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| Criterion |  UX Research User Interviews |  Operations A3 Problem Solving |  Product Discovery Hypothesis Prioritization Canvas |  Operations ABC Analysis |
|---|---|---|---|---|
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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30–60 min per interview | 45-90 min | 60-90 min | 30-60 min |
Participantsdifferent | 1 participant per interview | 2-5 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | A3 Report, Action Plan, Root Cause Analysis | Prioritization Canvas, Hypothesis Backlog | ABC Classification, Focus Rules, Control List |
Tagsno overlap | QualitativeResearchCustomerDiscovery | LeanProblem solvingCoachingOperations | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationOperationsPortfolio |