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| Criterion |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 60-90 min | 2-8 h | 2-6 h |
Participantsdifferent | 1 participant per interview | 3-8 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |