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| Criterion |  Product Discovery Assumption Mapping |  Decision Making Pareto Analysis |  Operations Fishbone Diagram |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 45-60 min | 30-60 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Pareto Chart, Top Causes, Focus List | Fishbone Diagram, Cause Categories, Investigation Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | AssumptionsRiskExperimentsValidation | PrioritizationQualityFocusRoot cause | Root causeQualityOperations | ExperimentsGrowthAnalyticsValidation |