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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Time Blocking
Operations
Time Blocking
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
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.With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure.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
HighLowMediumLow
Timedifferent
1-4 Wochen15-30 min Planung, laufend30-90 min1-2 h
Participantsdifferent
6-30 Experten11-62-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesBlocked Calendar, Capacity View, Focus PlanDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
PlanningTime managementFocus
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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