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| Criterion |  Growth Funnel Analysis |  UX Research Diary Study |  Decision Making Delphi Method |  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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | High |
Timedifferent | 1-3 h | 1-4 Wochen | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 1-5 | 5-20 | 6-30 Experten | 1-6 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Diary Entries, Longitudinal Patterns, Experience Timeline | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | UX researchTrackingBehavior | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |