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 User Interviews |  Product Discovery Opportunity Solution Tree |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 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 | Medium | Low | Medium |
Timedifferent | 30–60 min per interview | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 participant per interview | 2-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tags1 shared | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |