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| Criterion |  Operations ALPEN Method |  UX Research Personas |  Product Discovery Opportunity Solution Tree |  UX Research User Interviews |
|---|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 10-20 min daily | 1-3 Tage | 1-2 h Setup, laufend | 30–60 min per interview |
Participantsdifferent | 1 | Internes Team | 2-6 | 1 participant per interview |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Persona Profiles, Needs Summary, Scenario Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Themes, Insight Summary |
Tagsno overlap | PlanningTime managementProductivityOperations | ResearchCustomerSynthesis | DiscoveryOutcomesExperimentsOpportunity | QualitativeResearchCustomerDiscovery |