The Shipboard Mobile Aid for Training Evaluation (ShipMATE) effort to pair advanced performance measurement methods with state-of-the-art hand-held PC technology supporting training in a scenario-based environment has produced numerous lessons learned. It is time to review findings and prepare for transition of methods, tools, related strategies, and technologies to the user community. One ready target for transition is the Afloat Training, Exercise And Management System (ATEAMS). ATEAMS seeks to provide an automated process to manage Objective-Based Training (OBT). As originally envisioned, ATEAMS required use of cumbersome and error-prone paper-based data collection tools. Once data was collected, it had to be reduced and stored in a format and medium that would support useful reporting functions and allow future training evolutions to be informed by historical performance trends. These factors represent formidable obstacles to using behaviorally anchored performance measurement methods to enhance performance. While ShipMATE-like technology provides a potential solution to this challenge, hand-held PCs (HPC) are prohibitively expensive. The advent of increasingly capable, less expensive hand-held devices (HHDs) provides a technology-based solution that enables a digital data collection, reduction, and storage process. The HHD affords the developer the ability to transform a static measurement tool into an interactive performance measurement tool that can be tailored to an individual's level of expertise, check input, prompt for actions, and generally increase the consistency with which a methodology is administered. This paper details research into the use of emerging hand-held computers and associated software development environments to assist trainers in the measurement of performance, specifically, in support of the development of a prototype HHD for ATEAMS. Integration of the HHD with ATEAMS will significantly increase the usability of this software, and hence, increase the training potential of ATEAMS and BFTT.