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| Criterion | ![]() Agile Scrum | ![]() Decision Making Argument Mapping | ![]() Decision Making Decision Tree | ![]() Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 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 | Medium | Low |
Timedifferent | 1-4 Wochen je Sprint, laufend | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 3-10 (Scrum Team) | 1-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Argument Map, Evidence Gaps, Decision Rationale | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | AgileIterationCadence | SensemakingDecisionRationale | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |



