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| Criterion |  Agile Acceptance Criteria Workshop |  Agile Example Mapping |  Engineering Kanban |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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 | Low | Medium | High |
Timedifferent | 20-40 min pro Story | 30-60 min | Ongoing | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-6 | 3-7 | 2-12 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Acceptance Criteria, Story Update | Example Map, Acceptance Criteria, Open Questions | Kanban board, WIP policies, Flow metrics | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | AgileRequirementsRefinementBehavior-Driven Development | Behavior-Driven DevelopmentRequirementsExamplesRefinement | FlowVisual managementDelivery | ForecastingFlowDelivery |