Target 3 · 30 metres
Know what to fix before the next mock.
After every test, the AI Test Analyst breaks each student's paper down by chapter, question type and time spent. It separates concept gaps from careless changes and tells the mentor what to assign next.
- Report ready
- With results
- Seen first by
- The mentor
- Practice drawn from
- Your question bank
Pattern found
Spends 2.4 min per genetics question against a batch average of 1.3. Most errors are in dihybrid ratios, not concepts.
Careless marks lost
16 from 4 changed answers
Suggested for Mr. Deshpande
3 genetics practice sets, 1 doubt session on ratios
What it does
Inside AI Test Analyst
Weak chapters
Accuracy per chapter and topic, compared with the student's own history and the batch average.
Timing patterns
Minutes per question by chapter. A student who is slow but accurate needs different help from one who is fast and wrong.
Careless mistakes
Answers changed from right to wrong, skipped easy questions and negative marks from guessing, shown separately.
Suggested practice
Practice sets built from your own question bank, aimed at the student's weakest topics, ready for the mentor to approve.
Progress over weeks
Chapter accuracy across every test, so mentors can see whether last week's practice worked.
Batch view
Which chapters a whole batch struggles with, so faculty can re-teach a topic instead of fixing it student by student.
How it works
Four steps, nock to target.
- 01
Test ends
Online or OMR, every answer and its time is recorded.
- 02
Analysis
The analyst groups mistakes by chapter, type and timing.
- 03
Mentor review
The mentor sees the report and the suggested practice, and adjusts it.
- 04
Assign
Practice sets and doubt sessions go to the student with one tap.
Written for mentors, not for leaderboards
The report speaks to the person who can act on it. Mentors see plain findings such as 'spends 2.4 minutes per genetics question against a batch average of 1.3', with the questions that caused it.
- Every finding links to the questions behind it
- Mentors can dismiss or edit any suggestion
- Students see an encouraging version focused on next steps
Batch patterns for faculty
When 40% of a batch gets the same type of question wrong, it is a teaching problem, not a student problem. Faculty see those patterns per chapter and can plan a revision lecture.
- Most-missed questions per test
- Chapters below the batch's own average
- Students flagged for extra help, with the reason
Student wellbeing and responsible AI
Designed for teenagers under exam pressure.
No public labels
AI analysis supports mentors. It never labels a student as weak in front of others, and ranks are shared only as your institute chooses.
Minors' data stays close
Many students are minors. Their data is visible only to the institute, the student and their own parents.
A person checks in
When a student's scores or attendance drop sharply, the mentor is alerted so they can check in personally.
Encrypted, never sold
Data is encrypted in transit and at rest, and it is never sold or used for advertising.
AI Test Analyst questions
Does the AI grade students?
No. Scores come from the answer key. The AI only explains patterns in those answers and suggests what to practise.
Who sees the analysis?
The mentor sees the full report. The student sees a version focused on next steps. Parents see the progress card. Nobody else sees an individual's analysis.
How many tests before it is useful?
The first report is useful from one test. Trends over chapters become clearer after three or four.
Does it work for subjective answers?
For written answers uploaded in CA and UPSC courses, faculty marks are used. The analyst then tracks marks by topic over time.
Call your shot
Name the exam.
We set up the range.
Pick what you coach for. Your first batch, first test and first AI report can be live within a week of signing up.
NEET range: Chapter tests across Physics, Chemistry and Biology, and full 720-mark mocks with NTA-style negative marking.
Trial covers up to 200 students. No card needed.
