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