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