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Develop Real-time Video Conferencing Analytics Platform

darly solutions

Information technology

Challenge

Agent Walrus, a SaaS startup, faces the challenge of providing a fast, responsive, and scalable video conferencing analytics platform that can handle large volumes of real-time data from numerous video calls. Their existing system requires translating wireframes and prototypes into a functional frontend while integrating with a backend, and minimizing latency for data visualizations is critical. They need to provide customizable analytics to developers, and ensure high platform availability and performance.

About the Client

A U.S.-based startup providing a video conferencing monitoring and analytics platform to help organizations optimize performance and quickly identify issues.

Objectives

Develop a responsive web platform for real-time video conferencing analytics.
Achieve a system availability of at least 97.5%.
Maintain data visualization latency below 50ms.
Ensure a user satisfaction rate above 85% within the first year.
Achieve an average monthly product signup growth of at least 15% within the first year.
Keep user churn under 15% within the first year.

Functional Requirements

User signup and onboarding with validation and error handling.
Real-time session analytics with customizable charts and graphs.
Video conferencing tool analytics with customizable charts and graphs.
Continuous error monitoring and detection.
Data search and filtering capabilities.
Demo application for user training and feature exploration.
Connection matrix visualization.

Preferred Technologies

React

Typescript

Redux

Non-Functional Requirements

High performance and scalability.
Real-time data refreshment.
System availability of 97.5% or higher.
Average response time below 0.3 seconds.
Data visualization latency below 50ms.
Secure data handling.

Expected Business Impact

By implementing this platform, Agent Walrus aims to significantly improve developer efficiency in identifying and resolving video conferencing issues, leading to faster issue resolution times (reported as 28% in the case study). Improved platform stability, performance, and user experience are expected to positively impact user acquisition, retention, and overall customer satisfaction.