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| Criterion |  UX Research Surveys |  Growth A/B Testing |  Innovation Design Sprint |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 3-14 Tage | 1-4 Wochen | 4-5 Tage | 45-60 min |
Participantsdifferent | 50+ | 1-6 | 5-8 | 2-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale | Assumption map, Test backlog, Risk ranking |
Tags1 shared | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation | AssumptionsRiskExperimentsValidation |