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
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
3-14 Tage0.5-5 Tage1 h bis mehrere Wochen1-4 Wochen
Participantsdifferent
50+4-101-81-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdatePDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summary
Tagsno overlap
QuantitativeResearchValidation
LeanContinuous improvementOperations
Continuous improvementLeanExperiments
ExperimentsGrowthAnalyticsValidation
Add more methods