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| Criterion | ![]() Decision Making Red Teaming | ![]() Product Discovery Experiment Canvas | ![]() Product Strategy DIBB |
|---|---|---|---|
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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 h | 30-60 min | 1-2 h |
Participantsdifferent | 3-8 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Challenge Findings, Risk Register, Mitigation Plan | Completed Experiment Canvas, Success Metric | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | RiskDecisionSensemaking | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis |
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