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| Criterion |  Delivery Monte Carlo Forecasting |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Concept Mapping |  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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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 | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 1-2 h | 1-3 h |
Participantsdifferent | 1-8 | 3-12 | 1-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Concept Map, Relationship Labels, Knowledge Gaps | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | KnowledgeMappingRisk | KnowledgeConceptsMappingSensemaking | LeanFlowWasteDelivery |