Press Release
A' Design Award in Digital Product Design Goes to Sprounix AI Career Agent by Xiaoshi Dai, Di Xia and Feifan Gao
Xiaoshi Dai, Di Xia and Feifan Gao recognized for digital product design by the international grand jury of the 2025 - 2026 A' Design Award & Competition
FOR IMMEDIATE RELEASE
COMO, Italy, April 23, 2026 /DesignNewswire/ A' Design Award & Competition has confirmed the A' Design Award in the Digital Product Design category for Sprounix AI Career Agent by Xiaoshi Dai, Di Xia and Feifan Gao, designed for Sprounix. The recognition forms part of the 2025 - 2026 A' Design Award & Competition and was reached through blind peer review by an international grand jury panel of established academics, design professionals and press members, who evaluated anonymized entries against predetermined criteria.
The A' Design Award Explained
The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.
More About Sprounix AI Career Agent
Sprounix is an AI driven interface designed to streamline the complex job application process through a conversational UX. To solve the problem of application fatigue, the design replaces static forms with a multi modal chat interface that captures soft skills through natural dialogue. The UI features a fluid Co pilot dashboard that provides real time interview coaching and transparent task tracking. By integrating Agent to Agent protocols, the system automates backend negotiations, allowing users to manage high frequency applications through a simplified, stress free interaction model.
About Xiaoshi Dai, Di Xia and Feifan Gao
Xiaoshi Dai is a Product Design Lead with 10+ years of experience at Microsoft, Meitu, and Range Finance. Expert in GenAI and FinTech, she has scaled products to 30M+ users and $100K+ monthly GMV. A Master of Human-Computer Interaction and Design graduate from the University of Washington, she is an award-winning designer recognized by Muse, NY Product Design, A' Design, and Indigo. Xiaoshi specializes in transforming complex technical workflows into seamless user experiences that define the future of human-computer interaction.
Award Record
With this recognition, Xiaoshi Dai, Di Xia and Feifan Gao is a winner of 1 A' Design Award.
About the A' Digital Product Design Award
The A' Digital Product Design Award is an international competition recognizing top digital product designs by leading brands, designers and agencies worldwide. The competition is organized within the A' Design Award & Competition and is open to digital product designers, user experience designers, user interface designers and interaction designers from all countries. Entries typically include digital products, apps, e-books, virtual reality experiences, interactive websites and digital games. Awarded digital product designs are published at https://dezigners.org/design-category/digital-product
About A' Design Award & Competition
A' Design Award & Competition is an international, juried design accolade organized annually since 2008. The competition is open to entries from all countries. The A' Design Award has a philanthropic mission to advance society through good design by recognizing and promoting superior products, projects and services that benefit society, and by creating a global awareness and appreciation for good design practices and principles. Entries are peer reviewed and anonymously evaluated by an international grand jury panel of established academics, design professionals and press members against predetermined criteria such as functionality, ergonomics, engineering, presentation, innovation, usability, sustainability and technology, with score normalization applied to remove biases. Awards are conferred at Platinum, Gold, Silver, Bronze and Iron levels. The A' Design Prize granted to eligible laureates includes the award trophy, the certificate of design excellence, the hardcover yearbook, a lifetime license to use the A' Design Award winner logo, exhibition of awarded works, an invitation to the gala night and award ceremony in Italy, inclusion in the World Design Rankings and Designer Rankings, and public relations and publicity services. Registration, the upload of a work and the preliminary score are free of charge, and Professional and Digital Edition laureates are not contractually obliged to pay further fees to claim the A' Design Prize. Further information is available at https://competition.adesignaward.com
Press Resources
- Winner Page: https://dezigners.org/183302
- A' Design Award Page: https://competition.adesignaward.com/183302
- Media Showcase: https://www.designnewsroom.com/!183302
- Laureate Profile: https://dezigners.org/d/359657
