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Criterion
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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 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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
LowHighLowLow
Timedifferent
5-15 min1-4 Wochen30-60 min25-40 min
Participantsdifferent
3-201-61-51-5
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Ranked list, Consensus signal, ShortlistExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success MetricLearning Card with evidence and next action
Tagsno overlap
FacilitationVotingConsensusPrioritization
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryLearning
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