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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Scenario Planning method illustration showing its working structure
Business Strategy
Scenario Planning
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path.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.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
MediumHighHighLow
Timedifferent
30-90 min0.5-2 Tage1-4 Wochen1-2 h
Participantsdifferent
1-64-126-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListScenario Set, Strategic Implications, Robust OptionsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
DecisionTreeOptions
StrategyUncertaintyPlanning
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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