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Criterion
Empathy Mapping
UX Research
Empathy Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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.
Complexitydifferent
LowHighHighLow
Timedifferent
30–60 min1-4 Wochen1 Tag bis mehrere Wochen1-5 Tage
Participantsdifferent
4-81-64-10Nutzertraffic
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Empathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryProblem Statement, Prototype, Test LearningsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
InnovationPrototypeResearch
ValidationExperimentsDemandGrowth
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