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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 of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
MediumMediumMediumHigh
Timedifferent
3-14 Tage6 Wochen Cycle + 2 Wochen Cool-Down45-60 min1-4 Wochen
Participantsdifferent
50+2-4 pro Pitch2-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsPitches, Bet-table decisions, Hill charts, Cooldown outcomesAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
QuantitativeResearchValidation
PlanningDeliveryAutonomy
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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