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| Criterion |  Agile NoEstimates |  Systems Thinking Evaporating Cloud |  Operations Bottleneck Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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 | Medium | High |
Timedifferent | laufend | 60-120 min | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 2-8 | 3-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | Theory of ConstraintsAssumptionsSystems thinking | FlowMeasurementConstraints | ForecastingFlowDelivery |