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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Red Teaming method illustration showing its working structure
Decision Making
Red Teaming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumHighHigh
Timedifferent
30-90 min1-4 h1-4 Wochen
Participantsdifferent
1-63-81-6
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListChallenge Findings, Risk Register, Mitigation PlanExperiment results, Decision log, Learning summary
Tagsno overlap
DecisionTreeOptions
RiskDecisionSensemaking
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Argument Mapping
Decision Making
Argument Mapping