To meet the market demand, we analyze it using two major sources:
Regular analysis of users' studying process helps us reveal the weak parts of our courses, understand where and why users lose interest, what materials they understand better, and areas that need improving. Quantitative data and interviews allow us to constantly modify our content.
We collect quantitative indicators in different parts of our service to monitor its status and detect problems.
We regularly conduct interviews and content research to take into account the preferences of our users.
Feedback from our users allows us to determine hidden and hard to notice difficulties they are facing and correct the situation.
Analyzing data and receiving feedback allows us to be proactive and to introduce new ideas for our services.
Before we introduce new tools and ideas,
we test them to make sure the quality of
the service provided is high.
Once we made sure new ideas improve users' experience we do not hesitate to implement them into our services.
A system creates an interactive resume for every student. It includes user assessments on different metrics: time it takes to cover different materials, amount of mistakes made and many other things. For every user there is a chart of competences which allows to see how he has developed his skills.
A system of algorithms offers different courses to different students. Recommendations are based on behavior pattern and personal interests.
The platform adapts to every user from the moment he starts completing the course. The learning path depends on how many mistakes a user has made along the way.