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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Product Strategy DIBB | ![]() 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Low | Low |
Timedifferent | 1-3 h | 1-2 h | 30-60 min |
Participantsdifferent | 3-8 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | FailureResilienceRisk | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |
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