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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
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
Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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
MediumHighLowLow
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
2-4 pro Pitch1-6Nutzertraffic1-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tagsno overlap
PlanningDeliveryAutonomy
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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