This workshop introduces a graphical tool for designing studies in JMP that helps you build complex models visually. We review concepts such as what a model is, why crossing and nesting matter, and when fixed versus random effects are appropriate. Through three practical case studies – a pharmaceutical method validation, a manufacturing gauge study, and a process characterization example – learn how to design experiments that allow you to study complex, real‑world problems. Despite its name, the MSA Design platform is useful far beyond traditional measurement systems analysis and can be applied to a wide range of problems where multiple sources of variation must be handled correctly.
