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
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Kaizen Event.
Operations
Kaizen Event
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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
LowMediumMediumHigh
Timedifferent
1 h bis mehrere Wochen45-60 min0.5-5 Tage1-4 Wochen
Participantsdifferent
1-82-84-101-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeAssumption map, Test backlog, Risk rankingKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementLeanExperiments
AssumptionsRiskExperimentsValidation
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
Add more methods