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| Criterion |  Knowledge Modeling Concept Mapping |  Decision Making PERT Estimation |  Delivery Monte Carlo Forecasting |  Facilitation Dot Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-2 h | 15-45 min | 30-90 min Setup, danach laufend | 5-20 min |
Participantsdifferent | 1-8 | 1-8 | 1-8 | 3-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | PERT Estimate, Expected Value, Risk Notes | Forecast Percentiles, Throughput Dataset, Risk Communication | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | EstimationUncertaintyRisk | ForecastingFlowDelivery | EstimationEffortRisk |