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| Criterion | ![]() UX Research Diary Study | ![]() Delivery RAID Log | ![]() 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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 | Low | Medium | High |
Timedifferent | 1-4 Wochen | 30 min Setup, dann laufend | 1-3 h | 1-4 Wochen |
Participantsdifferent | 5-20 | 1-3 maintaining, briefing for everyone | 1-5 | 1-6 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | RAID Log, Status Report Source | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | RiskTrackingStakeholdersGovernance | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



