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| Criterion |  Knowledge Modeling Knowledge Mapping |  Delivery Monte Carlo Forecasting |  Decision Making Three-Point Estimation |  Facilitation Dot Estimation |
|---|---|---|---|---|
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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 | High | Medium | Low |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 10-30 min je Item | 5-20 min |
Participantsdifferent | 3-12 | 1-8 | 1-8 | 3-20 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Three-Point Estimate, Risk Range, Assumption Notes | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | KnowledgeMappingRisk | ForecastingFlowDelivery | EstimationUncertaintyForecasting | EstimationEffortRisk |