Despite the accelerated development of an array of nondestructive testing (NDT) devices in the last decades, their use in a meaningful way in the design stage has not been done in a systematic manner. Each device has certain limitations and is applicable under specific conditions. Despite significant efforts on ensuring the NDT devices are calibrated and functioning properly, the proper use of the collected data with these NDT devices in the day-to-day design has been ambiguous. For example, the reproducibility and speed of collection of FWD deflection data are excellent. However, the backcalculation process is non-unique, especially for complex multilayer systems. Recent work related to the calibration of multilayer pavement response models with actual field data has shown that without careful backcalculation, the predicted critical strains within different pavements will be significantly different than the measured ones. One way of using FWD data more practically and pragmatically is to use indices. How much contrast in properties and to what extent the contrast should exist for providing adequately accurate information to the designer? Based on the background above, the objective of this project is to establish the usefulness and the probability of successful detection of defects by traditional and new NDT methods as a pre- design survey tool so that the design engineers will know which NDT device to deploy when and how to use the data to improve their design.