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| Criterion |  Operations Change Analysis |  Product Discovery Problem Interview |  Knowledge Modeling Event Modeling |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-120 min | 30-60 min je Interview | 2-6 h | 1-5 Tage |
Participantsdifferent | 2-6 | 5-12 Interviews | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Evidence, Risk Notes, Customer Segments | Event Model, UI Flow, Commands, Read Models | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | DiscoveryInterviewsValidation | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandDiscovery |