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| Criterion |  Product Discovery Kano Model |  Knowledge Modeling Event Modeling |  Product Discovery Opportunity Solution Tree |  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. | 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. | 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 | 2-6 h | 1-2 h Setup, laufend | 30-60 min je Interview |
Participantsdifferent | 10-50 | 2-8 | 2-6 | 5-12 Interviews |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Event Model, UI Flow, Commands, Read Models | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes |
Tagsno overlap | SatisfactionPrioritizationCustomer | EventsBlueprintDomain-Driven DesignBehavior | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer |