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| Criterion | ![]() Decision Making Decision Tree | ![]() Decision Making Cynefin Workshop | ![]() Product Strategy DIBB | ![]() Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 60-180 min | 1-2 h | 30-90 min |
Participantsdifferent | 1-6 | 4-20 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Cynefin Map, Domain-specific Actions, Sensemaking Notes | DIBB document, Belief list, Bet list, Learning report | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tags1 shared | DecisionTreeOptions | ComplexitySensemakingDecision | StrategyDecisionAssumptionsHypothesis | ConstraintsDecisionPlanningOptions |



