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| Criterion |  Decision Making Red Teaming |  Product Strategy ICE Scoring |  Product Discovery Experiment Canvas |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments. | 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. | 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 | High | Low | Low | High |
Timedifferent | 1-4 h | 30-60 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Challenge Findings, Risk Register, Mitigation Plan | ICE Table, Top Idea List | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskDecisionSensemaking | PrioritizationScoringGrowthDecision | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |