View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research Diary Study |  Product Discovery Smoke Test |  Operations PDCA Cycle |  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 an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Low | High |
Timedifferent | 1-4 Wochen | 1-5 Tage | 1 h bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 5-20 | Nutzertraffic | 1-8 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Interest Metrics, Conversion Signal, Learning Note | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | ValidationExperimentsDemandGrowth | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation |