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| Criterion |  Product Discovery Opportunity Scoring |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 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 | Medium |
Timedifferent | 60-120 min | 30-90 min | 30-90 min | 60-90 min |
Participantsdifferent | 3-6 | 2-8 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | ExperimentsPrioritizationDiscoveryHypothesis |