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| Criterion |  Product Discovery Assumption Mapping |  UX Research Surveys |  Innovation Lean Startup |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | High |
Timedifferent | 45-60 min | 3-14 Tage | Wochen bis Monate je Lernzyklus | 1-4 Wochen |
Participantsdifferent | 2-8 | 50+ | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Survey Results, Charts, Segment Insights | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Experiment results, Decision log, Learning summary |
Tags1 shared | AssumptionsRiskExperimentsValidation | QuantitativeResearchValidation | LeanStartupValidationMVP | ExperimentsGrowthAnalyticsValidation |