BU
Attendance
District Wide
BR
Briana Kehoe
Director of Educational Services
Burton School District, Rural California
Finding the Root Cause: Using Attendance Data to Explain Academic Struggles
Root cause ID
None
Visible
New
Data combined
No
Yes
Unified
The Problem
Students were failing academically and the default response was more academic intervention — tutoring, small groups, extra practice. But the interventions weren't working for a significant subset of students. The team couldn't figure out why some students responded to intervention and others didn't. The data to answer the question existed — but it lived in separate systems. Academic data was in the assessment platform, attendance data was in the SIS, and behavior data was tracked elsewhere. No one was looking at all three together.
The Plan
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1Before assigning academic intervention, check attendanceIf attendance is below 90%, address attendance first. More tutoring doesn't help a student who isn't in the building.Data Wall Student Profile See example
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2Dual-track plans for students with both gapsAttendance outreach AND academic support. Track both on the same dashboard.Data Wall Events See example
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3Monitor whether improving attendance improves academicsThe dashboard makes the correlation visible. Resources redirected to the right students.Data Wall Analytics
The Team
Briana Kehoe, Director of Educational Services for Elementary, led the data integration effort.
Briana Kehoe
— Director of Educational Services, data analysis lead
Building principals
— Site-level implementation
Intervention teachers
— Adjusted intervention plans based on findings
Related Strategies
Attendance rate
71%
89%
Summer school seats sit empty and nobody knows until it's over
Daily 30-min cycle for 4-6 weeks
Post-break absences
+40%
+8%
Post-break attendance is tanking
20 min setup, runs automatically
Chronic Absence Rate
18%
11%
Chronic absence keeps climbing after every break
Weekly team huddle + daily dashboard review
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