If you treat experimentation as an iterative process, you can master the temptation to assume that one successful screening experiment has optimized your process. You can also avoid disappointment if a screening experiment leaves behind some ambiguities. The augment designer helps facilitate experimentation as an iterative process.
The augment designer modifies an existing design data table, supporting your iterative process. It gives the following five choices:
This chapter provides an overview of the augment designer. It also presents a case study of design augmentation.