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| Criterion |  UX Research User Interviews |  Product Strategy RICE Scoring |  Product Discovery Opportunity Interview |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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 initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 60-90 min | 30-60 min je Interview | 60-90 min |
Participantsdifferent | 1 participant per interview | 2-10 | 5-12 Interviews | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | RICE Scores, Ranked List, Assumption Log | Interview Notes, Opportunity Themes, Customer Quotes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PrioritizationScoringRoadmapTradeoffs | DiscoveryInterviewsOpportunityCustomer | ExperimentsPrioritizationDiscoveryHypothesis |