UX Research
Design System
User Interviews
Prototyping
Airudi
NDA
Objective
Redesign the recruitment module
Team
UX/UI, PO, PM, Dev, ML
Timeline
Mar 2023 - Current
Contribution
Wireframing, prototyping, user research, heuristic evaluation, personas, competitive analysis, interviews, user flows
overview
Enhancing the Recruitment Experience with AI
At Airudi, an AI-powered HR tech company, I worked on redesigning key areas of the recruitment platform to improve usability, automate repetitive tasks, and increase recruiter efficiency. The platform helps companies sort CVs, recommend candidates, and schedule interviews — all with AI.
the challenge
With just five months to redesign key flows, our challenge was to make the platform more intuitive while maximizing impact. We focused on improvements that delivered the most value—especially CV sorting, candidate recommendations, and interview coordination—ensuring the interface felt seamless, informative, and aligned with recruiter habits.
my process
Heuristic Evaluation
Identified issues with feedback, navigation, and information overload
Competitive Analysis
Reviewed several platforms to identify UX best practices in AI-powered recruiting tools
Internal Interviews
Conducted interviews with internal HR professionals to discover pain points and user needs
Personas
Created recruiter and HR manager personas to align design goals with user needs
Wireframes & Prototypes
Built low-fidelity wireframes to high-fidelity prototypes in Figma
Design System
Created web components to support a smooth transition from project to product
Feedback
Positive Feedback & Continuous Improvement
Despite the tight five-month timeline, users responded positively, highlighting the UI and UX as intuitive, seamless, and aligned with their workflows. Post-launch, we maintained close collaboration with the client to quickly address friction points and continuously refine the experience.
reflections
Designing for Productivity and Human Connection
At Airudi, I honed my skills designing AI-enhanced platforms, balancing automation with usability. From user research to translating complex data into clean interfaces, delivering an end-to-end product was a rewarding challenge. Collaborating with ML and engineering teams gave me deeper insight into making AI work seamlessly for users.
