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| Criterion |  UX Research Diary Study |  Product Discovery Smoke Test |  Operations A3 Problem Solving |  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. | 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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 | 1-4 Wochen | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 5-20 | Nutzertraffic | 2-5 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Interest Metrics, Conversion Signal, Learning Note | A3 Report, Action Plan, Root Cause Analysis | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | ValidationExperimentsDemandGrowth | LeanProblem solvingCoachingOperations | ExperimentsGrowthAnalyticsValidation |