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| Criterion |  Decision Making Decision Matrix |  Decision Making Decision Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | 45-90 min | 30-90 min | 30-60 min |
Participantsdifferent | 2-8 | 1-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Decision Tree, Option Map, Assumption List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | DecisionTreeOptions | ExperimentsValidationDiscoveryHypothesis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
