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| Criterion |  Agile Scrum |  Decision Making Delphi Method |  Systems Thinking Future Reality Tree |
|---|---|---|---|
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. |
Complexitydifferent | Medium | High | High |
Timedifferent | 1-4 Wochen je Sprint, laufend | 1-4 Wochen | 2-4 h |
Participantsdifferent | 3-10 (Scrum Team) | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Expert Forecast, Consensus Range, Assumption Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | AgileIterationCadence | ForecastingExpertsDecisionStrategy | Theory of ConstraintsSystems thinkingChange |
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