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| Criterion |  Agile T-Shirt Sizing |  Delivery Value Stream Mapping |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes. | 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. | 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 | Low | Medium | High |
Timedifferent | 15-45 min | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 4-10 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Size Buckets, Rough Backlog Map, Split Candidates | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationAgileRoadmap | LeanFlowWasteDelivery | ForecastingFlowDelivery |
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