2024-2025
Product Design x PM X Engineering
https://people.qlu.ai/
QLU Recruit is a search platform for executive recruiting firms.
The first version was custom-built for Spencer Stuart. While powerful, it required heavy training and manual onboarding, which slowed adoption and scalability.
The original search UX was cluttered and complex:
15+ filters crowded the left side
3 different starting options (Prompt, Job Description, Filters)
Multi-step flows with previews, popups, and manual edits
This caused:
Hours of manual onboarding
CS/Sales tied up in training instead of growth
Inconsistent, confusing results → loss of trust
Low adoption despite strong backend capabilities
Problem in one line:
"A powerful tool that felt too complex to use, stalling growth "
As Head of Product Design, I led a full redesign of the search experience.
Discovery → Sessions with CS, Sales, and Engineering to surface user pain points
Defining success → Set clear metrics (speed, adoption, reduced training)
Direction → Made conversational AI the default entry point, kept filters for experts
Iteration → Guided the team through milestones and tested with users
Stakeholder buy-in → Shared beta data to maintain alignment
QLU Recruit is a search platform for executive recruiting firms.
The first version was custom-built for Spencer Stuart. While powerful, it required heavy training and manual onboarding, which slowed adoption and scalability.
The redesigned NexaTech website increased session durations by 30% and significantly reduced bounce rates. The clear, focused user journey helped the company see a 20% rise in new customer inquiries within the first three months post-launch.
