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| Criterion |  UX Research Diary Study |  Operations Waste Analysis |  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. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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 | Low | High | Medium |
Timedifferent | 1-4 Wochen | 45-120 min | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 5-20 | 2-8 | 1-8 | 4-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Waste Map, Prioritized Waste, Improvement Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | UX researchTrackingBehavior | WasteLeanProcess improvement | ForecastingFlowDelivery | LeanFlowWasteDelivery |