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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 for OODA Loop.
Decision Making
OODA Loop
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records what worked, what's missing, and what should run differently next time.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumLowLowMedium
Timedifferent
30-90 min30-90 min45–75 min15-60 min je Zyklus
Participantsdifferent
1-62-8Team members involved1-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries4Ls Board, Learning Themes, Improvement ActionsSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
RetrospectiveLearningReflectionTeam
DecisionChangeLearningStrategy
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