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| Criterion |  UX Research User Interviews |  Operations ABC Analysis |  Product Discovery Opportunity Solution Tree |  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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 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 | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 30-60 min | 1-2 h Setup, laufend | 60-90 min |
Participantsdifferent | 1 participant per interview | 1-5 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | ABC Classification, Focus Rules, Control List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PrioritizationOperationsPortfolio | DiscoveryOutcomesExperimentsOpportunity | ExperimentsPrioritizationDiscoveryHypothesis |