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| Criterion |  UX Research Diary Study |  Agile NoEstimates |  Delivery RAID Log |  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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 | 30 min Setup, dann laufend | 30-90 min Setup, danach laufend |
Participantsdifferent | 5-20 | 2-12 | 1-3 maintaining, briefing for everyone | 1-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Throughput Data, Flow Forecast, Slicing Rules | RAID Log, Status Report Source | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | UX researchTrackingBehavior | EstimationForecastingFlow | RiskTrackingStakeholdersGovernance | ForecastingFlowDelivery |