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| Criterion |  Operations Change Analysis |  Product Discovery Problem Interview |  Knowledge Modeling Event Modeling |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 45-120 min | 30-60 min je Interview | 2-6 h | 30-60 min |
Participantsdifferent | 2-6 | 5-12 Interviews | 2-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Evidence, Risk Notes, Customer Segments | Event Model, UI Flow, Commands, Read Models | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | DiscoveryInterviewsValidation | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsValidationDiscoveryHypothesis |