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| Criterion |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  Systems Thinking Systems Mapping |  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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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 | laufend | 1-3 h | Half day |
Participantsdifferent | 1-8 | 2-12 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | System Map, Dependencies, Leverage Points | Leverage Map, Action Strategy |
Tagsno overlap | ForecastingFlowDelivery | EstimationForecastingFlow | Systems thinkingMappingBoundariesChange | Systems thinkingChangeStrategy |