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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side 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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-2 h1-4 Wochen45-120 min45-75 min
Participantsdifferent
3-121-62-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExperiment results, Decision log, Learning summaryTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesTest Matrix, Test Plan
Tagsno overlap
Systems thinkingTradeoffsLeadership
ExperimentsGrowthAnalyticsValidation
TradeoffsDecisionCriteriaOptions
ExperimentsValidationDiscoveryOptions
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