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| Criterion |  UX Research Diary Study |  Agile WSJF |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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 | High | Medium |
Timedifferent | 1-4 Wochen | 45-90 min | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 5-20 | 3-10 | 1-8 | 4-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Ranked Backlog, Cost-of-Delay Assumptions | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | UX researchTrackingBehavior | LeanEconomicsSequencePrioritization | ForecastingFlowDelivery | LeanFlowWasteDelivery |