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| Criterion |  Growth A/B Testing |  Decision Making Red Teaming |  Product Discovery Experiment Canvas |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 1-4 Wochen | 1-4 h | 30-60 min | 45-90 min |
Participantsdifferent | 1-6 | 3-8 | 1-5 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Challenge Findings, Risk Register, Mitigation Plan | Completed Experiment Canvas, Success Metric | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskDecisionSensemaking | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery |