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| Criterion |  UX Research Personas |  Growth A/B Testing |  Decision Making Decision Tree |
|---|---|---|---|
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 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 Tage | 1-4 Wochen | 30-90 min |
Participantsdifferent | Internes Team | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Experiment results, Decision log, Learning summary | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ResearchCustomerSynthesis | ExperimentsGrowthAnalyticsValidation | DecisionTreeOptions |
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