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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Delivery MoSCoW |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | laufend | 30-90 min Setup, danach laufend | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-12 | 1-8 | 3-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Prioritized Backlog, Release Scope, Tradeoff Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | PrioritizationScopeDecision | ForecastingExpertsDecisionStrategy |