Career Up 人工智能職業指導平台 by Yueming Lai is a highly esteemed winner of the very prestigious 2024 A' Design Award 鐵獎 in 介面、互動及用戶體驗設計 Competition Category.

鐵介面· 2024

Career Up 人工智能職業指導平台

by Yueming Lai

Client: CareerUp AI

A' Design Award 鐵獎 Winner in 介面 Category

16,149

Verified Award Winner

Verify Award Status for #153170

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Career Up 人工智能職業指導平台

CareerUp協助初入職場的專業人士精簡及整合其職業發展歷程。透過引人入勝的對話及流暢的互動，提供最簡單及最有效的方法來管理求職、提升生產力，並享受無壓力的體驗。該平台包括人工智能導師及必要工具，協助用戶設定目標及建立易用的控制面板。透過CareerUp，用戶可在無認知負擔的情況下達至長遠成功。

The Recognition

About the A' Design Award 鐵獎

Career Up 人工智能職業指導平台是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Career Up 人工智能職業指導平台將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Career Up 人工智能職業指導平台因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

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;