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| Criterion |  Growth A/B Testing |  Growth Growth Experiment |  Innovation Design Sprint |
|---|---|---|---|
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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | High | Medium | High |
Timedifferent | 1-4 Wochen | 1-2 Wochen | 4-5 Tage |
Participantsdifferent | 1-6 | 1-6 | 5-8 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning | Design sprintPrototypeValidationInnovation |
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