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| Criterion |  Agile NoEstimates |  Knowledge Modeling Knowledge Mapping |  Delivery Monte Carlo Forecasting |  Facilitation Dot Estimation |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 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 | laufend | 1-3 h | 30-90 min Setup, danach laufend | 5-20 min |
Participantsdifferent | 2-12 | 3-12 | 1-8 | 3-20 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | EstimationForecastingFlow | KnowledgeMappingRisk | ForecastingFlowDelivery | EstimationEffortRisk |