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| Criterion |  Decision Making Decision Tree |  UX Research Affinity Diagramming |  UX Research Personas |  UX Research User Interviews |
|---|---|---|---|---|
Purposedifferent | 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 45–90 min | 1-3 Tage | 30–60 min per interview |
Participantsdifferent | 1-6 | 3-10 | Internes Team | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Interview Notes, Themes, Insight Summary |
Tagsno overlap | DecisionTreeOptions | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | QualitativeResearchCustomerDiscovery |