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| Criterion |  UX Research Surveys |  Operations Causal Factor Analysis |  Product Discovery Smoke Test |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 3-14 Tage | 2-6 h | 1-5 Tage | 45-60 min |
Participantsdifferent | 50+ | 3-10 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | QuantitativeResearchValidation | CausalityIncidentRoot causeTimeline | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation |