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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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 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.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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down3-14 Tage30-60 min1-5 Tage
Participantsdifferent
2-4 pro Pitch50+1-5Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesSurvey Results, Charts, Segment InsightsCompleted Experiment Canvas, Success MetricClick Data, Interest Signal, Learning Decision
Tagsno overlap
PlanningDeliveryAutonomy
QuantitativeResearchValidation
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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