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Criterion
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.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
2-6 h45-90 min1-3 h1-2 h
Participantsdifferent
2-82-83-122-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Event Model, UI Flow, Commands, Read ModelsAssumption List, Critical Assumptions, Learning PlanKnowledge Map, Critical Knowledge Areas, Transfer PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EventsBlueprintDomain-Driven DesignBehavior
AssumptionsRiskDecisionDiscovery
KnowledgeMappingRisk
StrategyDecisionAssumptionsHypothesis
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