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| Criterion |  Product Strategy ICE Scoring |  Delivery Cost of Delay |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 30-60 min | 90-180 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PrioritizationScoringGrowthDecision | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |