View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Decision Tree |  Agile Affinity Estimation |  Decision Making Constraint Analysis |  Agile Planning Poker |
|---|---|---|---|---|
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 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. | 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 30-90 min | 30-90 min | 2-5 min je Item |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 3-9 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Affinity Size Map, Grouped Estimates, Unclear Items | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | ConstraintsDecisionPlanningOptions | EstimationAgileRelative sizingTeam |