WaveTrackR

UI & UX Design for a Recruitment Tech Platform

UI/UX DesignDesign SystemsAgile Collaboration

WaveTrackR is Wave's recruitment technology platform, powering job posting, candidate attraction, and application management. As Lead UX/UI Designer, I refreshed the platform's look and feel in line with Wave's new branding, reworked core workflows based on user feedback, and introduced a scalable Figma design system to ensure consistency across platforms. The redesign focused on three key improvements: the Job Summary page, a streamlined Posting Workflow, and AI-Powered Screening.

WaveTrackR Job Summary interface

Job Summary Page

From Overview to Applicant Management

The Job Summary page was designed to evolve into a complete applicant management hub, bringing job details, performance metrics, and candidate applications into one place. To make reviewing and managing applicants easier, I introduced a two-column system supported by AI pre-screening, candidate scoring, and colour-coding. A clean tabbed structure and action menus on candidate cards keep the interface simple and intuitive, even when handling large applicant pools.

WaveTrackR Job Posting Workflow interfaceWaveTrackR AI-Powered Candidate Screening interface

Redesigning the Posting Workflow

The job posting process was originally a long single-page form, which felt overwhelming and offered little guidance. I re-designed it into a clear step-by-step workflow that introduces new features such as early Talent Pool visibility, AI-assisted advert generation, and smart posting recommendations. This guided approach makes posting jobs more engaging, reduces errors, and helps recruiters save time while attracting better candidates.

WaveTrackR Job Posting Workflow interface

AI-Powered Screening

Shaping the future of recruitment tech by designing the AI Screening feature for WaveTrackR

One key project was designing an AI-powered pre-screening feature that allows recruiters to add screening statements to automatically parse CVs, prioritise strong matches, and streamline shortlisting.

A critical part of the design process was ensuring the tool supported fair and inclusive hiring. I focused on transparency and control, enabling recruiters to toggle AI screening on or off from the job summary page, and preventing features that could inadvertently introduce bias or discrimination.

Since launch, recruiters have adopted this feature enthusiastically, especially when handling large volumes of applications. It has significantly reduced the time spent reviewing unsuitable candidates while still giving access to the full talent pool, including applicants who may not meet every requirement.

WaveTrackR AI-Powered Candidate Screening interface

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