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Criterion
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
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
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.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.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.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.
Complexitydifferent
HighLowHighHigh
Timedifferent
1-4 Wochen1-2 h30-90 min Setup, danach laufend90-180 min
Participantsdifferent
6-30 Experten2-81-83-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportForecast Percentiles, Throughput Dataset, Risk CommunicationCoD Table, Prioritization Sequence
Tagsno overlap
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
ForecastingFlowDelivery
PrioritizationDeliveryEconomicsDecision
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