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| Criterion | ![]() UX Research Card Sorting | ![]() Decision Making Red Teaming | ![]() Product Strategy DIBB | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 20-45 min | 1-4 h | 1-2 h | 45-60 min |
Participantsdifferent | Based on research question | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Challenge Findings, Risk Register, Mitigation Plan | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Information architectureNavigationStructure | RiskDecisionSensemaking | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |



