Empowering Competitive Exam Preparation with Offline Learning, Personalization & Scalable
Progress Intelligence through Steady Rabbit’s Core-Flex Micro-GCC Model
Democratize access to competitive exam preparation through expert content and smart learning
Native Android app, PHP backend, basic analytics
iExamBee—one of India’s fastest-growing competitive exam preparation platforms—serves aspirants preparing for Banking, SSC, Teaching, Regulatory Body, and Government exams. While the platform had strong demand and rich content, the learning experience was limited by inconsistent internet access, fragmented progress tracking, and a one-size-fits-all learning journey. Students increasingly expected AI-driven personalization, flexible offline access, and outcome-backed preparation insights.
Steady Rabbit mobilized a Core-Flex Micro-GCC squad and within a rapid implementation cycle delivered:
This transformation enabled iExamBee to expand into Tier-II/Tier-III markets, improve student retention, and position itself as a high-credibility EdTech benchmark.
India-based EdTech platform
2016
Democratize access to competitive exam preparation through expert content and smart learning
Bootstrapped, fast-growing subscription revenue
India-wide, strong presence in non-metro regions
Native Android app, PHP backend, basic analytics
Enhance accessibility, increase engagement, and validate learning outcomes for business growth & partnerships
With growing content volume and increasing student diversity, iExamBee required a modern platform capable of adapting to bandwidth constraints, guiding students intelligently, and showcasing measurable learning progress—key drivers for conversion and retention in competitive EdTech markets.
Micro-GCC Squad Blueprint
Outcome of Sprint 0: fully documented offline strategy, AI recommendation blueprint, data model revamp, and 84 SP/sprint velocity baseline.
During a heavy content migration in Sprint 6, the Buffer developer stepped in within hours to manage app caching optimizations—avoiding a potential 1-week slip.
Offline enablement increased content accessibility by 52%
Engagement improved 28%, driven by structured learning paths
Adaptive learning boosted concept mastery scores by 32%
Student performance improved measurably, increasing repeat subscription by 19%
Crash-free sessions hit 98.6%, improving app-store ratings
Faster content delivery enabled 40% quicker course publication cycles
Better analytics improved teacher intervention success rates by 2.3×
Higher trust from students and institutional partners through evidence-backed performance tracking
Ensured expert AI and UX intervention during critical phases.
Reduced rework by 37% and aligned all teams tightly.
Kept sprint variance under 3%.
Across learning science, offline-first design, and personalized education.
KPIs around engagement, accessibility, and performance tied directly to team incentives.
With weekly reviews, open dashboards, and no hidden surprises.
Steady Rabbit modernized our platform into a smart, offline-ready, AI-driven learning system. Our student engagement and outcomes have consistently improved. Their Micro-GCC approach delivered exactly what our learners needed.
