This document discusses improving the simplicity of use of constraint programming (CP) for industrial applications. It argues that while CP can achieve good performance, it is difficult for engineers to learn, use, and maintain due to its complexity. The CP academic community focuses on adding new modeling features and techniques rather than usability, making CP even more complex over time. The document recommends that the CP community learn from the mathematical programming (MP) and SAT communities, which provide better out-of-the-box performance and usability. Specific recommendations include standardizing modeling languages and formats, improving search algorithms, adding explanations and optimization capabilities, and focusing on modeling practices and benchmarking running times.