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| Criterion |  Operations Change Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 |
Timedifferent | 45-120 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-6 | 1-8 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
