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| Criterion |  Decision Making Constraint Analysis |  UX Research User Interviews |  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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 | 30–60 min per interview | 1-2 h | 30-90 min |
Participantsdifferent | 2-8 | 1 participant per interview | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Interview Notes, Themes, Insight Summary | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | QualitativeResearchCustomerDiscovery | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions |