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| Criterion |  UX Research User Interviews |  Operations ABC Analysis |  Operations ALPEN Method |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | Medium |
Timedifferent | 30–60 min per interview | 30-60 min | 10-20 min daily | 60-90 min |
Participantsdifferent | 1 participant per interview | 1-5 | 1 | 3-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | ABC Classification, Focus Rules, Control List | Daily Plan, Time Estimates, Review Notes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PrioritizationOperationsPortfolio | PlanningTime managementProductivityOperations | ExperimentsPrioritizationDiscoveryHypothesis |