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| Criterion |  Product Discovery Opportunity Solution Tree |  Decision Making Decision Tree |  Product Discovery Experiment 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 30-90 min | 30-60 min |
Participantsdifferent | 2-6 | 1-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Decision Tree, Option Map, Assumption List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | DecisionTreeOptions | ExperimentsValidationDiscoveryHypothesis |
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