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| Criterion | ![]() UX Research Diary Study | ![]() Agile WSJF | ![]() Growth Funnel Analysis | ![]() 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 tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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. | 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 | Medium | High |
Timedifferent | 1-4 Wochen | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 5-20 | 3-10 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Ranked Backlog, Cost-of-Delay Assumptions | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | LeanEconomicsSequencePrioritization | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



