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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Option Framing |  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. | In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question. | 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 | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 45-120 min | Ongoing |
Participantsdifferent | 1-8 | 3-8 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | OptionsDecision framingStrategyComparison | FlowVisual managementDelivery |
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