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| Criterion | ![]() UX Research Contextual Inquiry | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test | ![]() Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | When work processes are known only from accounts and the real context stays hidden, Contextual Inquiry makes behavior at the workplace visible. Observation and follow-up questions together show how people actually work, get interrupted, and improvise. | 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 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-3 Wochen | 1-4 Wochen | 1-5 Tage | 1-3 h |
Participantsdifferent | 4-12 Beobachtungen | 1-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Field Notes, Workflow Insights, Pain Points | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | UX researchObservationContext | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | AnalyticsConversionGrowth |



