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| Criterion |  UX Research User Interviews |  Operations ALPEN Method |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Interview |
|---|---|---|---|---|
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 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 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 | Low | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 10-20 min daily | 1-2 h Setup, laufend | 30-60 min je Interview |
Participantsdifferent | 1 participant per interview | 1 | 2-6 | 5-12 Interviews |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Daily Plan, Time Estimates, Review Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PlanningTime managementProductivityOperations | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer |