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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
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
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
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.When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.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.
Complexitydifferent
LowHighHighHigh
Timedifferent
30–60 min1-4 Wochen4-5 Tage1 Tag bis mehrere Wochen
Participantsdifferent
4-81-65-84-10
Formatdifferent
WorkshopAsyncWorkshopWorkshop
Outputdifferent
Empathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryPrototype, Test Findings, Decision RationaleProblem Statement, Prototype, Test Learnings
Tagsno overlap
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
Design sprintPrototypeValidationInnovation
InnovationPrototypeResearch
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