Adamas Tech is an international Ed-Tech brand that focuses on teachers & students to chase mastery. As of now, it has expanded to providing AI based solutions for schools, universities & learning management.
This project highlights how design helped teachers save time doing operational task of marking student attendance and increasing top of the funnel.
What
Business Impact
89%
67%
Attendance via photo
upload initiation rate
< 1min
85.8%
TOT
(Time on Task)
-61.2%
Drop offs while marking attendance
+8%
More time for student interaction
0%
Proxy
(fake attendance)
Product Design, UX copy writing, strategy & user testing
My Role
UX researcher, product manager & software developers
Collaboration with
BACKSTORY
Manual attendance marking wasted a lot of time of the teacher. Considering that a few students don’t cooperate, it again takes a toll on the teacher wasting some percentage of the total class time losing an overall 97 hours annually.
Here along with marketing and sales campaigns, design can help optimise these numbers. This particular feature played an instrumental role in saving attendance marking time and further optimising the live class funnel.
PROBLEM STATEMENT
8-10% of the total class time was wasted in marking student attendance. The reason varies
in different steps of the process and is being discussed in the respective user flows mentioned below. However, some of the generic problems are -
Manual Verification
Proxy
Speed
If class was dedicated 60 mins, then 5-6 mins were wasted in manual attendance marking considering that a few students were not cooperating with the teacher giving response to the roll calls.
Deep learning of real-time metrics
& hypothesis
Quantitative Data
Gathering user perspectives &
pain points
User Interviews
I mapped all this into an Experience Failure Matrix, looking at where time pressure + low context = UX breakdown.
1
Reduce manual verification effort while giving out roll calls
2
Avoid proxy (voice impersonation by students)
3
Seamless offline-first experience for usability, accessibility, and continuity.
4
Organic adoption to the new way of marking attendance.
TARGET METRICS
PRESENTED BY
Aman Verma - Sr. Product Designer
Reducing TOT (Time on Task) of an
attendance marking feature by 85.8%
THE SOLUTION
By Teacher
10 mins
Voice Impersonation
Proxy
VERIFY MANUALLY
Old Way
By AI (Facial Recognition)
< 1 min
No Voice Impersonation
No Proxy
VERIFIED AUTOMATICALLY
New Way
While it’s clear that AI outcomes aren't 100% accurate, what we can achieve is a substantial reduction in manual work through AI integration. Teachers nevertheless have the flexibility to change the attendance status of the student.
But, why is the student face zoomed in after detection ?
Manual marking of attendance displays student cards with profile images taken during enrollment. Arivoo's AI matches student faces against stored images in the database & captures only the essential facial features for display on the user interface card.
How - By Face Embedding Extraction…
TEST RUN ON ADAMAS UNIVERSITY STUDENTS
Live Frame
Human Face Identified
Ready for Embedding Extraction
Extracted
Embeddings matched
Present Detected
ANNOTATED FRAME
Process Summary
HIGH LEVEL
It is a process of adding labels or descriptive information to train a computer vision model.
By Annotation
LIVE CLASS ATTENDANCE MARKING FUNNEL OPTIMISATION
2/3
Mark attendance
By Image
Manual
Submit
or
PRIMARY
The Problem Statement
Many times between the student roll calls, a few student helps other students get proxy either by impersonating their voice or by requesting the person who's marking attendance on teacher's behalf.
Voice impersonation
Invalid attendance report
Student roll calls
Existing Flow
New Flow
But, how do we flag invalid students ?
A lot of times, students from another class come and sit in their friend’s class. Those are the
students which the system filters and informs the teacher about them.
Arivoo's AI
Matches live frames with database images
Flags invalid students
What after we went live after 28 days…
In case of similar faces found after uploading class photographs, one student was identified as another student from a different photograph identifying the latter student as present (actually absent).
Wrong attendance
Invalid report
Similar faces
Give Present/Absent
Submit
Fake Attendance
PROXY
By Image
Manual
Facial Recognition
Invalid Students Filtered
or
THE USERS
Academic Staff
Works in a university
Our primary target audience has the similar needs as this persona -
Hi, I'm Dr. Sriya
A professor aged 29 years at Adamas University. I oversee the electronics and communication department within the institution.
Why quick attendance ?
I need to dedicate maximum time interacting withthe students. A couple of students don’t cooperate with me while I mark attendance hence wasting a lot of dedicated class time.
I want
to save time marking attendance
for a large student group
to avoid giving proxy
a digital and quick way
Student Call Outs
Verify Manually
Give Present/Absent
Submit
1/3
New - Mark attendance with class photograph (Failed experiment)
What if users gets a primary option to mark attendance by uploading class photographs instead of manually giving them present or absent status.
Upload class photo
Quick attendance
New Entry Point
Old Way
Tap to upload a class photograph
Primary action
Educate the user about the new process
How
User can skip to manual (old) way to mark attendance also
Skip (secondary action)
How to reduce drop off rate from 31% to 15% ?
To reduce the drop off rate, we optimised the user flow in following 3 layers:
1
Adding a dedicated benefits page
2
Defining strict image acceptance criterion
System Efficiency
3
Alert for similar faces
Risk Management
Winning Trust
ADDING A DEDICATED BENEFITS PAGE
Solving for trust
Distrust comes from unfamiliar things. Here user’s concern would be ‘What if the new attendance marking process is not accurate enough, do I again have to recheck manually ?’
How did we address this issue ?
