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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Feynman Technique.
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.When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.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
LowMediumLowLow
Timedifferent
1-2 h1-3 h20-45 min20-60 min
Participantsdifferent
2-82-83-121
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeContext Map, Integration Patterns, Boundary NotesLessons learned, Action items, Event summaryPlain-language Explanation, Knowledge Gaps, Study Notes
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
Domain-Driven DesignBoundariesStrategy
LearningOperationsImprovement
LearningKnowledgeUnderstanding
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