In this work, we used a mixed approach using two kinds of codes, concept-driven and datadriven. Data-driven or grounded coding allows themes to emerge from the documents, while concept-driven a priori coding applies pre-existing theoretical frameworks to analyze the documents . Trained engineer and the interviewer for the study, Erin Looney employed concept-driven coding with pre-existing hypotheses and framework. Andre Buscariolli, a trained sociologist, employed data-driven coding with no pre-existing framework. Through a series of meetings, the codes found in common or mutually agreed upon through compelling evidence by both coders are pursued. Through this work, over a dozen codes were found for the 55 interviews and were iterated upon until several specific coded themes developed.