Product strategy • Information architecture • User research
Redesigning the employer profile on Glassdoor
ROLE
lead Product Designer
PROJECT LENGTH
Aug 2025 – Dec 2025
TEAM
3 Designers
1 UX Researcher
1 Product Manager
4 FE eng, 2 BE eng (Web, native)
MY IMPACT
Facilitated 3-day design sprint with product and design stakeholders to ideate
Led end-to-end design process with designers
Key designer in spec handoffs to eng
PROJECT GOAL
How might we make company research easier on Glassdoor, while building for an AI-first future?
We want to better connect jobseekers with relevant employers and jobs, while making space for an AI copilot that acts as a career companion and helps users engage with Glassdoor data more effectively and deeply.
USER CHALLENGES
Job seekers use Employer Profiles to research companies and find relevant jobs.
However, they struggle to find information easily, since content is spread across 9-tabs
SOLUTION
A simplified 5-tab Employer Profile with a career companion that shifts company research from passive browsing > active exploration
DEFINING NAVIGATION
User research validated that a condensed, multi-tab IA still outperformed oversimplified 1 and 2-tab layouts
We led 12 moderated-research sessions and 102 unmoderated tree tests, where we tested 3 mobile prototypes with different information architecture. Ultimately, the multi-tab information architecture outperformed alternatives, due to:
Reduced scroll fatigue (less excessive scrolling and content imbalance)
Familiarity with mobile patterns
Clearer section-based discovery (users knew where to find content like employer reviews)
SIMPLIFYING CONTENT
Evolving our content into visual 'preview' cards helps highlight the value of the AI career agent
How might we distill employer content into preview cards that highlight key insights and motivate users to engage more deeply through our AI career agent? Below are a few examples of how we did this –
DESIGN PATTERNS
Scalable design patterns establish a consistent and cohesive brand experience
We used this as an opportunity to rein in inconsistencies across the design system, which had grown increasingly complex as multiple teams contributed new modules.
AI CAREER COACH
Placing the AI Career Coach in the right rail allows users to move fluidly between content exploration and agent-led engagement
The experience supports jobseekers using both traditional browsing of our heritage employer content and free-form engagement with our AI-powered chat agent, allowing users to move between modes without losing context.
DON'T FORGET ALL DEVICES
Building for scale with mWeb
All designs were scaled to mWeb and native app as well, to ensure the redesign would be accessible on all platforms.
RESULTS
🤠 Launched successfully in Q3 FY26 (Nov 2025)!
** AI copilot in right rail is actively being A/B tested **
RESULTS
** AI copilot in right rail is actively being A/B tested **