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| Criterion |  Delivery Monte Carlo Forecasting |  Agile Specification by Example |  Facilitation Dot Estimation |
|---|---|---|---|
Purposedifferent | 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 business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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 | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 60-90 min pro Feature | 5-20 min |
Participantsdifferent | 1-8 | 3-6 | 3-20 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Example Table, Acceptance Tests | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | ForecastingFlowDelivery | AgileRequirementsExamplesBehavior-Driven Development | EstimationEffortRisk |
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