Development of an Intelligent Coaching Program Platform with Automated Matching and Progress Tracking

The client requires a sophisticated platform capable of designing individualized coaching curricula, automating coach participant matching through advanced surveys and algorithms, providing real-time progress visualization, generating detailed reports, and managing multiple stakeholder requirements within tight timelines.

A mid-sized educational institution or organization aiming to offer customizable coaching programs, using AI-driven participant-coach matching and comprehensive progress analytics.

• Create an integrated web-based platform to support the design and delivery of personalized coaching programs.
• Implement an AI-powered questionnaire system for detailed participant data collection and automated coach matching.
• Enable scheduling of online sessions integrated with popular calendar systems for seamless session management.
• Develop dashboards for monitoring program analytics, participant progress, and session outcomes.
• Facilitate collection of feedback to continuously improve coaching quality and communication.
• Ensure the platform supports multi-stakeholder workflows and adapts to evolving project requirements.

• Participant registration via detailed online surveys with AI-driven recommendation of suitable coaches.
• Create and customize coaching programs with varied modules and learning activities.
• Schedule and manage online coaching sessions with calendar integration (e.g., Google Calendar).
• Generate analytical dashboards displaying program statistics and participant progress metrics.
• Provide post-session reports and evaluations from both students and coaches.
• Send real-time notifications and email reminders for upcoming sessions and platform activities.
• Collect user feedback for continuous quality improvement.

• Google Calendar API for session scheduling
• Email service provider for notifications (e.g., SendGrid)
• Real-time communication service (e.g., Pusher or similar)
• AI/machine learning components for participant-coach matching

• Platform must support scalable user base with high concurrency demands
• Data security and privacy compliance for sensitive participant information
• System availability with 99.9% uptime
• Responsive and user-friendly UI/UX across desktops and mobile devices
• Data processing and report generation within acceptable time frames to support timely decision-making

The new platform is expected to enhance the efficiency and effectiveness of coaching programs by automating participant-coach matching, providing detailed insights into progress, and enabling seamless scheduling. It aims to reduce administrative overhead, improve user engagement, and support the scaling of coaching services, thereby increasing overall program success and satisfaction among participants and stakeholders.