EVALS is the combination of two DoD SBIR projects (RITE-MT) and (D4ET). Analyzing and projecting best case scenarios for large and complex data sets. This has primarily been done via mass document excel spreadsheets all decentralized and shared among many. EVALS provides an all in one package to import, record, and analyze data.

Start by inputting custom training domains and systems. Build out your tree and information architecture. Enter various variables based on those systems parameters, and record your analysis. Or import data via an API such as the PETS database or a proprietary trainer. After your data is complete you can run ROTI and other analysis algorithms to determine the best outcome.

This project is extremely in depth and has many many levels of complexity. There were hours and hours and hours of meetings and discussion about each and every component. With white-table after white-table of design comps. The site contains over 60 individual html pages. Built with the awesome angular and yeoman back-end.

Client: Department of Defense