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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for RAPID
Decision Making
RAPID
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for DACI
Decision Making
DACI
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.In complex management decisions, clarity is often missing about who recommends, who agrees, and who makes the decision. RAPID creates this assignment and stabilizes decisions across several levels.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
LowMediumMediumLow
Timedifferent
1-2 h45-90 min30-90 min30-60 min
Participantsdifferent
2-83-121-62-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportRAPID Role Map, Recommendation, Decision LogDecision Tree, Option Map, Assumption ListDACI Matrix, Decision Owner, Decision Log
Tags1 shared
StrategyDecisionAssumptionsHypothesis
DecisionRolesGovernance
DecisionTreeOptions
DecisionRolesGovernanceAlignment
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