> For the complete documentation index, see [llms.txt](https://docs.myvega.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.myvega.ai/operations/analytics-and-report/user-analytics.md).
# 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:
1. Scroll to the **Test Results** section
2. 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:
* Running a coaching class
* Helping students prepare for SAT/GRE
* Offering 1-on-1 support
…it helps you personalize your teaching and boost results.
***
For further help, reach out to our support team at 📧 **** — we’re available 24/7.
