The Skills Report helps administrators monitor skill growth across their school(s) by tracking student progress over time with a dynamic Momentum Score and Smart Groups. The report aggregates data across the schools you manage, making it easy to identify trends, celebrate successes, and uncover opportunities for additional support.

Rather than focusing on a single classroom, the Admin Skills Report provides school and district-wide insights while still allowing you to drill down into performance by grade, teacher, skill, or individual student.

To help you see both the big picture and the fine details, the report organizes skills into two levels. It starts with broad Skill Categories (e.g., “Capitalization”) and then breaks them down into the specific, foundational Skill Sub-Categories that make them up (e.g., “Capitalizing Holidays” and “Capitalizing Dates”).

An active School or District Premium subscription is required to access the Admin Skills Report.

To access the report from the Premium Hub, navigate to:

Premium Reports → Skills Report

From there, you can filter and explore performance across the schools associated with your administrator account.

The report is built around two main sections, each offering a unique way to analyze school and district-wide data.

Within each section, you can choose how you'd like to group the data.

2. Performance Breakdown: This is your detailed view. It provides a sortable table containing key performance metrics for a more granular analysis of student learning.

After selecting a report section, choose how you'd like to organize the data.

Several filters allow you to customize the report.

Depending on your needs, you may filter by:

The report allows you to view results grouped by skill, grade, teacher, or student.

When you group by student, you see each student's individual results.

When you group by skill, grade, or teacher, students are combined, and the metrics displayed—such as Average Momentum Score and Average Questions Answered—represent averages across those students.

The calculation works the same way regardless of how the data is grouped:

Only students who practiced during your selected timeframe are included, and only the questions answered during that timeframe contribute to the calculations.

Suppose the Grade 5 view shows that three students practiced during your selected timeframe.

Each student answered ten Grade 5 questions and received Momentum Scores of 90, 65, and 85, respectively.

The report averages those scores:

(90 + 65 + 85) ÷ 3 = 80

The Skill and Teacher groupings work the same way; the only difference is which questions are included for each student.

Every question answered remains connected to the class where the activity was completed.

This means student work is associated with the class's grade level and teacher at the time the work occurred—not the student's current grade or current teacher.

For example, if a student completes activities while enrolled in a fourth-grade class, those responses remain associated with Grade 4 and that teacher. If the student moves into a fifth-grade class the following year, their previous work will continue appearing when viewing Grade 4, while their new work will appear under Grade 5.

This historical approach ensures the report accurately reflects where learning occurred over time.

Based on Quill's proprietary algorithm, the Momentum Score is the centerpiece of the report. It is a dynamic score that reflects a student's learning journey and is not just a basic percentage of questions answered correctly. The score is carefully calculated to reward accuracy—awarding a tiered number of points based on which attempt is correct—while also emphasizing recent growth by giving more weight to a student's latest work. To ensure fairness, it focuses purely on the target skill, meaning students are not penalized for unrelated mistakes such as spelling or punctuation.

The Activity-Level Score, as shown on other reports like the Activity Summary report, is a traditional percentage score based on the final outcome of an activity. It tells you the percentage of questions a student got correct, with a question being marked 'correct' even if it took multiple attempts to get the right answer. To learn more about how individual activities are graded, you can read this article: How does Quill grade activities?

In contrast, the Momentum Score provides a more dynamic picture of learning. It considers how a student arrives at an answer by awarding more points when they are correct on earlier attempts. Furthermore, the score gives more weight to a student's most recent practice, ensuring it reflects their current momentum and growth over time.

So while activity-level scores provide a static snapshot of correctness, the Momentum Score offers a broader, dynamic view of student progress. It helps teachers uncover patterns, identify strengths, address challenges, and celebrate meaningful growth over time.

It’s important to see how much practice has gone into a skill alongside the Momentum Score so you can gauge how confident you should be in its accuracy. Low exposure means the score is based on limited data and may be less reliable, while higher exposure provides a stronger foundation for confidence.

Skill Exposure is determined by the number of questions answered for the selected skill category or sub-category:

This metric provides a clear, actionable view of whether performance is improving, declining, or staying steady. It was designed to reduce noise from minor fluctuations by only displaying "Trending Up" or "Trending Down" when a meaningful change in the Momentum Score occurs.

While the Momentum Score shows a student's current level, the trend reveals their trajectory, allowing you to gain several key instructional insights:

By using the Performance Trend, you can move from reactive to proactive support, tailoring your instruction to a student's learning trajectory, not just their latest score.

Quill allows students to replay activities to improve their score, and these replayed questions are always eligible to earn full points. The Replay Rate shows what percentage of a student's practice is from replayed questions. It is calculated by dividing the number of questions replayed by the total number of questions answered, providing critical insight into their effort and learning process.

By analyzing the Replay Rate in context, you can gain several key instructional insights:

By exposing this data, you can better tailor interventions, monitor effort, and ensure that replays are being used effectively as a pedagogical tool.

The Smart Groups are powered by a customizable Momentum Score Goal.

By default, the goal is set to 80, creating four Smart Groups:

To change the goal that powers your Smart Groups, click the "Change goal" button.

A modal will appear where you can set a new goal between 50 and 100. When you save, your Smart Groups will automatically update.

After saving, your Smart Groups will automatically update.

Please feel free to send a message to the Quill team using the green message bubble in the bottom-right corner of the screen or email support@quill.org.