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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
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 idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min1-2 Wochen pro Iteration30-60 min45-75 min
Participantsdifferent
1-62-61-52-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListPrioritized Assumption List, Test Plan, Results ReportCompleted Experiment Canvas, Success MetricTest Matrix, Test Plan
Tagsno overlap
DecisionTreeOptions
ExperimentsValidationDiscoveryAssumptions
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryOptions
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