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| Criterion |  Knowledge Modeling Knowledge Mapping |  Decision Making PERT Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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 | 15-45 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-12 | 1-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | PERT Estimate, Expected Value, Risk Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | KnowledgeMappingRisk | EstimationUncertaintyRisk | ForecastingFlowDelivery |
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