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| Criterion |  Product Discovery Opportunity Scoring |  Knowledge Modeling Event Modeling |  UX Research Affinity Diagramming |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 60-120 min | 2-6 h | 45–90 min | 60-90 min |
Participantsdifferent | 3-6 | 2-8 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Event Model, UI Flow, Commands, Read Models | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | EventsBlueprintDomain-Driven DesignBehavior | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis |