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| Criterion |  Product Discovery Opportunity Scoring |  UX Research User Interviews |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 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 | Medium | Low | Medium | Medium |
Timedifferent | 60-120 min | 30–60 min per interview | 2-8 h | 2-6 h |
Participantsdifferent | 3-6 | 1 participant per interview | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Interview Notes, Themes, Insight Summary | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | QualitativeResearchCustomerDiscovery | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |