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| Criterion |  UX Research Surveys |  Innovation Design Thinking |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Medium | High | Low | High |
Timedifferent | 3-14 Tage | 1 Tag bis mehrere Wochen | 30-60 min | 1-4 Wochen |
Participantsdifferent | 50+ | 4-10 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | QuantitativeResearchValidation | InnovationPrototypeResearch | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |