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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 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 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
MediumMediumLowHigh
Timedifferent
3-14 Tage6 Wochen Cycle + 2 Wochen Cool-Down1-5 Tage1-4 Wochen
Participantsdifferent
50+2-4 pro PitchNutzertraffic1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsPitches, Bet-table decisions, Hill charts, Cooldown outcomesInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
QuantitativeResearchValidation
PlanningDeliveryAutonomy
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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