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| Criterion |  Product Discovery Opportunity Solution Tree |  Agile Example Mapping |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 30-60 min | 60-90 min |
Participantsdifferent | 2-6 | 3-7 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Example Map, Acceptance Criteria, Open Questions | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | Behavior-Driven DevelopmentRequirementsExamplesRefinement | ExperimentsPrioritizationDiscoveryHypothesis |
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