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Redesign and Enhancement of Learnt Online Learning Platform
  1. case
  2. Redesign and Enhancement of Learnt Online Learning Platform

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Redesign and Enhancement of Learnt Online Learning Platform

phenomenonstudio.com
Education
Information technology

Current Platform Limitations

Existing website suffers from complex information architecture, inefficient tutor search functionality, and a visually overwhelming interface that discourages user engagement. The platform requires improved usability to reduce onboarding time for new users and better support for educational interactions.

About the Client

Online learning marketplace connecting students with vetted tutors for virtual and in-person sessions

Key Project Goals

  • Create visually engaging, user-friendly interface aligned with educational audience preferences
  • Implement intuitive tutor/student matching system with advanced filtering capabilities
  • Develop responsive design optimized for mobile learning scenarios
  • Integrate referral system to drive platform growth
  • Enhance platform logic to reduce time-to-learning initiation

Core System Requirements

  • Streamlined user onboarding process
  • Advanced tutor search with subject/skill filters
  • Interactive session scheduling system
  • Referral program with incentive tracking
  • Progressive information disclosure with contextual guidance

Technology Stack

Responsive front-end framework (React/Angular)
Node.js backend with RESTful API
Cloud-based media storage (AWS S3)
Real-time communication integration (WebRTC)

Third-Party Integrations

  • Payment gateway for session bookings
  • Video conferencing API
  • Social media sharing functionality
  • Analytics platform (Google Analytics)

System Quality Attributes

  • Mobile-first performance optimization
  • High-availability architecture (99.9% uptime)
  • GDPR-compliant data protection
  • Scalable infrastructure for concurrent sessions

Expected Business Outcomes

Projected 40% reduction in user onboarding time, 25% increase in tutor-student matching efficiency, and 35% growth in monthly active users through enhanced referral participation. Improved visual design and responsive functionality expected to increase session completion rates by 30%.

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