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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery MoSCoW |  Engineering Kanban |
|---|---|---|---|
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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | Ongoing |
Participantsdifferent | 1-8 | 3-12 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Prioritized Backlog, Release Scope, Tradeoff Notes | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationScopeDecision | FlowVisual managementDelivery |
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