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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Operations Change Analysis |  Operations Root Cause Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | 60-90 min | 45-120 min | 1-4 h | 30-60 min |
Participantsdifferent | 3-8 | 2-6 | 3-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ChangeRoot causeTroubleshootingComparison | Root causeProblem solvingQualityIncident | ExperimentsValidationDiscoveryHypothesis |