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| Criterion |  Product Discovery Assumption Mapping |  UX Research Surveys |  Operations Failure Mode and Effects Analysis |  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 a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | High |
Timedifferent | 45-60 min | 3-14 Tage | 2-6 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 50+ | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Survey Results, Charts, Segment Insights | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | AssumptionsRiskExperimentsValidation | QuantitativeResearchValidation | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation |