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| Criterion |  UX Research Contextual Inquiry |  Product Discovery Smoke Test |  Domain Modeling Domain Context Map |  Growth A/B Testing |
|---|---|---|---|---|
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 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 a domain model and its associated contexts need to be thought through together, it creates a shared overview. It connects the business view and organizational boundary into a readable whole. | 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 | Low | Medium | High |
Timedifferent | 1-3 Wochen | 1-5 Tage | 1-3 h | 1-4 Wochen |
Participantsdifferent | 4-12 Beobachtungen | Nutzertraffic | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Field Notes, Workflow Insights, Pain Points | Interest Metrics, Conversion Signal, Learning Note | Domain Context Map, Boundary Notes, Ownership Map | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchObservationContext | ValidationExperimentsDemandGrowth | Domain-Driven DesignContextBoundaries | ExperimentsGrowthAnalyticsValidation |