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| Criterion |  Operations Fault Tree Analysis |  Product Discovery Outcome-Driven Innovation |  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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | High | Low |
Timedifferent | 2-6 h | Mehrere Wochen | 30-60 min |
Participantsdifferent | 3-8 | 2-6 researchers plus sample | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | RiskRoot causeSafety | OutcomesInnovationResearchQuantitative | ExperimentsValidationDiscoveryHypothesis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
