How Often Should School Leaders Review Academic Data?
- Stephanie Frenel
- Apr 21
- 2 min read
We know that learning doesn’t just happen at the end of the semester when test results roll in. It’s happening—and signaling—every single day. That’s why smart instructional leadership requires a rhythm for reviewing academic data that’s intentional, not overwhelming.
But with so many types of data—formative, diagnostic, summative, observational—how often should principals and vice principals really look?
Let’s break it down by data type and purpose.
🔍 Formative & Observational Data — Weekly or Biweekly
What it is (Examples):
Exit tickets, quick checks, do nows
Small group observations
Student work samples
Teacher team data discussions
Why it matters: This is your “real-time pulse” on what students are learning—and what they’re not.
Review cadence:
Weekly: In PLCs or grade team meetings
Biweekly: Classroom walkthroughs focused on evidence of learning
Use it to:
Spot instructional gaps early
Identify students who need small group or Tier 2 support
Coach teachers on checking for understanding and scaffolding
🧠 Diagnostic Data — After Each Assessment Window
What it is (Examples):
i-Ready, NWEA MAP, DIBELS, FastBridge
Beginning-of-year or mid-year benchmark assessments
Why it matters: Diagnostic assessments give a big-picture view of where students are starting—and what interventions or enrichments they need.
Review cadence:
3x/year: Fall, winter, spring (within a week or two of the window closing)
Use it to:
Group students for intervention
Compare to weekly and summative data
Set and adjust student growth goals
Align small group instruction or tutoring support
Communicate with families about progress
🧾 Summative Data — Monthly to Quarterly
What it is (Examples):
Unit tests, projects, final essays
District or schoolwide interim assessments
End-of-quarter grades
Why it matters: Summative data helps you evaluate mastery and track progress toward standards-based outcomes.
Review cadence:
Monthly: Brief checks of unit or interim data
Quarterly: Deep dives into grades and subgroup performance
Use it to:
Identify instructional strengths and gaps
Align PD or planning time to areas of need
Monitor equity in grading and assessment outcomes
Ensure interventions are actually impacting achievement
🗓️ Keep It Practical, Keep It Actionable
You don’t need to be buried in spreadsheets every day. Instead, build a data rhythm that fits your leadership flow. Here's an example:

The goal isn’t to collect more data—it’s to use what you already have strategically and consistently.




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