In recent years, opportunities for young engineers to develop global health technologies have benefited from burgeoning developing markets, an influx of investments, and the potential for humanitarian impact. However, a consensus has yet to be reached for best-practices in this unique market. Specifically, the early stages of needs-assessment and product requirements can be a challenge for student design teams. Due to the complexity of sociocultural considerations, contextual inquiry can be difficult. Additional challenges are associated with prescribing quantitative metrics for verification, validation, and subsequent efficacy evaluation of a device. We propose quantitative metrics for filtering needs, developing a set of design best practices, and evaluating the success of devices in low resource settings. Quantitative validation will provide a basis for the optimal allocation of resources, development of best practices, and meaningful design iterations for devices serving under-resourced healthcare systems.