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| Criterion |  Decision Making Decision Tree |  UX Research User Interviews |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | Medium | Low |
Timedifferent | 30-90 min | 30–60 min per interview | 45-75 min | 30-60 min |
Participantsdifferent | 1-6 | 1 participant per interview | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Interview Notes, Themes, Insight Summary | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionTreeOptions | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |