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| Criterion |  UX Research Diary Study |  Agile NoEstimates |  Facilitation Dot Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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 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. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 | Low | High |
Timedifferent | 1-4 Wochen | laufend | 5-20 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 5-20 | 2-12 | 3-20 | 1-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Throughput Data, Flow Forecast, Slicing Rules | Effort Heatmap, Risk Signals, Discussion Targets | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | UX researchTrackingBehavior | EstimationForecastingFlow | EstimationEffortRisk | ForecastingFlowDelivery |