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Criterion
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 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.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
1-3 h1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
2-81-5Nutzertraffic1-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Gap Matrix, Action Plan, Risk NotesFunnel report, Drop-off analysis, Optimization hypothesesClick Data, Interest Signal, Learning DecisionExperiment results, Decision log, Learning summary
Tagsno overlap
StrategyAnalysisPlanning
AnalyticsConversionGrowth
ValidationExperimentsDemandDiscovery
ExperimentsGrowthAnalyticsValidation
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