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| Criterion | ![]() Product Strategy DIBB | ![]() UX Research Empathy Mapping | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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. | 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 | 1-2 h | 30–60 min | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 4-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Empathy Map, Assumptions List, Research Gaps | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeWorkshop | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |



