View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth A/B Testing |  UX Research Tree Testing |  Product Discovery Smoke Test |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 Tage | 1-5 Tage | 45-60 min |
Participantsdifferent | 1-6 | Based on research question | Nutzertraffic | 2-8 |
Formatdifferent | Async | Async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Findability Metrics, Path Analysis, Revised IA | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationFindability | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation |