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| Criterion |  UX Research Diary Study |  Delivery Monte Carlo Forecasting |  UX Research HEART Framework |  Engineering Kanban |
|---|---|---|---|---|
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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-90 min Setup, danach laufend | 120 min initial, dann laufend | Ongoing |
Participantsdifferent | 5-20 | 1-8 | 3-6 | 2-12 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Forecast Percentiles, Throughput Dataset, Risk Communication | HEART-GSM Table, Dashboard | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | UX researchTrackingBehavior | ForecastingFlowDelivery | MetricsUX researchMeasurementSatisfaction | FlowVisual managementDelivery |