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| Criterion |  Delivery Monte Carlo Forecasting |  Agile Specification by Example |  Agile Acceptance Criteria Workshop |
|---|---|---|---|
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 a story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 60-90 min pro Feature | 20-40 min pro Story |
Participantsdifferent | 1-8 | 3-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Example Table, Acceptance Tests | Acceptance Criteria, Story Update |
Tagsno overlap | ForecastingFlowDelivery | AgileRequirementsExamplesBehavior-Driven Development | AgileRequirementsRefinementBehavior-Driven Development |
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