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Criterion
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration for ALPEN Method
Operations
ALPEN Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 h10-20 min daily30-90 min1-2 h
Participantsdifferent
2-811-62-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Context Map, Integration Patterns, Boundary NotesDaily Plan, Time Estimates, Review NotesDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Domain-Driven DesignBoundariesStrategy
PlanningTime managementProductivityOperations
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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