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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumMediumLowLow
Timedifferent
30-90 minWochen bis Monate je Lernzyklus30-60 min20-35 min
Participantsdifferent
1-62-81-51-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCompleted Experiment Canvas, Success MetricTest Card with a pre-set threshold
Tagsno overlap
DecisionTreeOptions
LeanStartupValidationMVP
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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