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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Facilitation Alignment 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. | When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Ongoing | 1-2 h |
Participantsdifferent | 1-8 | 2-12 | 4-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Alignment Map, Open Issues, Decision Questions |
Tagsno overlap | ForecastingFlowDelivery | FlowVisual managementDelivery | AlignmentStakeholdersStrategyFacilitation |
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