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| Criterion |  Knowledge Modeling Knowledge Mapping |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |
|---|---|---|---|
Purposedifferent | 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. | 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | High | High |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 3-12 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | KnowledgeMappingRisk | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy |
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