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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery MoSCoW |  Decision Making Delphi Method |  Delivery Cost of Delay |
|---|---|---|---|---|
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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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. | 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 | High | Low | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-8 | 3-12 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Prioritized Backlog, Release Scope, Tradeoff Notes | Expert Forecast, Consensus Range, Assumption Notes | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationScopeDecision | ForecastingExpertsDecisionStrategy | PrioritizationDeliveryEconomicsDecision |