Transparency
Clear Communication
Validation
What is the new process
How does it work & benefits
Social proofs for inefficiency
Frustration
USER RESEARCH
The existing ‘How does it work’ section was inferred as a distracting estate for the teachers. Also, teachers expected to see student list right after clicking on mark attendance instead of forcing them to upload a class photograph.
PROPOSED OFFERING
To enhance clarity and focus, we introduced a dedicated benefits page that highlights the value of Quick Attendance. This allowed the main experience to stay streamlined, keeping student names front and center, and making it easy for teachers to quickly mark attendance with a class photo.
1st Revamp (discussed above)
/ Roll Calls
/ Forcing user to upload class photo
The core USP : Mark attendance of the large student group within seconds
What
Dedicate only upto 2% of the total
class time marking student attendance
Outcome
A self explanatory process for quick attendance : Capture, upload and wait for a few secs
How ?
Mentioning the benefits to make
teacher realise how efficient is this way of marking student attendance
Why ?
Winning trust of the teachers by showing social proofs & making them realise the actual need for quick attendance.
Need
/ Asking to upload photo for faster process
Bottom sheets - Benefit cards
SECONDARY LINK TO GO & MARK ATTENDANCE
Credibility
/ Keeping the core experience intact
/ Winning Trust
STRICT CRITERION FOR IMAGE UPLOAD
Low/No Internet
Poor Image Quality
Improper Lighting
Obstructed Faces
Image rejection use case
If the system doesn’t accept the image, user still has an option to skip and give manual attendance.
Also for a higher adoption rate, I made the benefit clear and control visible. Users preferred helpfulness rather than ambiguity.
EDGE CASE 3
EDGE CASE 4
EDGE CASE 5
EDGE CASE 6
Not accepted
Accepted
Image acceptance use case
Once an image gets accepted by the system, the focus shifts to ‘proceed’ keeping in mind that
user might want to add more images as well.
But, how does the images get processed ?
Schedule a meeting and I'll answer all your questions.
aman.vermaproduct@gmail.com
—
EDGE CASE 1
EDGE CASE 2
RISK MANAGEMENT
Wrong attendance
Trust issues
Invalid report
Opportunity
The similar faces will be flagged to the teacher before providing the recognised student list.
The teacher will manually confirm if the student is actually present or not.
1/3 - Upload
EXISTING
2/3 - Similar Faces Found
NEW
3/3 - Students Recognised
EXISTING
Challenges in User Experience
The teacher has an option to upload multiple images. A student was recognised as another student due to a different angle, lighting, or any other external factor in the other image identifying the latter student as present which was wrong,
2 AI Engineers, 2 Backend devs (for APIs), 2 Frontend devs.
Types
7
3/3
How to make sure the system works even in low
or no internet access ?
GRACEFUL DEGRADATION & FALLBACK FLOWS
< 500kbps
Low/No internet
Challenges in User Experience
A lot of times big universities are set in the outskirts of a city. Even after having a wifi access, the internet is many times unstable specially within the university. Perceived abandonment lead to restarting the app or switching back to manual way of marking student attendance ultimately wasting time.
Opportunity
Teachers will click photographs and later will be able to upload from the gallery whenever the internet is available even post class.
Focus is on usability, accessibility and continuity.
Users care more about how stable the experience feels rather than how accurate the signal actually is.
Is the quick attendance funnel really optimised ?
These are the max no. of taps user has to do considering the edge cases as well.
6 Taps
The complete live class attendance marking funnel gave results within a minute unlike the manual process which took around 6 mins depending upon the student strength.
Where did we win ?
Time
Dashboard - Masthead States
COMPLETED
LIVE
Online
UPCOMING
COMPLETED
LIVE
UPCOMING
Offline w/ Location
Overall Business Impact
Latest numbers since launch (14th April, 2026) : Design & Tech
89%
Attendance via photo
upload initiation rate
67%
<1 min
TOT
(Time on Task)
85.8%
-61.2%
Drop offs while marking attendance via photo upload
+8%
More time for student
interaction
Proxy
(fake attendance)
PRESENTED BY
Aman Verma - Sr. Product Designer at Innovaccer (Series F, $675M at $3.4B valuation)
Ex -
(10M+ Userbase)
2nd Revamp (Final)
Nudge (1st time experience)
Happy Flow - Quick Attendance by AI
NEW HASSLE-FREE EXPERIENCE
< 1 min
Comprehensive error handling
Reduced no. of clicks
Scroll Left to see the happy flow
TOUCH POINT
MANUAL/AUTOMATIC
1/6
Start
CONTROL
MANUAL/AUTOMATIC
2/6
Captures
CONTROL
MANUAL/AUTOMATIC
EDGE CASE W/ PROPER CONTEXT
IMAGE REJECTED
3/6
Captures again
EDGE CASE W/ PROPER CONTEXT
IMAGE REJECTED
EDGE CASE W/ PROPER CONTEXT
IMAGE REJECTED
4/6
Proceeds
ANTICIPATION
IMAGE REJECTED
…
Waits
MOMENT OF TRUTH
IMAGE REJECTED
5/6 (Less Chance)
Manual Check
EDGE CASE W/ PROPER INFORMATION
SIMILAR FACES
EDGE CASE W/ PROPER INFORMATION
SIMILAR FACES
FRICTION FLOW
AI OUTCOMES ARE NEVER 100% ACCURATE
6/6
Submits
TOUCH POINT 2
Nth TIME EXPERIENCE
Default
Low Internet ( <500kbps)
Live Class
Post Photo Upload
