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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Goal Question Metric |  UX Research HEART Framework |
|---|---|---|---|
Purposedifferent | 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 technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 90-180 min | 120 min initial, dann laufend |
Participantsdifferent | 1-8 | 3-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | GQM Table, Metric Profiles | HEART-GSM Table, Dashboard |
Tagsno overlap | ForecastingFlowDelivery | MetricsMeasurementEngineeringAlignment | MetricsUX researchMeasurementSatisfaction |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
