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| Criterion |  Growth A/B Testing |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | 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. |
Complexitydifferent | High | High | High | Low |
Timedifferent | 1-4 Wochen | Mehrere Wochen | 4-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 2-6 researchers plus sample | 5-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | ValidationExperimentsDemandGrowth |