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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
Paper illustration of a team retrospective with three separate Start, Stop, and Continue areas and a shared action list.
Agile
Start Stop Continue
Purposedifferent
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.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 a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.When a team wants to deliberately adjust its working behavior, it makes habits visible and assessable. It focuses on concrete changes instead of diffuse mood.
Complexitydifferent
MediumLowLowLow
Timedifferent
30-90 min30-90 min45–75 min30-60 min
Participantsdifferent
1-62-8Team members involved3-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries4Ls Board, Learning Themes, Improvement ActionsStart Stop Continue Board, Improvement Actions
Tagsno overlap
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
RetrospectiveLearningReflectionTeam
RetrospectiveImprovementTeamReflection
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