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 Experiment Canvas |  UX Research User Interviews |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 45–90 min | 30-60 min | 30–60 min per interview | 1-5 Tage |
Participantsdifferent | 3-10 | 1-5 | 1 participant per interview | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric | Interview Notes, Themes, Insight Summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis | QualitativeResearchCustomerDiscovery | ValidationExperimentsDemandDiscovery |