Currently, we have faculty score imported data fields such as GPA or Level of Need when conducting reviews of applicants. Doing so means students with higher GPAs or higher Levels of Need receive higher review scores and are prioritized for awarding. With large applicant pools, having reviewers manually score quantitative items can become tedious and time-consuming. It would be great if there were an automated feature that would automatically assign scores for certain items based on parameters set by the administrator (e.g., GPA of 4.0 = 10 points, 3.9 = 9 points, 3.8 = 8 points, etc.). This would save time for our reviewers and still allow us to assign different weights to unique elements of a rubric. Ultimately, we want administrators to be able to rely on the reviewer score without having to look at or filter against other information such as GPA.