Design of Experiments (DOE) is a systematic approach used to plan, conduct, and analyze experiments. It helps researchers understand the effects of multiple variables on a particular outcome. By carefully controlling and varying these factors, DOE allows for more reliable conclusions and insights. In DOE, experiments are structured to minimize bias and maximize the information gained. Techniques such as randomization, replication, and blocking are employed to ensure that results are valid and can be generalized. This methodology is widely used in fields like agriculture, manufacturing, and pharmaceuticals to optimize processes and improve product quality.