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| Criterion |  Decision Making Constraint Analysis |  UX Research Card Sorting |  Product Strategy DIBB |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. | 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. | 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. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 30-90 min | 20-45 min | 1-2 h | 30-90 min |
Participantsdifferent | 2-8 | Based on research question | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Content groups, Label set, IA hypotheses | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | Information architectureNavigationStructure | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions |