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| Criterion |  Decision Making Constraint Analysis |  Engineering Failure Scenario 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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 | 1-3 h | 45-75 min | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ConstraintsDecisionPlanningOptions | FailureResilienceRisk | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |