AI-Powered Candidate Search Engine
The CEO asked me to optimise operations with software to support more customers. After identifying bottlenecks, I partnered with him and the CTO to implement a new Candidate Search Engine powered by AI.
Role
Lead Product Designer
Team
3 Developers, 2 Designers
Timeline
7 Sprints
Results
40% faster delivery
Reduced the first shortlist from about five days to three.
2 iterations for full adoption
Scaled from a pilot to full team use in two cycles.
33% higher conversion
Invitation-to-application conversion of invited candidates increased by 33%.
2M to 3M candidates in 10 months
Expanded the database to strengthen coverage and matching.
Recruiters were spending 5 days to assemble a shortlist of candidates to negotiate with the hiring manager and start recruiting the role.
This research relied on an outdated “Data Cube” tool to find candidates that had a steep learning curve and only two people trained to use it.
This tool was key not only to cut the turnaround time significantly, but to paint a clear picture of the candidate market for the team and discuss with the hiring manager.
Solutions
Dual search modes (power vs casual)
Detailed queries or fast filtering.
Keyword analysis and clustering
Smart grouping of nearby terms for faster input
Human-in-the-loop optimizations
User interaction studied
Streamlined filters for intuitive navigation
Clear, fast controls to narrow results without losing context.
