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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
Domain Modeling
Bounded Context Canvas
Purposedifferent
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.When a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
1-2 h30-90 min1-3 h1-3 h
Participantsdifferent
2-81-62-83-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption ListContext Map, Integration Patterns, Boundary NotesContext Canvas, Glossary, Integration Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
Domain-Driven DesignBoundariesStrategy
Domain-Driven DesignBoundariesModeling
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