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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Purposedifferent
A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.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.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
HighHighMediumHigh
Timedifferent
1-4 h or multiple rounds2-4 h30-90 min1-5 Tage
Participantsdifferent
4-12 Experten3-83-124-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsAffinity Size Map, Grouped Estimates, Unclear ItemsLogic Model, Change Objectives, Intervention Components, Evaluation Plan
Tagsno overlap
EstimationExpertsForecasting
Theory of ConstraintsSystems thinkingChange
EstimationBacklogRelative sizing
ChangeSystems thinkingCapability
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