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| Criterion |  Product Strategy Product Canvas |  Operations Fishbone Diagram |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | When product goal and feature scope don't yet fit cleanly together, it creates a shared working picture. It connects need, core features, and assumptions into a solid starting point. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-2 h | 30-60 min | 60-90 min | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Product Canvas, Product Assumptions, Scope Notes | Fishbone Diagram, Cause Categories, Investigation Backlog | Prioritization Canvas, Hypothesis Backlog | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | CanvasDiscoveryScope | Root causeQualityOperations | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationQualityFocusRoot cause |