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| Criterion |  UX Research Diary Study |  Business Strategy Value Chain Analysis |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | 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 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 | High | Low | High |
Timedifferent | 1-4 Wochen | Half day | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 5-20 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Value Chain Map, Lever List | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | StrategyBusiness modelDiagnosisAnalysis | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |