ReX
AI Interview Coach
Radical AI has identified a need for an innovative AI-powered interview preparation tool specifically tailored for UX/UI designers. The project, named ReX, will guide users through a comprehensive interview preparation process, leveraging AI to provide personalized feedback and practice scenarios.
Timeline
2024 / 4 weeks
Role
UX Research, UI Design
Company
Radical AI
Team
Product Design Team: Parita, Vika, Meegan, Fatou and Peiqi
Radical AI is a pioneering technology and education company dedicated to transforming the landscape of career preparation. At the heart of RadicalX's mission is the belief in the power of cutting-edge technology to create immersive learning environments that not only teach but also adapt to the evolving demands of the global job market.
My Role
As a UI/UX design intern on a team of five, I led the process of creating wireframes and lo-fi prototypes. Collaborating with the senior designer, I assisted in conducting user research and usability tests. I was responsible for developing hi-fi prototypes for the Onboarding Page and Learning Module with AI feedback.
Challenge
The primary challenge was to integrate complex AI feedback into a user-friendly interface. We aimed to make the AI insights accessible without overwhelming users, requiring a delicate balance between technical depth and simplicity.
Problem Statement
In the evolving UX/UI design field, beginners and experts alike face significant challenges in improving their interview skills. The lack of specialized platforms makes it hard to navigate interviews and showcase abilities confidently. Moreover, the shortage of resources offering specific feedback, relevant questions, and an interactive learning experience adds to the difficulties, making it tougher for UX/UI designers to adequately prepare for the job market.
Potential Solution
Our solution revolutionizes UX/UI design interview preparation with an AI-powered platform tailored for both aspiring and experienced professionals. It offers a space to sharpen interview skills through personalized feedback, simulated industry scenarios, and an engaging learning environment. This approach aims to empower UX/UI designers to confidently tackle interview challenges and meet market demands.
Design Scenario
Understanding & Analysis
Competitive Analysis
Question Bank
Ideation & Concept Development
Target Audience
Aspiring UX/UI designers preparing for job interviews
Experienced designers seeking to polish their interview skills
Design educators looking for tools to assist their students
User Persona
To validate our hypotheses, we conducted...
7 UXUI Designer Interviews
2 Entry level (0-3 yrs) 2 Intermediate level
1 Mid level (5-7 yrs) 2 Senior level (7+ yrs)
User Journey Map
User Goal: Find a job by leveraging an AI-powered platform to enhance skills and become a competitive candidate in the UX/UI design job market.
Key Insights of Pain Points
Communication Issues
Users struggle to convey their design thinking and expertise during interviews, leading to feelings of inadequacy and bad performance in interviews.
Portfolio Presentation
Lack of understanding and expectations should be able to know the basic foundational of what to prepare for.
Feedbacks Needs
Users find it challenging to gauge their interview readiness and address specific weaknesses without personalized guidance.
Feature List
Progress Tracking
Develop a system where users can track their improvement over time, identifying strengths and areas for growth.
Community Interaction
Allow users to connect with others, share experiences, and get peer reviews on their practice interviews.
AI-Driven Mock Interviews
Utilize AI to simulate real interview scenarios, offering users a variety of common and uncommon questions to prepare for.
Personalized Feedback
Incorporate AI analysis to provide users with feedback on their responses, body language, and presentation skills.
Design & Prototyping
Low-fidelity wireframes
Feedback #1
Include progress and score on the home page and combine “resources hub” and “progress tracker”
Feedback #2
Give specific feedback on each question in “Practice” mode
Feedback #3
Add video or image to show how to use this AI-Coach at begining
Mid-to-high fidelity wireframes
I led the user experience design of the Onboarding Page and Learning Module (interview practice) to create higher fidelity prototypes.
Testing & Refinement
Usability Test
Conducted A/B and discovery testings to evaluate the usability (including both functionality & visuals) of the product.
6 Usability Tests
Through online tool Useberry, includes single task, first click, 5-second task, etc.
Virtual meeting via Zoom
Test Report as final deliverable, identified issues by priority and redesign recommendations for final iterations
4 Updates after User Tests
Differentiate Learning Module & Mock Interview
Change the position of the 2 buttons and demonstrate the difference between the 2 features on the Home page.
Enhance the AI Feedback Page
Improve the hierarchy and readability of ReX’s feedback page in the learning module.
Record and Type Function
Increase the priority of the Record button; The typing box changes to only appear after clicking.
Choose Your Interviewer Function
Let users choose the interviewer they want based on personality, gender, and job position.
Main Update 1: AI Feedback Layout
Main Update 2: Answer-enter Logic
Final Result
Interactive Mockup
A refined design, ready for the next stages of product development.
The Results
Conclusion
When I joined Radical AI as a Product Design intern, the ReX AI interview coach was at its initial V1 stage. Now, they have already developed it to V4 which has 20K Lifetime users, all of which build upon the foundational features, insights, and visual design style established in our first version.
Final Thoughts
Additional Projects I Worked On
Collaborating with a startup's founder and design team brought unique challenges, including navigating time differences and communication hurdles beyond my control.
However, these constraints made me value our weekly design meetings even more. They taught us the importance of being succinct in our discussions with the product manager while retaining the flexibility to explore tangents when needed. The experience underscored how a vibrant team dynamic can foster creativity and engagement.
Other Radical AI projects that I involved in