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| Criterion |  Agile Affinity Estimation |  Decision Making Option Framing |  Decision Making Constraint Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 45-120 min | 30-90 min | 30-90 min |
Participantsdifferent | 3-12 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | EstimationBacklogRelative sizing | OptionsDecision framingStrategyComparison | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |