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Selected:Hypothesis Prioritization CanvasUser InterviewsOpportunity Solution TreeOpportunity Interview
| Criterion | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() UX Research User Interviews | ![]() Product Discovery Opportunity Solution Tree | ![]() Product Discovery Opportunity Interview |
|---|---|---|---|---|
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. | When opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 60-90 min | 30–60 min per interview | 1-2 h Setup, laufend | 30-60 min je Interview |
Participantsdifferent | 3-8 | 1 participant per interview | 2-6 | 5-12 Interviews |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes |
Tags1 shared | ExperimentsPrioritizationDiscoveryHypothesis | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer |



