Feynman Technique |
|---|---|---|---|---|
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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 1-3 h | 20-45 min | 20-60 min |
Participantsdifferent | 2-8 | 3-8 | 3-12 | 1 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Lessons learned, Action items, Event summary | Plain-language Explanation, Knowledge Gaps, Study Notes |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | FlowMeasurementConstraints | LearningOperationsImprovement | LearningKnowledgeUnderstanding |