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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.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
LowLowHighLow
Timedifferent
30–60 min1 h bis mehrere Wochen1-4 Wochen1-5 Tage
Participantsdifferent
4-81-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Empathy Map, Assumptions List, Research GapsPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
SynthesisQualitativeWorkshop
Continuous improvementLeanExperiments
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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