In order to enhance the workers productivity, it is necessary to identify and optimize the workflows with respect to main influencing factors. In software development industry, as well as in other areas with prevailing intellectual work, these workflows are often implicit and highly variable, and the product quality and worker performance to the large extent depend on the worker current psychophysical state. We propose to regain missing information by using a system to acquire and process the data about the developers’ states and activities. To generate the data, portable sensors and computer software plugins are used. Based on the data, the system generates a feedback allowing the users to better plan and complete tasks with respect to their state and personal work processes. In this paper we present the system architecture and describe main technical decisions.