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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 Bucket System.
Agile
Bucket System
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.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.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1-4 h or multiple rounds2-4 h30-90 min30-90 min
Participantsdifferent
4-12 Experten3-83-123-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsBucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationExpertsForecasting
Theory of ConstraintsSystems thinkingChange
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
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