Identify At-Risk Students as Early as First Grade with Over 90% Accuracy

The Brightbytes Early Warning module, developed in partnership with Mazin Education,™ uses predictive analytics to identify at-risk students on a continuum of risk based on each organization's actual data.


Timely, Individualized Risk Prediction and Prevention

Decrease risk factors and increase student outcomes with next generation predictive analytics. Change the trajectory of students' lives by identifying students at risk of dropping out based on a dynamic combination of each district's historical data and data from the SIS. 


Discover the Benefits of Early Warning

States & ESAs

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States & ESAs

  • Increase graduation rates by identifying students earlier and with greater accuracy
  • Compare side-by-side regional graduation rates and trends to determine where support is needed most
  • Identify and increase protective factors necessary to a positive learning environment



  • Intervene early with the information necessary to change student trajectories
  • Track student risk behavior data to ensure equity in access to support resources
  • Empower staff to identify and connect students with the right programs and support 



  • Identify at-risk students early and intervene with necessary support
  • Deliver timely, insightful information to drive collaboration and support instructional decisions

A Comprehensive Guide to Predictive Analytics



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Learn more about the Early Warning module!

The Early Warning Framework

The Early Warning framework consists of four domains supported by 24 Success Indicators that are associated with the risk factors within each organization’s model. 


Monitor major and minor behavioral incidents, including referrals and expulsions

Review student profiles of age, 504 status, mobility, gender, and more

Analyze GPA, assessment scores, pass rate, and course requirements

Access tardies, attendance in the first 30 days, and attendance overall


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.”
I really feel that BrightBytes is a fantastic tool for targeting at-risk students. This would have been extremely beneficial in catching my granddaughter in elementary school and applying interventions earlier.”