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| Criterion |  Delivery Value Stream Mapping |  Product Discovery Dual-Track Agile |  Operations Bottleneck Analysis |  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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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 | Medium | High |
Timedifferent | 1-3 h | Laufend, Wochen bis Monate | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 4-10 | 3-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | AgileDiscoveryDelivery | FlowMeasurementConstraints | ForecastingFlowDelivery |