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| Criterion |  Growth A/B Testing |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
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 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. | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 1-4 Wochen | 3-14 Tage | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 1-6 | 50+ | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |