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| Criterion |  Delivery Monte Carlo Forecasting |  Agile Starfish Retrospective |
|---|---|---|
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 improvement options need to be sorted more finely than just start and stop, it brings observations into clear kinds of action. This makes visible what should be done more, less, newly, or continued. |
Complexitydifferent | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min |
Participantsdifferent | 1-8 | 4-12 |
Formatdifferent | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Starfish Board, Practice Changes, Experiments |
Tagsno overlap | ForecastingFlowDelivery | RetrospectiveImprovementExperimentsTeam |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
