Wynt AI · Hiring Workflow
Redesigned an AI hiring workflow to make algorithmic decisions transparent, trustworthy, and easy to override.
Role
Product Designer, sole designer on the project
Year
2024
Industry
HR Tech / AI
The problem
Recruiters were spending hours manually sorting candidates with no consistency across hiring managers. The goal: speed up decisions without replacing human judgment.
How I approached it
- 1
Competitive analysis of Greenhouse, Workable, and SmartRecruiters: benchmarking candidate workflows and dashboard layouts.
- 2
Sketched core flows by hand → translated to low-fidelity wireframes mapping user flows and screen hierarchy.
- 3
Our PM ran a usability session with one of the HR users who would be working in the system, and it surfaced that recruiters distrusted opaque AI recommendations. I redesigned the review loop around that finding.
- 4
Designed a review loop: shortlist → validate → adjust → final decision.
Feature gap detected
Feature gap detected
Testing revealed a critical gap: AI recommendations felt like a black box. I designed AI Snippets: short voice clips from interviews, tagged by factors like ‘teamwork’ and ‘problem-solving.’ Recruiters could replay rationale, adjust weightings, and collaborate with confidence.
What changed
Faster shortlisting flow: fewer steps, less back-and-forth
Higher recruiter confidence in final decisions due to transparency
Feature gap detected and solved during usability, not in the original brief
What I learned
AI UX is workflow design + trust design, not just a smart feature.