In response to an ever-increasing need for efficiencies, companies seek to leverage information for proactive response to challenges that may arise on the factory floor. Although manufacturing facilities collect a wide variety of information, they struggle to effectively communicate among departments and utilize data efficiently to make appropriate decisions. In this project, we aim to develop and validate a decision support system called FactBoard, which will facilitate the flow of information from a factory floor to key decision makers. Working with a large manufacturing company, team members shadowed various positions at two different assembly plants. Using observational and information system data, we defined ten distinct employee personas, the information each requires, and the information each must broadcast to facilitate decision-making for higher productivity and efficiency. The personas include assembly workers, team leaders, and supervisors; material coordinators, material handlers, and third-party logistics providers; inspectors and engineers in the quality department; and production schedulers. This paper compares and contrasts existing processes at the two facilities, describes personas for different FactBoard users, and discusses ongoing and future work.