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| Criterion |  UX Research Diary Study |  Delivery Monte Carlo Forecasting |  Operations Bottleneck Analysis |  Agile NoEstimates |
|---|---|---|---|---|
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. | 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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-90 min Setup, danach laufend | 1-3 h | laufend |
Participantsdifferent | 5-20 | 1-8 | 3-8 | 2-12 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Forecast Percentiles, Throughput Dataset, Risk Communication | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | UX researchTrackingBehavior | ForecastingFlowDelivery | FlowMeasurementConstraints | EstimationForecastingFlow |