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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Agile Example Mapping |  Agile Specification by Example |
|---|---|---|---|---|
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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Ongoing | 30-60 min | 60-90 min pro Feature |
Participantsdifferent | 1-8 | 2-12 | 3-7 | 3-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Example Map, Acceptance Criteria, Open Questions | Example Table, Acceptance Tests |
Tagsno overlap | ForecastingFlowDelivery | FlowVisual managementDelivery | Behavior-Driven DevelopmentRequirementsExamplesRefinement | AgileRequirementsExamplesBehavior-Driven Development |