A presentation at the recent Avionics Maintenance Conference (AMC) provides an interesting case study to test various early warning systems for the detection of rising field failure issues. Given the large number of organizational interfaces involved in any field failure and the costs associated with any investigation, many field failure issues fester for a significant period of time before the commitment is made to identify the root cause of failure. A defined issue detection process will provide data to decision makers, support the development of organizational knowledge databases, and enhance customer satisfaction. Limited information for this case study is publically available. The intent of this article is to compare various possible issue detection threshold processes. Some physics of failure considerations will also be presented.