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| Criterion | ![]() Operations Scatter Diagram | ![]() Decision Making Pareto Analysis | ![]() 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. | 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. | 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 | 1-6 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Pareto Chart, Top Causes, Focus List | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Root causeQualityVisualization | PrioritizationQualityFocusRoot cause | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause |



