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| Criterion |  UX Research User Interviews |  Operations ALPEN Method |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 10-20 min daily | 2-8 h | 2-6 h |
Participantsdifferent | 1 participant per interview | 1 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Daily Plan, Time Estimates, Review Notes | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PlanningTime managementProductivityOperations | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |