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| Criterion |  Operations Root Cause Tree Analysis |  Product Discovery Experiment Canvas |  Operations Fishbone Diagram |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 30-60 min | 30-60 min | 60-90 min |
Participantsdifferent | 2-8 | 1-5 | 2-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Completed Experiment Canvas, Success Metric | Fishbone Diagram, Cause Categories, Investigation Backlog | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | Root causeTreeIncidentQuality | ExperimentsValidationDiscoveryHypothesis | Root causeQualityOperations | ExperimentsPrioritizationDiscoveryHypothesis |