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| Criterion | ![]() UX Research Surveys | ![]() Innovation Double Diamond | ![]() 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 problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 | Medium | High |
Timedifferent | 3-14 Tage | Wochen bis Monate | 1-4 Wochen |
Participantsdifferent | 50+ | 3-12 | 1-6 |
Formatdifferent | Async | Workshop + async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Experiment results, Decision log, Learning summary |
Tagsno overlap | QuantitativeResearchValidation | ProcessDivergenceInnovation | ExperimentsGrowthAnalyticsValidation |
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