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| Criterion |  UX Design Design Studio |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |
|---|---|---|---|
Purposedifferent | When several designs need to be quickly put in relation to each other, it makes ideas visible and comparable. It encourages early variants instead of long upfront debates. | 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 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | laufend |
Participantsdifferent | 3-8 | 1-8 | 2-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Sketches, Concept Directions, Design Decisions | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | SketchingCollaborationIdeation | ForecastingFlowDelivery | EstimationForecastingFlow |
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