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| Criterion |  UX Design Design Studio |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | 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. | 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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 h | laufend | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 3-8 | 2-12 | 1-8 | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Sketches, Concept Directions, Design Decisions | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | SketchingCollaborationIdeation | EstimationForecastingFlow | ForecastingFlowDelivery | LeanFlowWasteDelivery |