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| Criterion | ![]() Product Strategy ICE Scoring | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Learning Card | ![]() Growth A/B Testing |
|---|---|---|---|---|
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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | Low | Low | High |
Timedifferent | 30-60 min | 30-60 min | 25-40 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Completed Experiment Canvas, Success Metric | Learning Card with evidence and next action | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | ExperimentsGrowthAnalyticsValidation |



