Early Warning Systems for Academic Intervention: A Guide for District Leaders

By Katherine Malitzky Senior Director of Academic Catapult Learning

When I was a principal in Brooklyn, New York, one of the most important things we did each year happened in the first week of school.

Every new student completed a quick diagnostic. Eva, a new first grader, could not write her name, identify letters, or count to ten. Her teachers saw it immediately. It was a warning sign in week one, not October.

Catching Eva was the easy part. What mattered was what happened next. Who reviewed the results? What confirmed the gaps? Which intervention started, and who tracked it? For district leaders, those questions cannot be left to chance school by school. Early warning systems answer them with a consistent process, and strong academic intervention identification is what makes your student intervention services work.

Start with student screening

Universal student screening is the foundation. Every student takes the same brief, validated assessment, typically three times a year, and new students are assessed at entry. This is how a school finds a student like Eva in week one instead of month three.

At the district level, confirm that your tools are validated for each grade band, predictive of later outcomes, and quick enough for teams to act on. The National Center on Intensive Intervention screening tools chart is a useful starting point. Screen reading and math across K-12, not just early literacy.

Add risk indicators for a fuller academic risk assessment

Screening shows where students stand. Risk indicators show whether they are trending the wrong way. The most common framework is the ABCs:

• Attendance: missing 10 percent or more of school days
• Behavior: referrals, suspensions, or signs of disengagement
• Course performance: failing or declining grades in core subjects

Research from Johns Hopkins found that sixth graders with even one of these signals were far less likely to graduate on time without intervention (Balfanz, Herzog, & Mac Iver, 2007). Together, screening and indicators give you a complete academic risk assessment.

Set MTSS decision rules across the district

Within a multi-tiered system of supports, decision rules are the thresholds that trigger a specific action. When they are set district-wide, a student flagged in one school is treated the same as a student flagged in another. Examples, to calibrate locally:

• Below the 25th percentile on a screener: administer a diagnostic and begin Tier 2 planning
• Below the 10th percentile: consider Tier 3 and refer to the student support team
• Failing a core subject at the first marking period: team review within two weeks

Use multiple data points, name an owner for every action, and check capacity first. If your rules flag 40 percent of students for Tier 2, that is a resourcing conversation before it is a student conversation.

Connect identification to targeted student support

Identification only matters if it leads to the right help. A screener tells you a student is at risk. A diagnostic tells you why. For Eva, that meant pinpointing the missing foundational skills so instruction started exactly where she was.

Targeted student support works best when it is aligned to classroom instruction, delivered in small groups, and scheduled consistently. High-impact tutoring can serve as a strong Tier 2 or Tier 3 option, and the research on high-dosage tutoring is substantial (Nickow, Oreopoulos, & Quan, 2020).

Monitor, exit, and review the system

Compare each student’s progress to a goal trajectory, adjust when the data says to, and define exit criteria in advance. Each year, review the system itself. Are thresholds identifying the right students, and are any student groups over- or under-identified?

The takeaway

Screen every student, add risk indicators, write decision rules in advance, match students to the right tier, and monitor progress. None of it requires a new platform. It requires clarity about who does what, and when.

Catapult Learning partners with public school districts to deliver high-impact tutoring and intervention services connected to your MTSS data and priorities. Contact us to start the conversation: https://catapultlearning.com/high-impact-tutoring/#contact

What is an early warning system in K-12 education?

An early warning system is a district-wide process for identifying students at risk of academic failure or dropping out before they fall significantly behind. It combines universal screening results with the “ABC” indicators (attendance, behavior, and course performance) and applies pre-set decision rules that trigger a specific intervention, owner, and timeline for every flagged student.

How is an early warning system different from universal screening in MTSS?

Universal screening is one input to an early warning system, not the whole thing. A screener measures where a student’s skills stand at a point in time, typically three times a year. An early warning system adds trend indicators like attendance and grades, sets the thresholds that move a student into Tier 2 or Tier 3, and defines who acts on the result and by when. Screening finds the student; the system makes sure something happens next.

What percentage of students should be identified for Tier 2 and Tier 3 intervention?

A commonly cited MTSS benchmark is that core instruction should meet the needs of about 80 percent of students, with roughly 15 percent needing Tier 2 targeted support and about 5 percent needing Tier 3 intensive intervention. If a district’s decision rules flag far more than that, it usually signals a core-instruction or threshold-calibration issue rather than a true intervention caseload, and it should prompt a resourcing conversation before students are assigned to tiers.