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| Criterion |  Innovation Design Sprint |  Product Discovery Smoke Test |  UX Research Surveys |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 4-5 Tage | 1-5 Tage | 3-14 Tage | 1-4 Wochen |
Participantsdifferent | 5-8 | Nutzertraffic | 50+ | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Interest Metrics, Conversion Signal, Learning Note | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary |
Tags1 shared | Design sprintPrototypeValidationInnovation | ValidationExperimentsDemandGrowth | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation |