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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
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 of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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 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
MediumMediumHighLow
Timedifferent
3-14 Tage6 Wochen Cycle + 2 Wochen Cool-Down1-4 Wochen30-60 min
Participantsdifferent
50+2-4 pro Pitch1-61-5
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsPitches, Bet-table decisions, Hill charts, Cooldown outcomesExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
QuantitativeResearchValidation
PlanningDeliveryAutonomy
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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