Profile personalization
Helping 100M+ job seekers express their qualifications beyond a resume
My Role
UX Designer
Team
Product Manager
UX Researcher
Content Designer
Software Engineers
Platforms
Mobile Web
Timeframe
6 months

Impact
Globally launched new profile data management system to power personalized job recommendations, AI resume tailoring, and profile refinement suggestions for 100M+ job seekers.
The problem
Does your past experience always represent where you're going?
Traditional resumes reduce job seekers to a single static document, omitting relevant skills, preferences, and career goals. With 40% of job seekers exploring multiple occupations, resumes often reflect past roles rather than current pursuits. This creates a mismatch that prevents candidates from discovering opportunities aligned with their actual skills, interests, and intent.

Creating a system to understand credentials and intent
The core of the qualification system allows job seekers to express what they can do and want to do, enabling more accurate matching across roles, industries, and career transitions.
Hypothesis
User need
Project goals
Design strategy focused on entry point, management, and utilization of structured data.
Provide timely and relevant collection points in the experience to understand job seekers
Goal 1
Create a space to manage structured data
Goal 2
Utilize structured data to deliver personalization
Goal 3
Principles
Guided by research insights, I iterated on design concepts to align with user needs and platform requirements. Principles like supporting all collection points, staying true to the source, flexible structure, and don't assume informed every aspect of the new profile data management.

Ideation
I pitched and brought together multiple different teams across product, design, and content to align upon the data collection and management strategy. Additionally, I had to make a case for creating a new data storage layer for structured data management within an outdated system historically reliant on the format of a traditional 1-2 page resume.

Feature overview



What I learned from this project
Upfront alignment across partner teams (Collection, management, usage) leads to a more efficient launch process.
Quoting data from research, alongside qualitative quotes from users, especially helped when advocating my design rationale.
Seeing engineering as a partner alongside design iterations leads to ease of handoff since engineering are aware on delivery expections.
