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| Criterion |  UX Research Personas |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 | Medium | High |
Timedifferent | 1-3 Tage | 1-3 h | 1-4 Wochen |
Participantsdifferent | Internes Team | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | ResearchCustomerSynthesis | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
