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| Criterion |  Growth A/B Testing |  Growth Growth Experiment |  Engineering Goal Question Metric |
|---|---|---|---|
Purposedifferent | 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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 Wochen | 90-180 min |
Participantsdifferent | 1-6 | 1-6 | 3-6 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning | MetricsMeasurementEngineeringAlignment |
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