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| Criterion |  Operations Scatter Diagram |  Product Discovery Experiment Canvas |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 30-90 min | 30-60 min | 45-60 min | 2-6 h |
Participantsdifferent | 1-4 | 1-5 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Root causeQualityVisualization | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause |