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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |  Product Strategy DIBB |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 45–90 min | 45-60 min | 1-2 h | 1-2 Wochen pro Iteration |
Participantsdifferent | 3-10 | 2-8 | 2-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryAssumptions |