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| Criterion |  Delivery Value Stream Mapping |  Knowledge Modeling IBIS |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 | Medium | High |
Timedifferent | 1-3 h | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Issue Map, Positions, Argument Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | RationaleKnowledgeDecision | ForecastingFlowDelivery |
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