Multi-stage hydraulic fracturing has been implemented in conjunction with horizontal drilling in order to make unconventional, low-permeability reservoirs economically viable. Earlier studies from the development of the Barnett Shale have suggested that high fluid volumes and low proppant concentrations were necessary to generate sufficient stimulated reservoir volume (SRV). However, other shale plays, including the Eagle Ford, have formation material with higher ductility and exist in an anisotropic stress environment that tend to generate planar fractures, where lower fluid volumes and higher proppant concentrations are more appropriate.One operator began exploring their Eagle Ford acreage by utilizing sliding sleeve systems in cemented casing, while trying to determine the best depth within the Eagle Ford sequence to target. Once the drilling target was decided upon, the operator transitioned to a plug-and-perf type of completion in cemented casing in order to improve formation contact and recovery. This provided an opportunity to evaluate different completion designs with enough variability in the data to evaluate fracture performance. This paper will explain the process used to evaluate drilling, completion, and production information in order to discover the parameters that have the highest influence on well productivity. Completion parameters were evaluated against production performance in a variety of ways, including bivariate, multivariate statistical analysis, and neural network modeling. One parameter that was discovered to have high impact was the amount of proppant used per effective cluster, and the data indicated that more proppant was required than what prior experiences in shale stimulations suggested. Changes to the completion and stimulation design were made based on this analysis, resulting in improved production results.