View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Failure Scenario Analysis |  Product Discovery MVP Test Matrix |  Decision Making Decision 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. | 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 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 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 | 45-75 min | 45-90 min | 30-60 min |
Participantsdifferent | 3-8 | 2-8 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Test Matrix, Test Plan | Decision Matrix, Scoring Rationale, Selected Option | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FailureResilienceRisk | ExperimentsValidationDiscoveryOptions | DecisionCriteriaScoringTradeoffs | ExperimentsValidationDiscoveryHypothesis |