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| Criterion |  UX Research HEART Framework |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |  Operations Bottleneck Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 120 min initial, dann laufend | 30-90 min Setup, danach laufend | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-6 | 1-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy | FlowMeasurementConstraints |