TT TREE is an intelligent teaching matching platform dedicated to connecting students with professional tutors. ROLLLL DESIGN was responsible for its overall product strategy, user experience design, and technical development. The core objective was to solve the dual-sided challenges of students finding suitable tutors and tutors acquiring clients. This project leverages data-driven demand matching and a rigorous tutor verification system to create an efficient, transparent, and trustworthy professional teaching services marketplace.
Main Highlights
Intelligent Teaching Demand Matching Engine: The platform's core is its intelligent matching system. Students can input detailed training goals, budget, available times, and location preferences. Based on this data, the system uses algorithms to recommend and filter a list of professional tutors that best match the criteria, transforming the traditionally time-consuming and laborious search process into efficient, precise recommendations.
Dual-Side User Experience & Real-Time Status Synchronization Architecture: For the two distinct user roles—students and tutors—we built two separate, optimized user flow and interface systems. More crucially, we implemented a real-time synchronization mechanism for data across both sides (such as demand postings, tutor applications, and booking status). This ensures the immediacy and smoothness of two-way interactions, creating a seamless connection experience.
Platform-Based Verification & Ecosystem Management System: ROLLLL DESIGN developed powerful platform management tools for the client's backend. This includes not only a standardized tutor onboarding and qualification verification process but also a centralized control system for course orders, transaction logic, user reviews, and activity information. This system empowers the client to effortlessly maintain platform quality, manage complex bilateral relationships, and operate the ecosystem autonomously.
Extended Community & Resource Integration: In addition to its core matching functionality, the platform also integrates local event information with online registration features and pushes relevant promotions. This helps enhance user engagement and extends the platform from a mere transactional space into a community and information hub.
Result
The establishment of the TT TREE platform has successfully standardized and digitized the offline matching process in the teaching market. Through the intelligent matching system and two-sided platform mechanism designed by ROLLLL DESIGN, it has not only significantly enhanced the connection efficiency and success rate between students and tutors but also created a professional service platform with quality control and sustainable operational capabilities for the client. This has set a new service standard within Hong Kong's sports and teaching sector.
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