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| Criterion |  Product Discovery Kano Model |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |  Product Discovery Opportunity Interview |
|---|---|---|---|---|
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. | 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. | 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 are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 Tage | 2-8 h | 2-6 h | 30-60 min je Interview |
Participantsdifferent | 10-50 | 5-12 | 2-8 | 5-12 Interviews |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models | Interview Notes, Opportunity Themes, Customer Quotes |
Tagsno overlap | SatisfactionPrioritizationCustomer | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior | DiscoveryInterviewsOpportunityCustomer |