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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Leverage Points |  Domain Modeling Context Map |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | 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 | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Half day | 1-3 h | 1-3 h |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Leverage Map, Action Strategy | Context Map, Integration Patterns, Boundary Notes | System Map, Dependencies, Leverage Points |
Tagsno overlap | ForecastingFlowDelivery | Systems thinkingChangeStrategy | Domain-Driven DesignBoundariesStrategy | Systems thinkingMappingBoundariesChange |