Recommended Student Data Metrics for High-Impact Tutoring Programs

Purpose: The following chart below summarizes recommended metrics for understanding the implementation and impact of high-impact tutoring, with a focus on supporting equitable outcomes.

1. Minimum Metrics - At a minimum, data around these metrics should be collected.
Metric By Student	Data Collected	Frequency
Student Characteristics	Economic disadvantage indicator Gender-identity Grade level Individualized education plan (IEP) status Multi-language learner (MLL) status Race	Collect at the beginning of the tutoring program.
Academic Outcomes	Academic performance in tutored subject Use consistent assessment to understand progress. Recommend a validated school-administered assessment that occurs at least three times per year to minimize student assessment time.	Collect at the beginning, middle, and end of the program.
Length of Program	Number of weeks over which tutoring occurred	Collect for each student.
Tutoring Attendance	Number of sessions scheduled Number of sessions attended For each session attended: Date Number of minutes present Group size Tutor ID	Collect at each tutoring session.
Tutored Subject(s)	Grade level Tutored subject	Collect at the beginning of the tutoring program.

2. Additional Metrics to Consider - If you have additional time and capacity to track the following metrics, these can provide insight and impact data for your program.
Metric By Student	Data Collected	Frequency
School Attendance	Present/Absent	Collect daily.
Tutor and Student Experience Outcomes (for students 4th grade and above)	Enjoyment Impact Note: Use consistent assessment to understand progress. Example Tutor and Student Surveys	Collect at least 2 times during the tutoring program.
Social Emotional Outcomes	Gender Race Student confidence, growth mindset Student engagement Note: Use consistent assessment to understand progress. Example Pulse Checks	Collection will vary – could be at each session or the beginning and end of the tutoring program.
Tutor Characteristics	Tutor Qualification Type (certified teacher, paraprofessional, other school personnel, community member, college student, etc.)	Collect for each tutor prior to the start of the first tutoring session.
Student Characteristics	Other available demographic information (e.g., homelessness)	Collect at the beginning of the tutoring program.
Academic Outcomes	Academic performance in non-tutored subjects	Collect at the beginning and end of the program tutoring.