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| Criterion |  Delivery Value Stream Mapping |  Agile Story Splitting |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. | 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 | Medium | High |
Timedifferent | 1-3 h | 30-60 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 2-6 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Smaller Stories, Acceptance Criteria, Split Rationale | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tags1 shared | LeanFlowWasteDelivery | BacklogIterationDelivery | ForecastingFlowDelivery |
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