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 Discovery Hypothesis Prioritization Canvas |  UX Research Personas |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 45–90 min | 60-90 min | 1-3 Tage | 30-60 min |
Participantsdifferent | 3-10 | 3-8 | Internes Team | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog | Persona Profiles, Needs Summary, Scenario Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis | ResearchCustomerSynthesis | ExperimentsValidationDiscoveryHypothesis |