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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowMediumLowMedium
Timedifferent
20–45 min2-6 h1-2 h45-60 min
Participantsdifferent
Small cross-functional group2-82-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logEvent Model, UI Flow, Commands, Read ModelsDIBB document, Belief list, Bet list, Learning reportAssumption map, Test backlog, Risk ranking
Tagsno overlap
RiskDecisionFailurePlanning
EventsBlueprintDomain-Driven DesignBehavior
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskExperimentsValidation
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