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| Criterion |  Agile Affinity Estimation |  Agile NoEstimates |  Systems Thinking Future Reality Tree |  Systems Thinking Intervention Mapping |
|---|---|---|---|---|
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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 30-90 min | laufend | 2-4 h | 1-5 Tage |
Participantsdifferent | 3-12 | 2-12 | 3-8 | 4-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Throughput Data, Flow Forecast, Slicing Rules | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Logic Model, Change Objectives, Intervention Components, Evaluation Plan |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationForecastingFlow | Theory of ConstraintsSystems thinkingChange | ChangeSystems thinkingCapability |