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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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 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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.
Complexitydifferent
HighLowMediumMedium
Timedifferent
1-4 Wochen30-60 min1-5 Tage1-2 h
Participantsdifferent
1-62-8Nutzertraffic4-12
Formatdifferent
AsyncWorkshopAsyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryPower Interest Grid, Strategy per StakeholderClick Data, Interest Signal, Learning DecisionAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
StakeholdersFacilitationAlignmentPlanning
ValidationExperimentsDemandDiscovery
AlignmentStakeholdersStrategyFacilitation
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