Problems are common in nearly all complex organizations. A Systems Engineering Problem Management Process (SEPMP; Olson et. al., 2012) was proposed in 2012, and the research in this dissertation presents an empirical analysis couple with a case study to validate and challenge the model. In order to evaluate the SEPMP, which extends a risk matrix to problem management in order to monitor problem timeliness and impact, it is necessary to define the significance of communicating these components of the SEPMP model. A correlation and regression analysis is employed using a set of observed problem data including the communication of impact and timeliness components as independent variables. The dependent variable is the problem management effectiveness, modeled as a function of the problem timeliness, process improvements accomplished, training actions completed, and delay to the process as a result of the issue. Timeliness communication and impact communication are revealed to be significantly predictive of effective problem management. Finally, a plan for additional research is suggested, including potential future analyses to include further empirical research and case studies of the employment of a robust problem management process, all of which may encourage recognition of the SEPMP as a standard tool for systems engineers.
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