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| Criterion |  Product Discovery Opportunity Interview |  UX Research Affinity Diagramming |  Domain Modeling EventStorming |  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 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. | 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 | 30-60 min je Interview | 45–90 min | 2-8 h | 2-6 h |
Participantsdifferent | 5-12 Interviews | 3-10 | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior |