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| Criterion |  Delivery Monte Carlo Forecasting |  UX Research HEART Framework |  Product Strategy Counter Metrics |  Operations Bottleneck Analysis |
|---|---|---|---|---|
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 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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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 | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 120 min initial, dann laufend | 30-60 min | 1-3 h |
Participantsdifferent | 1-8 | 3-6 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | HEART-GSM Table, Dashboard | Counter Metric List, Guardrail Definitions | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures |
Tagsno overlap | ForecastingFlowDelivery | MetricsUX researchMeasurementSatisfaction | MetricsMeasurementStrategyExperiments | FlowMeasurementConstraints |