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| Criterion |  Systems Thinking Evaporating Cloud |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. | 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 | Medium | Medium | High |
Timedifferent | 60-120 min | laufend | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 2-12 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Theory of ConstraintsAssumptionsSystems thinking | EstimationForecastingFlow | ForecastingFlowDelivery |
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