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| Criterion | ![]() Agile NoEstimates | ![]() Systems Thinking Intervention Mapping | ![]() 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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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 | High | Medium | High |
Timedifferent | laufend | 1-5 Tage | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 4-12 | 3-8 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | ChangeSystems thinkingCapability | FlowMeasurementConstraints | ForecastingFlowDelivery |



