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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Starbursting with its method-specific working model.
Innovation
Starbursting
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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.Helps clarify ideas, open questions, and testable next steps in concrete terms. It opens the thinking space, collects ideas, and leads to testable options. The result is captured as a star-shaped question map, question list, and assumption list.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
HighLowMedium
Timedifferent
1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
1-63-10Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryStar-Shaped Question Map, Question List, Assumption ListClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
BrainstormingIdeationWorkshopDiscovery
ValidationExperimentsDemandDiscovery
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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
A paper-based illustration representing Brainstorming with its core stages and visible working result.
Innovation
Brainstorming
Paper illustration of Design Charrette with its method-specific working model.
Innovation
Design Charrette
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas