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| Criterion | ![]() Delivery Monte Carlo Forecasting | ![]() Delivery Cost of Delay | ![]() Decision Making Delphi Method | ![]() 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. | 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. | 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 | High | High | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 90-180 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 1-8 | 3-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | CoD Table, Prioritization Sequence | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationDeliveryEconomicsDecision | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



