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| Criterion |  Decision Making Decision Tree |  Agile Planning Poker |  Decision Making Constraint Analysis |  Agile Affinity Estimation |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 30-90 min | 2-5 min je Item | 30-90 min | 30-90 min |
Participantsdifferent | 1-6 | 3-9 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Relative Estimates, Assumption Notes, Split Candidates | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | DecisionTreeOptions | EstimationAgileRelative sizingTeam | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing |