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| Criterion |  Product Strategy Counter Metrics |  Product Discovery Smoke Test |  Engineering Goal Question Metric |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 30-60 min | 1-5 Tage | 90-180 min | 1-4 Wochen |
Participantsdifferent | 2-6 | Nutzertraffic | 3-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Counter Metric List, Guardrail Definitions | Interest Metrics, Conversion Signal, Learning Note | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsMeasurementStrategyExperiments | ValidationExperimentsDemandGrowth | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |