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| Criterion |  Product Discovery Opportunity Interview |  Product Discovery Opportunity Solution Tree |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | When opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-60 min je Interview | 1-2 h Setup, laufend | 30-90 min |
Participantsdifferent | 5-12 Interviews | 2-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Decision Tree, Option Map, Assumption List |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | DiscoveryOutcomesExperimentsOpportunity | DecisionTreeOptions |
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