Currently, the learning process requires deep optimization, and this optimization can be achieved using the digital footprint in the student’s project activities. We proposed three types of digital footprint depending on the information system used. In order to analyze the achievements of educational results and adjust the personal learning trajectory, it is precisely necessary to use the digital trace of project activities. To collect and analyze the digital footprint, we need to use special software, which was discussed in this article. And we also determined the characteristics and indicators for assessing the digital footprint in a student’s project activities. Conclusions: the study found that effective mastery of the digital footprint plays a key role in the development of digital educational environment methods. This includes creating digital portfolios for students, developing digital profile systems, as well as personalized learning programs. In addition, it is necessary to introduce mechanisms for assessing educational effectiveness, feedback from students and predicting educational results; it is also worth paying attention to the development of methodological support for the educational process. Data analysis based on the digital footprint allows you to make informed decisions in the field of education, since it records not only the progress of educational activities, but also its results.