Design of Experiments enables the efficient planning and optimization of unit operations and analytical methods through the development of statistically sound models, while minimizing  experimental effort. This approach allows the identification of Critical Process Parameters (CPPs) and their relationship with Critical Quality Attributes (CQAs) — key concepts within the QbD framework — thereby improving process knowledge and product quality. 

We assist our clients in the application of DoE methodologies, providing guidance in experimental design, model building, and statistical interpretation.