6 Research-Backed Questions Every Tutoring Leader Should Ask Their Data
Most district administrators know that high-impact tutoring works. The research base is strong and growing. But knowing that tutoring works in general does not tell you whether your program is designed to capture those effects—or where the gaps might be.
That is where research becomes most valuable: not as proof that tutoring matters, but as a lens for understanding where to look and what patterns to pay attention to in your own data.
The National Student Support Accelerator at Stanford has published a body of research that identifies specific, measurable conditions linked to better tutoring outcomes. Below are six findings from that work, each paired with the kind of question it should prompt you to ask about your own program and how you can begin to answer it today.
Asking Better Questions, Faster
For many districts, the challenge is not access to data—it is access to answers.
Program data often lives across systems, spreadsheets, and reports. Even when the information exists, it can take time to pull it together, interpret it, and turn it into something actionable.
That is beginning to change.
With tools like the Admin Assistant, powered by Pearl AI, leaders can explore their data more directly, asking questions in plain language and quickly identifying patterns across attendance, participation, and program delivery.
The goal is not to replace existing workflows. It is to make program insight easier to access, so teams can spend less time building reports and more time understanding what is happening.
Each section below includes example questions you can use to begin exploring your own data.
1. Which students are missing tutoring sessions—and where are the patterns?
NSSA researchers found that students are 7% less likely to be absent on days when tutoring is scheduled, with middle schoolers showing effects nearly twice as strong. For chronically absent students in particular, tutoring can serve as an anchor—a reason to come to school.
But that anchor only works if students are actually showing up to their sessions. Understanding which students are consistently missing tutoring, and whether the problem is concentrated at certain schools, programs, or grade levels, is the first step toward strengthening attendance across the board.
Ask the Admin Assistant:
“Look at our tutoring data and identify opportunities to improve attendance. Which schools or programs have the highest rates of missed sessions, and are there patterns by grade level or student group?”
2. How much of your scheduled tutoring time is actually being used?
Research on virtual tutoring sessions found that 19% of instructional time is lost to disruptions: roughly 9% to technical issues and 7% to behavioral ones. Sessions held in dedicated spaces with smaller groups lose significantly less time.
Most programs track whether sessions occurred. Fewer track how much of the scheduled time was actually productive.
Ask the Admin Assistant:
“Compare scheduled session duration to actual session time across schools and delivery types. Where are we losing instructional time, and are there patterns by group size or format?”
3. Are all student populations participating in tutoring equitably?
One of the most important NSSA findings is also one of the most challenging: when tutoring access is opt-in, only about 19% of students participate, and students who need support the most are often the least likely to engage. Without intentional design, programs can unintentionally widen gaps.
This is a structural question, not a motivation problem.
Ask the Admin Assistant:
“Analyze tutoring participation across student groups. Are our lowest-performing students receiving support at the same rate as others, or are gaps emerging?”
4. Are certain student groups less engaged than others?
Research on tutor-student alignment shows that engagement is not uniform. Different student groups may experience the same program differently, which can influence both participation and outcomes.
Ask the Admin Assistant:
“Identify patterns in student engagement. Are there groups with lower attendance or engagement signals, and in which programs?”
5. Are your students getting the dosage that research says works?
The research on tutoring intensity is clear: frequency, group size, and consistency all play a significant role in outcomes. High-frequency, in-school tutoring tends to produce the strongest results.
Many programs are designed to meet these thresholds, but actual delivery often varies.
Ask the Admin Assistant:
“Show how many students are receiving three or more sessions per week. Where are we falling short of intended dosage, and how does group size vary across programs?”
6. Does your program design align with what research shows works?
A meta-analysis of 96 randomized controlled trials found an average effect size of 0.37 standard deviations across tutoring programs. But results varied widely based on program design.
Delivery model, tutor type, session timing, and subject area all influence effectiveness. These are not abstract findings; they are design decisions.
Ask the Admin Assistant:
“Compare our program design to research-backed practices. Where are we aligned, and where are the biggest gaps in delivery, frequency, or structure?”
From Research to Practice
Research does not replace the judgment of program leaders. But it does help clarify which questions are worth asking.
The six areas above—attendance, instructional time, equitable access, student engagement, dosage, and program design—represent the conditions most consistently linked to stronger outcomes.
What is changing is how easily those questions can be answered.
With Pearl AI powering tools like the Admin Assistant, leaders can move from asking “what should we be looking at?” to understanding “what is happening in our programs?” without adding complexity to their teams.
Start with One Question
Start with the question that feels most urgent.
Ask it. Explore the data. Look for patterns.
Because improving student support does not start with more reports.
It starts with understanding what’s working—and what to do next.
Explore how Pearl helps districts connect research to real-time data, so you can understand what’s working and where to act next. Schedule a walkthrough.