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| Criterion |  Growth Funnel Analysis |  UX Research Diary Study |  Growth North Star Metric |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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 | 1-3 h | 1-4 Wochen | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 5-20 | 3-8 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Diary Entries, Longitudinal Patterns, Experience Timeline | North Star metric, Input metric tree, Measurement cadence | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | UX researchTrackingBehavior | GrowthMetricsAlignmentRetention | ExperimentsGrowthAnalyticsValidation |