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Predict Student Success from Kindergarten through Postsecondary Education

The BrightBytes Student Success module leverages historical data and research-based predictive analytics to determine a student’s risk of not meeting the key milestones along the K-20 continuum.


Access a Comprehensive View of Each Student’s Education Journey

The BrightBytes Student Success module individualizes dropout prediction and prevention, and informs postsecondary readiness across two advanced, research-based algorithms. The module provides educators with predictive measures to ensure students graduate from high school and master the skills necessary to thrive in a college environment.


Discover the Benefits of Student Success


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The Student Success Framework

The Student Success framework consists of three domains supported by 31 Success Indicators associated with the risk factors within each organization’s model.


Analyze coursework and assessments, including advanced courses and college entrance exams

Monitor major and minor behavioral incidents and review assigned consequences

Review tardies, attendance overall, attendance in the first 30 days, and any chronic absenteeism behavior


What Our Customers Say

BrightBytes’ research-based predictive algorithm gives us the ability to customize the identification of student needs and provide resources that ensure student success. It provides us with a micro and macro view of our district, and allows us to make more data driven decisions and connect research to practice.”
lf there is one thing we do in education, we take care of children. When you know that a child needs something, you do your best to get it to them. The BrightBytes Student Success module changes the emphasis of intervention from nebulous to an individual student. With this solution, we have an effective and efficient way of identifying at-risk students earlier.”