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Criterion
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time.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.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
MediumLowLowHigh
Timedifferent
1-3 h1-5 Tage30-60 min1-4 Wochen
Participantsdifferent
5-30Nutzertraffic1-51-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Consensus Clusters, Theme Titles, Priority AreasInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summary
Tagsno overlap
FacilitationConsensusWorkshopAlignment
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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