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| Criterion |  Product Discovery Fake Door Test |  Growth A/B Testing |  Engineering Goal Question Metric |
|---|---|---|---|
Purposedifferent | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-5 Tage | 1-4 Wochen | 90-180 min |
Participantsdifferent | Nutzertraffic | 1-6 | 3-6 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary | GQM Table, Metric Profiles |
Tagsno overlap | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementEngineeringAlignment |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
