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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Purposedifferent
Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-3 h1-4 Wochen1-5 Tage1-3 h
Participantsdifferent
3-121-6Nutzertraffic1-5
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
System Map, Dependencies, Leverage PointsExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
Systems thinkingMappingBoundariesChange
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
AnalyticsConversionGrowth
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