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| Criterion | ![]() Operations Change Analysis | ![]() Product Discovery Problem Interview | ![]() UX Research Affinity Diagramming | ![]() 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Low | Low |
Timedifferent | 45-120 min | 30-60 min je Interview | 45–90 min | 30-60 min |
Participantsdifferent | 2-6 | 5-12 Interviews | 3-10 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Evidence, Risk Notes, Customer Segments | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | DiscoveryInterviewsValidation | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis |



