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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.
Complexitydifferent
LowLowLowMedium
Timedifferent
1-2 h20-60 min1-2 h1-3 h
Participantsdifferent
2-812-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativePlain-language Explanation, Knowledge Gaps, Study NotesDIBB document, Belief list, Bet list, Learning reportContext Map, Integration Patterns, Boundary Notes
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
LearningKnowledgeUnderstanding
StrategyDecisionAssumptionsHypothesis
Domain-Driven DesignBoundariesStrategy
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