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| Criterion |  Operations Causal Factor Analysis |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | High | Low | Medium | Medium |
Timedifferent | 2-6 h | 30-60 min | 45-75 min | 60-90 min |
Participantsdifferent | 3-10 | 1-5 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | CausalityIncidentRoot causeTimeline | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | ExperimentsPrioritizationDiscoveryHypothesis |