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| Criterion |  Engineering Golden Path |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 Tage Setup, laufend | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | EngineeringProductivityGovernance | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |
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