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Criterion
Paper illustration for Soft Systems Methodology.
Systems Thinking
Soft Systems Methodology
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
Soft Systems Methodology helps explore unclear or politically charged problems systematically. Instead of forcing a quick answer, the method builds a shared understanding of perspectives and room for action.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighHighLowLow
Timedifferent
0.5-3 Tage1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
5-151-6Nutzertraffic1-5
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Rich Picture, Root Definitions, Conceptual Models, Change AgendaExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tagsno overlap
Soft systemsComplexitySensemakingSystems thinking
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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