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| Criterion |  Delivery Monte Carlo Forecasting |  Agile Story Splitting |  Operations 5 Whys |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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 | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 15-30 min | 1-3 h |
Participantsdifferent | 1-8 | 2-6 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Smaller Stories, Acceptance Criteria, Split Rationale | Root cause notes, Countermeasures | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | BacklogIterationDelivery | Root causeIncidentLeanProblem solving | LeanFlowWasteDelivery |