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| Criterion |  Decision Making Decision Matrix |  Decision Making Constraint Analysis |  Product Discovery Experiment Canvas |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 45-90 min | 30-90 min | 30-60 min | 45-120 min |
Participantsdifferent | 2-8 | 2-8 | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Completed Experiment Canvas, Success Metric | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryHypothesis | TradeoffsDecisionCriteriaOptions |