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Criterion
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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
LowMediumMedium
Timedifferent
30-90 min1-2 Wochen30-90 min
Participantsdifferent
2-81-61-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Constraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesExperiment card, Result summary, Next betDecision Tree, Option Map, Assumption List
Tagsno overlap
ConstraintsDecisionPlanningOptions
MarketingGrowthExperimentsLearning
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 GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card