Batches Analytics
Understanding Batch Analytics
What is Batch Analytics?
Batch Analytics helps you take a deep look at how one specific batch (or group of users) is performing. A batch is a group of learners — like a classroom, coaching group, or training cohort — that you’ve created earlier in the Operations > Batches section.
In this view, you can pick a batch from a dropdown menu and see:
How that group is performing overall
What they are good at
Where they are struggling
How much time they are spending
What topics need attention
This helps you understand how your batch is learning as a group so you can take better actions — like revising topics, changing teaching pace, or helping specific users.
Why use Batch Analytics?
Imagine you're a teacher with 30 students in one class. Some are doing great, some are struggling, and some are somewhere in the middle. Batch Analytics is like a health report for your entire class.
It helps you answer questions like:
Is this batch ready for the next test?
What topic do they find most difficult?
Are they using their study time well?
Who in the batch needs more help?
This makes it easier to teach smarter, not harder.
What You’ll See in Batch Analytics
Once you select a batch from the dropdown, the page will show detailed data for that batch only.
1. Performance Zones (Red, Yellow, Green)
Just like in overall analytics, learners in the batch are grouped into:
Red Zone – Low mastery; needs help urgently
Yellow Zone – Medium mastery; some understanding but still improving
Green Zone – High mastery; doing very well
You’ll see how many users fall into each zone. This tells you how the batch is doing as a whole and which learners to focus on.
2. Average Mastery Score
This shows the average learning score for all users in the batch. It gives you a quick snapshot of how confident and prepared the batch is overall.
For example:
A score above 80 means your batch is strong
Around 60–70 means they’re doing okay
Below 60 means they need more support
This helps you decide if you should move forward, revise, or slow down the pace.
3. Common Errors
This shows what types of mistakes the batch is making most often. For example:
Grammar errors in subject-verb agreement
Math mistakes in word problems
Confusion in reading logic questions
If many learners are making the same mistake, it’s likely a teaching gap, not just a student mistake. This tells you what needs to be explained again.
4. Time Management
This graph shows how much time the batch is spending on different question types or sections.
You can see:
If users are spending too much time on easy questions
If they are rushing through difficult ones
If they’re balancing time well in full tests
Why it matters:
Helps you train them to manage time better, especially for exams like the SAT or GRE
5. User-Level Table (Within the Batch)
You’ll also get a list of all users in the batch with details like:
Their Mastery Score
Number of questions attempted
Time trained
Learning Journey assigned
A link to see their personal analytics
This helps you zoom in on individuals who are falling behind or leading the way.
How You Can Use Batch Analytics
Is the batch doing well overall?
Mastery Score and Zone Distribution
Adjust teaching speed or batch schedule
What topics are weak?
Topic Mastery bars
Revise or assign extra practice in those topics
What errors are common?
Error pattern section
Re-teach those areas to the whole batch
Is time being used wisely?
Time Management graph
Coach learners on pacing and test strategy
Who needs 1-on-1 help?
User list with low scores
Schedule personal sessions or extra tasks
Batch Analytics is your teaching assistant. It gives you clear insights about how your group is doing, so you don’t have to guess. It helps you make smart decisions that can really improve learning outcomes — for everyone in the batch.
Need more support? Our support team is available 24/7 through:
Email: support@myvega.ai
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