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| Criterion |  Product Strategy ICE Scoring |  Growth A/B Testing |  Decision Making Pareto Analysis |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | Low | High | Low | High |
Timedifferent | 30-60 min | 1-4 Wochen | 30-60 min | 90-180 min |
Participantsdifferent | 2-8 | 1-6 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Pareto Chart, Top Causes, Focus List | CoD Table, Prioritization Sequence |
Tagsno overlap | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | PrioritizationQualityFocusRoot cause | PrioritizationDeliveryEconomicsDecision |