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Criterion
Paper illustration for ABC Analysis
Operations
ABC Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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
With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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.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
LowMediumHighLow
Timedifferent
30-60 min30-90 min1-4 Wochen1-2 h
Participantsdifferent
1-51-66-30 Experten2-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
ABC Classification, Focus Rules, Control ListDecision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
PrioritizationOperationsPortfolio
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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