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| Criterion |  Product Discovery Opportunity Interview |  UX Research Empathy Mapping |  Domain Modeling EventStorming |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-60 min je Interview | 30–60 min | 2-8 h | 1-2 h Setup, laufend |
Participantsdifferent | 5-12 Interviews | 4-8 | 5-12 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Empathy Map, Assumptions List, Research Gaps | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | SynthesisQualitativeWorkshop | Domain-Driven DesignEventsDiscoveryWorkshop | DiscoveryOutcomesExperimentsOpportunity |