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| Criterion |  Decision Making Decision Tree |  Agile Ideal Days |  Product Strategy DIBB |
|---|---|---|---|
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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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 | Medium | Low | Low |
Timedifferent | 30-90 min | 15-60 min | 1-2 h |
Participantsdifferent | 1-6 | 2-9 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Ideal Day Estimates, Assumption Notes, Capacity Caveats | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | EstimationEffortAgile | StrategyDecisionAssumptionsHypothesis |
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