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| Criterion |  Engineering Kanban |  Agile WSJF |  Delivery MoSCoW |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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. | 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. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | Ongoing | 45-90 min | 30-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 3-10 | 3-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Ranked Backlog, Cost-of-Delay Assumptions | Prioritized Backlog, Release Scope, Tradeoff Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | LeanEconomicsSequencePrioritization | PrioritizationScopeDecision | ForecastingFlowDelivery |