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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Decision Rights Mapping with its method-specific working model.
Decision Making
Decision Rights Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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.In organizations with many stakeholders, it often blurs who actually decides and who is merely consulted. It separates options, evaluation criteria, and open risks. The result is captured as a Decision Rights matrix and an agreement.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
HighHighMediumLow
Timedifferent
30-90 min Setup, danach laufend1-4 Wochen90-180 min1-2 h
Participantsdifferent
1-86-30 Experten4-122-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption NotesDecision Rights Matrix, AgreementDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
DecisionGovernanceAlignmentResponsibility
StrategyDecisionAssumptionsHypothesis
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