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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Systems Mapping |  Systems Thinking Evaporating Cloud |  Systems Thinking Leverage Points |
|---|---|---|---|---|
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. | 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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 60-120 min | Half day |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | System Map, Dependencies, Leverage Points | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Leverage Map, Action Strategy |
Tagsno overlap | ForecastingFlowDelivery | Systems thinkingMappingBoundariesChange | Theory of ConstraintsAssumptionsSystems thinking | Systems thinkingChangeStrategy |