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| Criterion |  Engineering Goal Question Metric |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | 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. | 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 Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 90-180 min | laufend | 30-90 min Setup, danach laufend | 30-60 min |
Participantsdifferent | 3-6 | 2-12 | 1-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | GQM Table, Metric Profiles | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Counter Metric List, Guardrail Definitions |
Tagsno overlap | MetricsMeasurementEngineeringAlignment | EstimationForecastingFlow | ForecastingFlowDelivery | MetricsMeasurementStrategyExperiments |