Wynt AI — Hiring Workflow
Redesigned an AI hiring workflow to make algorithmic decisions transparent, trustworthy, and easy to override.
Role
Lead UX Designer
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
Ran usability testing → discovered recruiters distrusted opaque AI recommendations.
- 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.