AI-Driven Reports for STAAR Performance Reporting

Fast Facts

‍District: White Oak ISD (TX)

Students: 1,400

Schools in view: 3

Grades: 4th - 12th grade

Data sources used: DMAC (local assessment scores) + Skyward (enrollments and SPED records)

Visualizations: Performance averages, trend comparisons against STAAR standards

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Impact:

Tasks that previously took up to 2 hours can now be completed in seconds. Eliminating the need for specialized spreadsheet support.

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The Old Workflow

• Pull assessment data from DMAC.
• Pull enrollment and Special Education records from Skyward.
• Manually cross reference the two datasets in spreadsheets.
• Perform complex calculations (e.g., averages, trend analysis) by hand, often requiring colleagues with specialized formula expertise.
  

“Some of [this data analysis], I have to sit here for hours to calculate myself, because it doesn't give us that ability… I had to call special friends that know how to work formulas and spreadsheets and help me figure out some of that stuff. So this is going to save lots of hours of figuring that out. Awesome.”

Nexus user, White Oak ISD

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What Changed With Nexus

• Assessment scores from DMAC are pulled automatically — no manual exports.
• Enrollment and SPED data from Skyward are cross-referenced instantly.
• Averages are calculated and compared to current STAAR standards in real-time.
• Actionable reports are generated without spreadsheet work or specialized technical support.

“Took seconds to answer what used to take us 2 hours.”

Nexus user, White Oak ISD

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Districtwide Efficiency and Decision-Making

• Staff no longer depend on colleagues with spreadsheet expertise to generate critical insights.
• Administrators can quickly identify performance trends and allocate resources accordingly.
• Instructional strategies can be adjusted based on real-time data rather than delayed reports.

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Why It Matters

• Less manual work and faster turnaround for performance reporting
• More consistent, reliable analysis without risk of spreadsheet error.
• A clear path to support at-risk student groups through faster identification.
• Frees staff time to focus on instruction and intervention rather than data processing.

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