User Analytics

Think of User Analytics as your private tutor’s notebook for every student. It helps you understand how one specific learner is performing — what they’ve mastered, where they’re struggling, how they manage their time, and even what kind of errors they keep making.

If Batch Analytics is about the group, User Analytics is about the individual story.

Why Use It?

Let’s say your student, Dhiren, took a few diagnostic and full-length tests, and now you want to know:

Is he improving?
What are his weakest areas?
Is he solving too slowly or too fast?
Is he ready for the real SAT?

Instead of guessing, User Analytics gives you a complete learning health check.

Where to Find It?

Go to Operations > Users
Click on the “View” button next to the student’s name

You’ll land on the User Analytics dashboard, like this:

What You’ll See (Overview)

The User Analytics page is split into different tabs for different types of test activity:

Diagnostic – Quick assessments to understand initial level
Play – Practice sessions and mini-modules
Full Length – Full mock exams like SAT, GRE, etc.

Score Analysis

At the very top, you’ll see a bar or line graph showing the predicted SAT scores across different sections (Reading/Writing, Math, and Overall).

For example, Dhiren’s Diagnostic Test 1 result looks like this:

Section

Score

Reading & Writing

640

Math

260

Overall

900

This gives you a quick sense of test readiness.

💡 If Math is lagging behind but Reading is strong, you know where to focus your tutoring time.

Mastery Score Breakdown (Per Topic)

Below the score graph is a topic-by-topic breakdown of how the student did in different subjects.

Here’s an example from the Reading section:

Each topic has a:

% Correct
Mastery Level Label (Novice, Intermediate, Advanced, Expert)

This helps you know:

Which specific topic (like “Words in Context” or “Central Idea”) the student needs help with.
What’s working well and can be reinforced.

Strengths and Weaknesses

This section is AI-generated based on recent tests. It shows:

Top 3 Areas of Strength — what the student is doing really well in
Top 3 Areas of Weakness — what they struggle with most

📌 This list updates automatically as the student progresses.

For example:

Dhiren is strong in “Linear Functions” and “Data Analysis”
He’s weak in “Linear Equations” and “Trigonometry”

Test Results Summary

Every test the student has taken is listed at the bottom with:

Test Name
Date
Projected SAT Score
Review Link

Clicking “Review Test” lets you deep dive into every question, correct answer, and solution (we’ll cover that in next part).

Time Management, Accuracy, and Deep Mastery Insights

Once you've seen the student's overall score and strengths/weaknesses, the next step is understanding how they got those results. This is where VEGA AI’s User Analytics goes deeper — analyzing time spent, accuracy, and topic-level mastery across different tests and question types.

Time Management

“Are they solving too slowly? Are they rushing through tricky questions?”

The Time Management section shows how much time the student spends per topic — and compares it with their peers. This helps you spot pacing issues.

Example:

Here’s what you’ll see:

A bar graph comparing Your Average Time (blue) vs Peers' Average Time (grey)
A summary sentence like: “You took 53 secs on average to solve a Reading question.”
AI-generated Top 3 Time Management Weaknesses, e.g.
- Inferences
- Text Structure
- Cross Text Connections

💡 If the student spends too long on easy topics or rushes through hard ones, this section will tell you.

Deeper Topic Mastery Score (LQ Mastery)

This is the heart of User Analytics. It tells you how well the student understands each topic — across different test attempts.

Example:

Each topic is tagged with a mastery label:

Label

Meaning

Novice

Just getting started

Intermediate

Basic understanding

Advanced

Confident in the topic

Expert

Very strong mastery

Master

Consistently perfect answers

You’ll also get AI-generated weaknesses based on this score.

Use this to assign revision material, easier practice sets, or 1-on-1 help sessions.

Accuracy Analysis

While mastery shows understanding, accuracy shows performance.

Example:

You’ll see the student’s accuracy % per topic
A visual bar graph helps you compare across subjects
AI suggests the Top 3 Accuracy Weaknesses

This tells you:

Are they making consistent mistakes in certain areas?
Are they overconfident in topics they haven’t mastered?

🔍 If a topic shows “Advanced” in mastery but has poor accuracy, it might be a guessing issue.

✅ Result Table with Win/Loss

At the end of the analytics tab, you’ll see a detailed breakdown of test questions and how the student performed.

Example:

Topic

Date

Mastery

Win/Loss

Words in Context

Aug 18

Expert

✅ WON

Text Structure

Aug 18

Novice

❌ LOST

Use this table to zoom in and see what’s working and what needs fixing.

Reviewing Questions, Understanding Mistakes & Taking Action

Once you've seen the scores, pacing, and accuracy of a student, the final step is reviewing their actual answers. This is where learning becomes personal — because now you’re looking at what they clicked, what they misunderstood, and how you can help them improve.

Let’s walk through how to do this.

Reviewing Test Questions

To review a student’s test attempt:

Scroll to the Test Results section
Click “Review Test” next to the test you want to open

You’ll land on a screen like this:

Each test is broken into modules (like Reading Module 1, Math Module 2), with:

Difficulty level (Mixed / Hard)
Number of correct answers
Total questions

Click “Review Module” to go deeper.

Question-by-Question Breakdown

When you review an individual question, you’ll see:

The full question text
The correct answer (in green)
The student’s selected answer (in red if incorrect)
A clear, readable solution explanation
Time taken to solve that question

This allows you to:

Understand where the student’s logic went wrong
Identify if it’s a reading mistake, concept confusion, or poor elimination
Train them on how to approach similar questions next time

This is the most actionable part — because it shows their thought process.

Full-Length Test Analytics Report

When students complete a full-length test, VEGA AI generates a complete summary report.

Example:

What you’ll see:

Overall predicted SAT score + breakdown by section
Mastery level by topic
Accuracy graph
Time management analysis
Cross-topic scores and sub-scores
ACT conversion (for US colleges)

At the bottom is a visual grid of question performance — blue for correct, red for wrong — giving you a bird’s-eye view of strengths and mistakes.

Turning Insights Into Action

Now that you know what the student got wrong and why, here’s how you can use that data:

What You See

What It Means

What You Can Do

High mastery but low accuracy

Careless mistakes or guessing

Teach double-checking strategies

Low time on tough questions

Rushing or skipping

Train on time balance & test pacing

Weakness in one topic (e.g. Geometry)

Conceptual gaps

Assign easier questions / revision resources

Strong topic (e.g. Words in Context)

Confidence area

Challenge with harder questions

Same error repeated

Misconception

Re-teach concept using analogies/examples

Summary: Why This Matters

User Analytics is like your co-pilot tutor. It doesn’t just show marks — it helps you understand why a student is struggling and how to fix it.

Whether you're: