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| Criterion |  UX Research User Interviews |  Knowledge Modeling Event Modeling |  Product Discovery Opportunity Scoring |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 2-6 h | 60-120 min | 60-90 min |
Participantsdifferent | 1 participant per interview | 2-8 | 3-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Event Model, UI Flow, Commands, Read Models | Opportunity Score Table, Top Outcomes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QualitativeResearchCustomerDiscovery | EventsBlueprintDomain-Driven DesignBehavior | PrioritizationDiscoveryOutcomesNeeds | ExperimentsPrioritizationDiscoveryHypothesis |