This document discusses the gap between mathematical optimization tools and real-world applications. It covers several key areas in bridging this gap, including having different stakeholders with different objectives, using appropriate language and terminology, properly defining the problem, dealing with data issues, determining good solutions, and facilitating solution display and user interaction. The goal is to provide approximate answers to the right real-world problems, rather than perfectly solving simplified mathematical abstractions.