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Criterion
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.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
LowMediumHigh
Timedifferent
Stunden bis wenige TageOngoing1-4 Wochen
Participantsdifferent
1-42-201-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Pretotyping sketch, Test setup, Conversion data, Go or no-go decisionChat Transcript, Action Log, AutomationsExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationDemandMVP
CollaborationEngineeringIncident
ExperimentsGrowthAnalyticsValidation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping