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| Criterion | ![]() Product Discovery Dual-Track Agile | ![]() Delivery Value Stream Mapping | ![]() Operations Gemba Walk | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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 | Low | High |
Timedifferent | Laufend, Wochen bis Monate | 1-3 h | 30-120 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 4-10 | 2-6 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Current-state map, Future-state map, Bottleneck list | Observation Notes, Improvement Ideas | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | AgileDiscoveryDelivery | LeanFlowWasteDelivery | LeanObservationProcessOperations | ForecastingFlowDelivery |



