Development of a Real-Time Video Conferencing Analytics Platform for Enhanced Issue Resolution

The client faces difficulties in efficiently monitoring large volumes of video call sessions to quickly identify and resolve technical issues, affecting user experience and platform reliability. Their current system lacks real-time, customizable analytics visualizations and low-latency data processing capabilities necessary for maintaining optimal performance at scale.

A mid-sized SaaS startup offering cloud-based video conferencing solutions with large, distributed user bases seeking advanced analytics and performance monitoring tools.

• Deploy a web-based video conferencing monitoring and analytics platform with real-time, customizable data visualizations.
• Achieve a monthly user onboarding growth rate of at least 15% within the first year.
• Maintain user churn below 15% during the first year of platform operation.
• Attain a user satisfaction rate greater than 85% within the first 12 months.
• Ensure data visualization latency remains under 50 milliseconds at all times.
• Maintain application availability of at least 97.5%.
• Keep average response times below 0.3 seconds to support high user engagement.
• Develop a comprehensive onboarding experience including demo applications and feature tutorials.

• User authentication with secure signup, login, and onboarding workflows.
• Demo simulation app for user training and feature exploration.
• Dashboard displaying real-time and historical session analytics with customizable charts, graphs, and filters.
• Session list interface providing comprehensive details on participant platforms, call status, and user feedback, with real-time updates.
• Connection matrix visualization of all live connections and their statuses.
• Error detection and automatic notification mechanisms for system anomalies.
• Advanced search and filter capabilities for easy navigation of large datasets.

• Backend data APIs for accessing live and stored video call metrics
• Authentication and user management systems
• Error monitoring tools
• Demo simulation modules

• Consistent data visualization latency below 50 ms
• System uptime of at least 97.5%
• Average response time under 0.3 seconds
• High request throughput to handle large data volumes
• Achieve a System Usability Scale (SUS) score of at least 85

The platform is expected to significantly speed up issue resolution processes by approximately 28%, reduce user churn to under 15%, and increase user satisfaction above 85%. Additionally, it will support platform growth by facilitating at least 15% monthly onboarding growth, thereby enhancing overall system reliability and customer experience at scale.