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| Criterion |  Decision Making Assumption Surfacing |  UX Research Affinity Diagramming |  Decision Making Decision Tree |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Low | Low | Medium | Low |
Timedifferent | 45-90 min | 45–90 min | 30-90 min | 1-2 h |
Participantsdifferent | 2-8 | 3-10 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Assumption List, Critical Assumptions, Learning Plan | Theme clusters, Insight statements, Opportunity areas | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | AssumptionsRiskDecisionDiscovery | SynthesisQualitativeRoot cause | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |