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Criterion
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 for Fake Door Test
Product Discovery
Fake Door Test
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.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 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.
Complexitydifferent
HighMediumMedium
Timedifferent
1-4 Wochen45-120 min1-5 Tage
Participantsdifferent
1-62-8Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
TradeoffsDecisionCriteriaOptions
ValidationExperimentsDemandDiscovery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

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 decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas