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| Criterion | ![]() Operations Fault Tree Analysis | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | High | Medium | Low |
Timedifferent | 2-6 h | 60-90 min | 30-60 min |
Participantsdifferent | 3-8 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Prioritization Canvas, Hypothesis Backlog | Completed Experiment Canvas, Success Metric |
Tagsno overlap | RiskRoot causeSafety | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |
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