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| Criterion |  Agile Example Mapping |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 60-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 3-7 | 3-8 | 2-6 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Example Map, Acceptance Criteria, Open Questions | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | Behavior-Driven DevelopmentRequirementsExamplesRefinement | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity |
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