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| Criterion |  Delivery Monte Carlo Forecasting |  Agile Story Splitting |  Delivery Value Stream Mapping |  Operations Waste Analysis |
|---|---|---|---|---|
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 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. | 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. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 1-3 h | 45-120 min |
Participantsdifferent | 1-8 | 2-6 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Smaller Stories, Acceptance Criteria, Split Rationale | Current-state map, Future-state map, Bottleneck list | Waste Map, Prioritized Waste, Improvement Backlog |
Tagsno overlap | ForecastingFlowDelivery | BacklogIterationDelivery | LeanFlowWasteDelivery | WasteLeanProcess improvement |