Electrochemistry provides a pathway to green and sustainable chemistry, enabling precise molecular transformations while minimizing environmental impact. However, many electrochemical processes require electrocatalysts to overcome large overpotentials that result from sluggish kinetics of breaking and forming bonds. Molecular electrocatalysis, employing freely diffusing redox-active catalysts, provides synthetic handles to tune catalysts selectivity and activity. Mechanistic studies of molecular electrocatalysis require extensive screening across a broad parameter space, consisting of both solution conditions and electrochemical parameters that directly impact the profile of cyclic voltammetry (CV) measurements. Traditionally, this parameter space is visualized using a conceptual framework known as a kinetic zone diagram. Only a subset of possible parameter combinations within such diagrams yield current-potential profiles that can be directly evaluated to obtain kinetic and mechanistic information using analytical expressions. During a comprehensive experimental campaign, where many different catalysts and substrates are evaluated, it becomes prohibitively time intensive to manually identify kinetically insightful CVs.