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| Criterion |  Product Discovery Opportunity Interview |  UX Research Affinity Diagramming |  Knowledge Modeling Event Modeling |  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 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. | 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 | 45–90 min | 2-6 h | 1-2 h Setup, laufend |
Participantsdifferent | 5-12 Interviews | 3-10 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Theme clusters, Insight statements, Opportunity areas | Event Model, UI Flow, Commands, Read Models | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | SynthesisQualitativeRoot cause | EventsBlueprintDomain-Driven DesignBehavior | DiscoveryOutcomesExperimentsOpportunity |