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| Criterion | ![]() UX Research Diary Study | ![]() Growth A/B Testing | ![]() Product Strategy Impact Mapping | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
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 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 goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 45-90 min | 1-5 Tage |
Participantsdifferent | 5-20 | 1-6 | 3-8 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Experiment results, Decision log, Learning summary | Impact Map, Outcome Hypotheses, Delivery Options | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | UX researchTrackingBehavior | ExperimentsGrowthAnalyticsValidation | OutcomesStrategyBehaviorPlanning | ValidationExperimentsDemandGrowth |



