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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
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.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.When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.
Complexitydifferent
HighMediumLow
Timedifferent
1-4 Wochen45-75 min30-60 min
Participantsdifferent
1-62-82-8
Formatdifferent
AsyncWorkshopWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryTest Matrix, Test PlanPower Interest Grid, Strategy per Stakeholder
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
StakeholdersFacilitationAlignmentPlanning
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Often compared together

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

Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card