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| Criterion |  Product Discovery Opportunity Interview |  Operations ALPEN Method |  UX Research Personas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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. | 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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 30-60 min je Interview | 10-20 min daily | 1-3 Tage | 1-2 h Setup, laufend |
Participantsdifferent | 5-12 Interviews | 1 | Internes Team | 2-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Daily Plan, Time Estimates, Review Notes | Persona Profiles, Needs Summary, Scenario Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | PlanningTime managementProductivityOperations | ResearchCustomerSynthesis | DiscoveryOutcomesExperimentsOpportunity |