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| Criterion | ![]() UX Research User Interviews | ![]() UX Research Personas | ![]() Product Strategy DIBB | ![]() UX Research Affinity Diagramming |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 30–60 min per interview | 1-3 Tage | 1-2 h | 45–90 min |
Participantsdifferent | 1 participant per interview | Internes Team | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Persona Profiles, Needs Summary, Scenario Notes | DIBB document, Belief list, Bet list, Learning report | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ResearchCustomerSynthesis | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeRoot cause |



