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| Criterion |  Decision Making Constraint Analysis |  Delivery Cost of Delay |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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. | 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. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 30-90 min | 90-180 min | 30-60 min | 45-75 min |
Participantsdifferent | 2-8 | 3-8 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | CoD Table, Prioritization Sequence | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | PrioritizationDeliveryEconomicsDecision | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions |