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Criterion
Paper illustration for RAPID
Decision Making
RAPID
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi 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
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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
MediumHighMediumLow
Timedifferent
45-90 min1-4 Wochen30-90 min1-2 h
Participantsdifferent
3-126-30 Experten1-62-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
RAPID Role Map, Recommendation, Decision LogExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tags1 shared
DecisionRolesGovernance
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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