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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Three Horizons with its method-specific working model.
Business Strategy
Three Horizons
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption 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.Three Horizons helps clarify strategic options across different timeframes. It compares strengths, risks, market logic, and investment choices, and captures the result as a horizon map, portfolio view, and initiatives per horizon.When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 WochenHalbtags-Workshop, dann iterativ3-14 Tage45-60 min
Participantsdifferent
1-63-1250+2-8
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryHorizon map, Portfolio view, Initiatives per horizon, Resource planSurvey Results, Charts, Segment InsightsAssumption map, Test backlog, Risk ranking
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
StrategyInnovationPortfolioForesight
QuantitativeResearchValidation
AssumptionsRiskExperimentsValidation
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