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| Criterion |  Growth A/B Testing |  Decision Making Pareto Analysis |  Decision Making Risk Matrix |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | 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 project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | High | Low | Low | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 30-60 min | 30-60 min |
Participantsdifferent | 1-6 | 1-6 | 3-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Pareto Chart, Top Causes, Focus List | Risk Matrix, Top Risk List | ICE Table, Top Idea List |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationQualityFocusRoot cause | RiskDecisionPrioritizationAssessment | PrioritizationScoringGrowthDecision |