Internal Automation & Analytics Engine
/
Unacademy
Automation and analytics systems deployed across one of India's largest education platforms to support operational scale, educator productivity, and learner retention at a level of complexity traditional systems could not handle.
Industry/
EdTech
Timeline/
18 months
01
Challenge
The Problem With Scale
At a certain size, the problems a company faces stop being growth problems and start being operational problems.
With thousands of educators, millions of learners, and a content library expanding faster than any manual system could manage, the platform was no longer constrained by demand. It was constrained by its ability to operate efficiently at scale.
Learner drop-off was becoming more expensive than acquisition. Support teams were handling increasing volumes of repetitive queries. Content discoverability was degrading as the library expanded faster than it could be structured.
The risk was not stagnation. The risk was inefficiency compounding as the platform grew.
02
Approach
Deploying Systems Across the Stack
WeLaunch deployed automation and analytics systems targeting the highest-friction areas across the platform.
A learner retention system analysed engagement patterns and triggered personalised interventions when users showed early signs of drop-off, shifting retention from reactive to proactive.
Educator support automation handled scheduling, content workflows, and operational queries that were previously consuming human support bandwidth.
A content intelligence system continuously improved discoverability by structuring, tagging, and surfacing content based on learner behaviour, not static categorisation.
The goal was not just to reduce load — it was to make the platform smarter as usage increased.
03
Result
Infrastructure That Scales
The systems were designed to improve as the platform grew.
As more learners interacted with content, the retention system became more precise. As more educators used the platform, support automation became more efficient. As the content library expanded, discovery improved instead of degrading.
This created operational leverage — where scale increased efficiency instead of eroding it.
04
Takeaway
Client Testimonial
"At our scale the problem is not finding the next learner. It is making sure the ones you already have actually complete what they started. The systems WeLaunch built allowed us to solve that without scaling the team at the same rate."
