Algorithm Platform Product

📌 Project Overview

The Algorithm Platform is a B2B web platform designed to centralize Ping An Technology’s AI products and make them accessible to both internal teams and external clients.

As Ping An Technology—a subsidiary of Ping An Insurance—expanded its AI offerings, the need for an integrated system became urgent. The platform consolidates product information, simplifies access, and streamlines purchasing for diverse user groups ranging from internal developers to corporate clients.

🤝Client: PingAn Technology

🏭 Industry: Saas Product, Web-based b2b Product

⏳ Project Duration: May 2021 – September 2021

🛠 Tools: Figma, Adobe Creative Suite

👥 Team Composition: 2 UX Designers · 1 PM · 3 Developers

🎯 Challenges

Diverse User Groups: Balancing the needs of technicians, managers, and external clients within one cohesive system.
Fragmented Information: AI products were scattered across multiple channels, making discovery and comparison difficult.
Complex Purchase Flow: The previous process was confusing and time-consuming, reducing engagement.
Tight Timeline: The 12-week schedule required efficient workflow planning and parallel collaboration with developers.

📈 Impact

Within the first week of launch, the platform received 4,000+ external visitors and supported 1,000+ internal users. The new structure dramatically improved discoverability and efficiency for both internal and external audiences, laying the foundation for Ping An Technology’s broader AI commercialization strategy.

👤 My Role

As the UX Designer, I was responsible for defining the information architecture, creating wireframes, and delivering high-fidelity prototypes.

Working closely with the product manager and the development team, I also built the design system and contributed to user research and benchmarking activities that shaped the overall product strategy.

🧭 Dsign Process

My design approach followed three iterative phases:

Empathize – Conducted a two-week research sprint involving 70+ internal users and 30+ external participants. Defined three primary user types (technicians, managers, external clients) and mapped their journeys to uncover key pain points: lack of clarity, slow access to details, and difficulty comparing products.

Conceptualize – Synthesized findings into a unified strategy. Conducted competitor analysis across 20+ tech platforms to identify best practices in organizing AI services. Established a clear information architecture with five core pages: Home, Catalog, Details, Console, Dashboard.

Design – Translated architecture into wireframes and prototypes under tight deadlines. Iterated through multiple design rounds for the Home, Catalog, and Dashboard pages, each tailored to a specific user group. Established the visual design system, 3D iconography, and interaction principles to maintain consistency and trust.

✨ Highlight & Key Contribution

# User-Centered Architecture:

Transformed a fragmented system into a cohesive five-page information framework, enabling users to navigate, compare, and access algorithm products effortlessly. The new structure simplified complex workflows and improved content discoverability, ensuring both internal teams and external clients could quickly locate what they needed.

#Design for Multiple Personas

Developed distinct yet cohesive experiences tailored for technicians, managers, and external clients. Each interface was customized around unique user goals and behaviors—ranging from data visualization dashboards for managers to intuitive product catalogs for external buyers—while maintaining a unified design logic across the platform.

#Visual Clarity & Trust

Implemented a clean and trustworthy visual identity driven by 3D design elements, aligning with Ping An Technology’s brand personality. The consistent color palette, iconography, and motion details not only enhanced aesthetic coherence but also increased users’ confidence in the platform’s technological credibility.

#Efficient Solo Delivery

Executed the full design cycle independently under a tight 12-week timeline, balancing research, ideation, and high-fidelity production. By applying self-taught project management methods, I optimized my workflow to maintain delivery speed without compromising design quality, ensuring smooth collaboration with developers throughout implementation.

🚀 Outcomes & Deliverables Showcase

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