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| Criterion | ![]() UX Research User Interviews | ![]() Knowledge Modeling Event Modeling | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Jobs to Be Done |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 30–60 min per interview | 2-6 h | Mehrere Wochen | 1-3 Wochen |
Participantsdifferent | 1 participant per interview | 2-8 | 2-6 researchers plus sample | 5-12 Interviews |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Event Model, UI Flow, Commands, Read Models | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Job Stories, Outcome Statements, Opportunity List |
Tagsno overlap | QualitativeResearchCustomerDiscovery | EventsBlueprintDomain-Driven DesignBehavior | OutcomesInnovationResearchQuantitative | CustomerOutcomesNeeds |



