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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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
MediumMediumLowHigh
Timedifferent
30-90 min1-3 h15-60 min2-4 h
Participantsdifferent
3-123-122-93-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsSystem Map, Dependencies, Leverage PointsIdeal Day Estimates, Assumption Notes, Capacity CaveatsFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
EstimationBacklogRelative sizing
Systems thinkingMappingBoundariesChange
EstimationEffortAgile
Theory of ConstraintsSystems thinkingChange
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