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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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.GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list.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
HighMediumMedium
Timedifferent
1-4 WochenWochen bis Monate je Goal30-90 min
Participantsdifferent
1-63-101-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryGoals, Idea bank, Step-project list, Tasks, Learning reportsDecision Tree, Option Map, Assumption List
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
RoadmapOutcomesPlanningExperiments
DecisionTreeOptions
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Often compared together

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

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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 of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping