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| Criterion |  Agile Specification by Example |  Agile Example Mapping |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | Low | High | Low |
Timedifferent | 60-90 min pro Feature | 30-60 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-6 | 3-7 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Example Table, Acceptance Tests | Example Map, Acceptance Criteria, Open Questions | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | AgileRequirementsExamplesBehavior-Driven Development | Behavior-Driven DevelopmentRequirementsExamplesRefinement | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |