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Career Up AI 코칭 플랫폼 by Yueming Lai

Career Up AI 코칭 플랫폼 by Yueming Lai is a highly esteemed winner of the very prestigious 2024 A' Design Award 철상 in 인터페이스, 인터랙션 및 사용자 경험 디자인 Competition Category.


철인터페이스· 2024

Career Up AI 코칭 플랫폼

by Yueming Lai

Client: CareerUp AI

A' Design Award 철상 Winner in 인터페이스 Category

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Verified Award Winner

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Colors

The Design

About Career Up AI 코칭 플랫폼

CareerUp은 신입 전문가들이 커리어 개발 여정을 간소화하고 체계화할 수 있도록 돕습니다. 매력적인 대화와 원활한 상호작용을 통해 구직 활동 관리, 생산성 향상, 스트레스 없는 경험을 위한 가장 쉽고 효과적인 방법을 제공합니다. 이 플랫폼은 사용자가 목표를 설정하고 사용자 친화적인 대시보드를 구성할 수 있도록 AI 코치와 필요한 도구를 제공합니다. CareerUp을 통해 사용자는 인지적 부담 없이 장기적인 성공을 달성할 수 있습니다.

The Recognition

About the A' Design Award 철상

Career Up AI 코칭 플랫폼, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Career Up AI 코칭 플랫폼, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Career Up AI 코칭 플랫폼, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Through the automatic generation of task cards and recommendation of job positions based on interacting with coaching AI, we can promptly translate ideas into actions, seamlessly overseeing our progress during the job hunting journey. With the consolidation of all essential tools on a single screen, we ease the burden for users toggling between different apps. An interface with progressive elaboration has been crafted to support users in attaining long-term success without the cognitive burden of setting goals and constructing the management dashboard.
Dimensions & Packaging
Width 1728 Height 1117 (Desktop) and responsive design on tablet & VR device
Tags
AI, Career Coaching, Conversational AI, Career Management, User Experience Design
Production Technology
Adopting a conversation-led approach with vibrant colours and sleek animations with a transparent glassmorphism style, the platform establishes a visually captivating environment that sustains user engagement and sharp focus on their objectives. With AI-generated career-oriented coaching background, it create an immersive and personalised coaching experience setting it apart from existing service.
Design Challenge
The challenge lay in prioritizing the qualitative user findings we gathered. Through affinity mapping, we assigned and rated each finding based on its impact on user experience and its potential to address user problems. This method allowed us to pinpoint areas requiring immediate attention to enhance the overall user journey. Moreover, it empowered us to prioritize solutions with the most significant impact in alleviating user pain points.
Research
The research commenced with competitor analysis and semi-structured interviews to glean valuable insights into users' experiences, perspectives, and needs regarding career management. The collected user insights were categorized into seven distinct themes and prioritized using evaluation metrics centered on user experience and problem-solving. The resulting data shaped a design concept, optimizing information arrangement and user interactions to enhance the overall user experience.
Inspiration
The platform is an intelligent and personalised solution tailored for early-stage career professionals based on the capability of conversational AI. It automates and enhances user productivity in career coaching, application tracking, and emotion management throughout the entire job-hunting journey. The platform provides manageability for career exploration & growth, enabling individuals to navigate their professional journeys with stability and continuous advancement.
Project Duration
The project started in April 2023 and finished in June 2023 in London.
Operation Flow
The design language follows to the principles of professionalism and efficiency, with a focus on providing an immersive experience tailored to the user's career journey through a seamless digital interface and interactive modality. The product introduces a conversation-led interaction, where the coaching AI guides the user in constructing their workspace based on individual preferences aligning with the unique needs of each user.
Patents
Copyrights belong to Yueming Lai, Zhenkai Wang, Jingyao Wang, Wenxuan Dong, 2023
Team Members
Yueming Lai, Zhenkai Wang, Jingyao Wang, Wenxuan Dong
Image Credits
Image Copyright: Yueming Lai, Zhenkai Wang, Jingyao Wang, Wenxuan Dong;
Video Copyright: Yueming Lai;

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