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
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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
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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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
1 h bis mehrere Wochen30-120 min1-4 Wochen1-5 Tage
Participantsdifferent
1-82-61-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeObservation Notes, Improvement IdeasExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Continuous improvementLeanExperiments
LeanObservationProcessOperations
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
Add more methods