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Criterion
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
LowLowMediumMedium
Timedifferent
30-90 min15-60 min15-45 min30-90 min
Participantsdifferent
2-82-91-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Constraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesIdeal Day Estimates, Assumption Notes, Capacity CaveatsPERT Estimate, Expected Value, Risk NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
ConstraintsDecisionPlanningOptions
EstimationEffortAgile
EstimationUncertaintyRisk
DecisionTreeOptions
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