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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Decision Making Wideband Delphi |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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 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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Ongoing | 1-4 h or multiple rounds | 1-3 h |
Participantsdifferent | 1-8 | 2-12 | 4-12 Experten | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Estimate Range, Assumption Log, Expert Consensus Notes | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | FlowVisual managementDelivery | EstimationExpertsForecasting | LeanFlowWasteDelivery |