DISCOVERY BRIEF

Welcome to the future of education!

At Embibe, we have just one mission – to truly personalise education. Because every child deserves it. This has led us to embark on this noblest of journeys to deliver life and learning outcomes for every student! Rooted in consumer behavior, we are leveraging AI to deliver personalised achievement journeys for every student.

Embibe has traversed a long journey from a data-centric product to an AI platform. On this journey, we have realised that the most powerful teams are: 1. Vision Led in understanding student context and obsessed with success; 2. Self-Organising in defining their own agenda; 3. Intellectually Fierce and Globally Conscious in their choices, and 4. Consistently Excellent in their execution.

After exploring a deeply functional organisational structure in engineering, we are now evolving towards a problem-solving team structure that manifests at the platform and backend level as an agile team supporting a unified front-end and augmented by a strong Architect + Principal Engineer + Advisory Group for technical mentoring. This document outlines the problem statement and other aspects of Discovery.

THE PROBLEM STATEMENT

The ‘one size fits all’ approach doesn’t really fit when it comes to education. The context is crucial while delivering the content. We want to build a personalised, contextual-time educational content discovery system that ensures goal-oriented effective learning.

THE INSPIRATION

We are inspired by:

  • Netflix
  • FireTV
  • Akamai
  • Cloudflare
  • Segments
  • Google Analytics
  • Google Search
  • Amazon Search
  • Assistments
  • Toutiao-Bytedance

THE OBJECTIVES

  • To ensure the best in class zeroth state access for any goal and exam based on seasonality and location
  • To ensure a cohort-based personalised ordering of content
  • To ensure the lowest time and highest robustness of content retrieval system

PRODUCT MANIFESTATION OF YOUR EFFORT

  • All Landing Pages and Summary Pages
  • Learning
  • Practicing
  • Test Taking
  • Carousels With Recommendations on Home Page

BUSINESS MANIFESTATION OF YOUR EFFORT

  • Improved Customer Retention
  • Lower Churn
  • Higher NPS

METRICS YOU WILL OWN AND LIVE BY

METRIC NAME UNIT FREQUENCY
Lossless Academic Event Storage GB Daily
Paint Time Minutes Daily
CTR Ratio Daily
Engagement Minutes Daily
Storage GB Daily
Number of Assignments Generated Number Daily
Relevant Metrics From Pagespeed Insights Milliseconds Daily
Failure Rate % Daily
Average Search Session Time Seconds Daily

L2 PROBLEMS OWNED

We believe in building an organisation at the intersection of domain modelling and problem intuition. While the L1 teams give us the flexibility to have a multi-faceted view of the problem and cluster similar problems together, the L2 structure ensures independent and focused problem-solving. The following L2 teams have been suggested for the L1 problem stated above:

  • Content Delivery: To build a fault-tolerant, scalable and performant content serving system for all channels/client types
  • Content Ordering: To build ordering for >80% clickthrough rate on the first fold of the screen
  • Logging and Storage of LPT Events: To store high-fidelity data based on user interaction
  • Playback of Learn, Practice and Test: To present insights to the user after each session of interaction
  • Assign – Parent and Teacher: To develop intuitive assignment creation and assignment experience with fine-grained control on the student experience
  • Blog Integrations: To build an intelligent context-based content widget embedding engine on our blog pages to convert organic traffic to product users
  • Search and Content Discoverability: To develop a personalised cross-grade search and best leverage with search engines like Google, Yahoo, etc.; to build an intent engine that goes beyond translating user queries to catalog fields and understands users’ needs based on his query and past interactions

L1 SKILLS REQUIRED

  • Java Springboot
  • MongoDB
  • Security
  • Sorting and Algorithms
  • Caching
  • Kafka
  • Performance Optimisation
  • Elastic Search

IP DEVELOPED SO FAR

  1. Intelligent Search for Education
  2. Learning to Rank for Personalised Search
  3. Cross-grade Search

Embibe: AI Powered Personalised Adaptive Learning & Outcomes Platform

To Join the Tribe, send us an email on [email protected]