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| Criterion |  Product Strategy Product Canvas |  Knowledge Modeling Event Modeling |  Product Discovery Experiment Canvas |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When product goal and feature scope don't yet fit cleanly together, it creates a shared working picture. It connects need, core features, and assumptions into a solid starting point. | 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. | 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 | 1-2 h | 2-6 h | 30-60 min | 60-90 min |
Participantsdifferent | 2-8 | 2-8 | 1-5 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Product Canvas, Product Assumptions, Scope Notes | Event Model, UI Flow, Commands, Read Models | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | CanvasDiscoveryScope | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |