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| Criterion |  Agile Example Mapping |  Agile NoEstimates |  Agile Three Amigos |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | 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. | When story, test, and implementation could drift apart, it brings business perspective, engineering, and quality together early. It prevents a story from being read differently only late in the process. | 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 30-60 min | laufend | 15-30 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-7 | 2-12 | 3 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Throughput Data, Flow Forecast, Slicing Rules | Clarified Story, Test Examples, Open Questions | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | EstimationForecastingFlow | CollaborationBehavior-Driven DevelopmentQualityRefinement | ForecastingFlowDelivery |