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| Criterion |  Product Discovery Experiment Canvas |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Low | Low | High |
Timedifferent | 30-60 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Completed Experiment Canvas, Success Metric | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
