The conventional framework of the kinetic zone diagram revolves around the discretization of all possible CV profiles into a small number of zones, with the boundary lines judiciously chosen based on key features of the dimensionless CV, such as peak widths, peak heights, and half-wave potentials. However, the discrete nature of the kinetic zone diagram fails to reflect the continuous change in the CV profile across the parameter space. Because of this, CV profiles at zone boundaries are difficult to classify due to mixed identifying features. To this end, we sought to develop CV descriptors that would capture the continuous nature of the zone diagram, enabling optimization for kinetically insightful CVs in the KS zone.