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| Criterion |  UX Research Diary Study |  Growth Funnel Analysis |  Engineering Goal Question Metric |  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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 1-3 h | 90-180 min | 1-4 Wochen |
Participantsdifferent | 5-20 | 1-5 | 3-6 | 1-6 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Funnel report, Drop-off analysis, Optimization hypotheses | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | AnalyticsConversionGrowth | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |