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| Criterion |  UX Research Contextual Inquiry |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |
|---|---|---|---|
Purposedifferent | 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. | 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 | Medium | High | Medium |
Timedifferent | 1-3 Wochen | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 4-12 Beobachtungen | 1-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Field Notes, Workflow Insights, Pain Points | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | UX researchObservationContext | ForecastingFlowDelivery | LeanFlowWasteDelivery |
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