- Further Information from the Laureate: https://sprounix.com/
Media Contact
Giulia Ferrari, Press Office
Designers.Org
Via Leone Leoni 32, 22100 Como, Italy
press@designers.org
+39 031 4491953
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Fact Sheet
The Work
- Project
- Sprounix AI Career Agent
- Function
- AI Career Agent
- Category
- Digital Product Design
- Discipline
- Communication Design
- Industry
- Software
- Colors
- Lavender, Light Gray, Light Slate Gray, Dark Slate Gray and Black
- Images
- 5
- Client
- Sprounix
The Recognition
- Laureate
- Xiaoshi Dai, Di Xia and Feifan Gao
- Country
- United States of America
- Recognition
- A' Design Award
- Edition
- 2025 - 2026
- Design ID
- #183302
Credits
- Team
- Xiaoshi Dai, Feifan Gao and Di Xia
- Image Credits
- Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao
Design Details
- Unique Properties
- Sprounix is a chat-centric AI Career Agent that transforms job seeking into a multimodal interactive journey. Beyond static resumes, it uses text and video dialogue to uncover soft skills and aspirations. A key innovation is the Agent2Agent A2A technology, enabling the user’s agent to communicate directly with recruiter systems for hyper-efficient matching. It also provides automated applications and real-time interview coaching, acting as a proactive career advocate.
- Inspiration
- The inspiration came from the challenging labor market faced by Gen Z. Traditional job hunting is often repetitive and discouraging. We wanted to create a "Co-pilot" that doesn't just list jobs but actively advocates for the user. By combining AI-driven matching with a friendly, gamified experience, we aimed to lower the anxiety of career-starting and make professional growth feel like a guided, empowered journey.
- Research
- Our research explored the Job Search Anxiety among early career talents and the inefficiencies of keyword-based recruitment. We used a mixed-methods approach, including more than fifty user interviews and data analysis of traditional ATS systems. The results showed that users provide forty percent more detailed skill data via natural dialogue than static forms. This led to the development of our Chat-centric discovery interface and the Agent2Agent matching protocol, which proved to reduce initial screening time by seventy percent in pilot tests.
- Challenge
- The primary challenge was designing a seamless UX for the complex Agent2Agent backend. We had to ensure users felt in control while their AI agent performed proactive tasks like autonomous applications. We solved this by creating a highly intuitive, chat-first interface that provides transparent "Co-pilot" updates. Integrating multi-modal inputs (text and video) while maintaining a consistent, supportive AI persona across all platforms was a significant technical and design obstacle we overcame.
- Realization and Technology
- Built on a robust AI infrastructure using Large Language Models (LLM) for natural language understanding and multi-modal analysis. The core innovation is the Agent2Agent (A2A) communication protocol that streamlines data exchange between independent AI entities. The system features a responsive React-based front-end for seamless cross-platform use, integrated with real-time video processing and scalable microservices to handle high-frequency job matching and data sync.
- Operation and Interaction
- The experience centers on a conversational interface where users engage with the AI via text or video. This chat-first approach replaces traditional forms, building a deep professional profile. Once the agent understands the candidate's goals, it leverages A2A protocols to negotiate with recruiter agents and automate applications. The co-pilot remains active throughout, providing instant feedback and resume tailoring via a fluid UI.
- Project Duration and Location
- The project conceptualization started in January 2025 in the United States. Following intensive research and UX prototyping of the conversational engine, the beta version of the platform was developed and finalized in late 2025.
- Specifications
- Sprounix is a cloud-based, responsive web platform compatible with all modern browsers. It supports multi-modal inputs including WebRTC video, voice-to-text, and PDF parsing. The matching engine achieves over 85% accuracy by moving beyond keywords to multi-dimensional intent recognition. The system adheres to WCAG 2.1 accessibility and enterprise-grade security standards, ensuring full GDPR compliance for encrypted candidate data protection.
- Keywords
- AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
