View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Strategy DIBB | ![]() UX Research Personas |
|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 45–90 min | 1-2 h | 1-3 Tage |
Participantsdifferent | 3-10 | 2-8 | Internes Team |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis | ResearchCustomerSynthesis |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






