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| Criterion |  Decision Making Constraint Analysis |  Decision Making Trade-off Analysis |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 | Low | Medium | Medium | Low |
Timedifferent | 30-90 min | 45-120 min | 45-75 min | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ConstraintsDecisionPlanningOptions | TradeoffsDecisionCriteriaOptions | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |