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| Criterion |  Delivery Monte Carlo Forecasting |  Domain Modeling Bounded Context Canvas |  Systems Thinking Future Reality Tree |  Systems Thinking Systems Mapping |
|---|---|---|---|---|
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 a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 2-4 h | 1-3 h |
Participantsdifferent | 1-8 | 3-8 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Context Canvas, Glossary, Integration Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | System Map, Dependencies, Leverage Points |
Tagsno overlap | ForecastingFlowDelivery | Domain-Driven DesignBoundariesModeling | Theory of ConstraintsSystems thinkingChange | Systems thinkingMappingBoundariesChange |