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Criterion
Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning.In dynamic situations, decisions become outdated faster than they can be prepared.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.
Complexitysame
MediumMediumMedium
Timedifferent
1-2 Wochen je Loop15-60 min je Zyklus30-90 min
Participantsdifferent
3-101-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Direction, Current metric, Target metric, Experiment note, Learning reportSituation Assessment, Decision Loop, Action UpdatesDecision Tree, Option Map, Assumption List
Tagsno overlap
OutcomesDiscoveryLearningIterationCoaching
DecisionChangeLearningStrategy
DecisionTreeOptions
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method