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| Criterion |  Delivery Value Stream Mapping |  UX Research Contextual Inquiry |  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 work processes are known only from accounts and the real context stays hidden, Contextual Inquiry makes behavior at the workplace visible. Observation and follow-up questions together show how people actually work, get interrupted, and improvise. | 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 | High |
Timedifferent | 1-3 h | 1-3 Wochen | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 4-12 Beobachtungen | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Field Notes, Workflow Insights, Pain Points | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | UX researchObservationContext | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
