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| Criterion |  Engineering Failure Scenario Analysis |  Decision Making Trade-off Analysis |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h | 45-120 min | 45-75 min | 30-60 min |
Participantsdifferent | 3-8 | 2-8 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FailureResilienceRisk | TradeoffsDecisionCriteriaOptions | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |