Action coordination profiles are part of a platform data processing technology that is distinct from but often complementary to the statistical method. It uses repeated measures or time series data to measure interactions (longitudinal associations, temporal contingencies) between and among variables or sets of variables for individuals. The interaction measures show how individual complex systems may control and regulate themselves, of how two or more individual systems may interact, of how complex systems may be controlled or affected by their environments including treatments, and of how individual systems may control or affect their environments. The systems can be object of investigation such as brains, organisms, patients, economies, investment markets, populations, machines, or processes. The actions can be physical, chemical, biological, behavioral, mental, or social. This invention can be used to help inform the process of building mathematical models. This invention also can be said to help make data speak by drawing generalized conclusions and making predictions about how individuals function and interact with their environments. Action coordination profiles and any resulting models can help advance basic and applied science.