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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared.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.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumMediumLow
Timedifferent
15-60 min je Zyklus30-90 min30-60 min
Participantsdifferent
1-81-61-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesDecision Tree, Option Map, Assumption ListCompleted Experiment Canvas, Success Metric
Tagsno overlap
DecisionChangeLearningStrategy
DecisionTreeOptions
ExperimentsValidationDiscoveryHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB