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| Criterion |  Product Discovery Kano Model |  Knowledge Modeling Event Modeling |  UX Research User Interviews |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 2-6 h | 30–60 min per interview | 2-8 h |
Participantsdifferent | 10-50 | 2-8 | 1 participant per interview | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Event Model, UI Flow, Commands, Read Models | Interview Notes, Themes, Insight Summary | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | SatisfactionPrioritizationCustomer | EventsBlueprintDomain-Driven DesignBehavior | QualitativeResearchCustomerDiscovery | Domain-Driven DesignEventsDiscoveryWorkshop |