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| Criterion |  Agile Example Mapping |  Product Discovery Hypothesis Prioritization Canvas |  Agile Specification by Example |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | 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. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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 | Low | Medium | Medium | Low |
Timedifferent | 30-60 min | 60-90 min | 60-90 min pro Feature | 30-60 min |
Participantsdifferent | 3-7 | 3-8 | 3-6 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Prioritization Canvas, Hypothesis Backlog | Example Table, Acceptance Tests | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | ExperimentsPrioritizationDiscoveryHypothesis | AgileRequirementsExamplesBehavior-Driven Development | ExperimentsValidationDiscoveryHypothesis |