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| Criterion |  Product Discovery Opportunity Interview |  Domain Modeling EventStorming |  UX Research Affinity Diagramming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
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. | 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Medium | Low | Medium |
Timedifferent | 30-60 min je Interview | 2-8 h | 45–90 min | 2-6 h |
Participantsdifferent | 5-12 Interviews | 5-12 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Theme clusters, Insight statements, Opportunity areas | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | Domain-Driven DesignEventsDiscoveryWorkshop | SynthesisQualitativeRoot cause | EventsBlueprintDomain-Driven DesignBehavior |