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| Criterion |  Agile Story Splitting |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 30-60 min | 30-90 min Setup, danach laufend | 1-3 h | 15-30 min |
Participantsdifferent | 2-6 | 1-8 | 4-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Smaller Stories, Acceptance Criteria, Split Rationale | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Root cause notes, Countermeasures |
Tagsno overlap | BacklogIterationDelivery | ForecastingFlowDelivery | LeanFlowWasteDelivery | Root causeIncidentLeanProblem solving |