methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
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
Affinity Diagramming
UX Research
Affinity Diagramming
Empathy Mapping
UX Research
Empathy Mapping
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.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.When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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.
Complexitydifferent
HighHighLowLow
Timedifferent
1-4 Wochen4-5 Tage45–90 min30–60 min
Participantsdifferent
1-65-83-104-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryPrototype, Test Findings, Decision RationaleTheme clusters, Insight statements, Opportunity areasEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Design sprintPrototypeValidationInnovation
SynthesisQualitativeRoot cause
SynthesisQualitativeWorkshop
Add more methods