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| Criterion |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
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 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 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 60-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 1 participant per interview | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tags1 shared | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity |
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