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Criterion
Paper illustration for Expectation Mapping.
Facilitation
Expectation 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
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge.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
LowHighLowLow
Timedifferent
45-90 min1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
3-121-6Nutzertraffic1-5
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Expectation Map, Alignment Notes, AgreementsExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tagsno overlap
AlignmentStakeholdersTeam
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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