AI Resume Analysis
In the new era of AI in the workforce, Built In saw an opportunity to expand our offerings, stay competitive, and add value to the job search experience by introducing an AI resume analysis tool that instantly compares a candidate’s resume to a job description. I led the design from research through final UI, focusing on clarity, trust, and human-centered design to drive resume uploads, improve personalization, and deliver more qualified applicants to companies.
My Role: Lead Designer
Eng: Jaime LeSuer
Deliverables:
0-1 Feature Launch
AI-driven UI
Business Context
Aligning User & Customer Needs
Built In needed to balance the needs of a two-sided marketplace. Job seekers wanted more personalized, relevant recommendations, while companies wanted stronger applicants instead of higher volume. Am I A Fit addressed both by encouraging resume uploads, tailoring matches to user skills, and improving applicant quality for employers.
Am I A Fit Could:
- Collect richer user data (via resume uploads).
- Deliver more relevant, “sticky” experiences to job seekers.
- Provide companies with higher quality applicants.
UI & Design
Establishing a Baseline
Our first iteration focused on aligning closely with what was already in the market — a quick, lightweight interaction similar to LinkedIn’s approach. This gave us a visual starting point to ground conversations and create alignment across teams. We met with design, engineering, and leadership to weigh the pros and cons of this direction, using it as a foundation to explore how Built In’s solution could differentiate in both experience and value.
Iteration & Ideation
Copy and Visuals That Drive Action
From there, we broadened our exploration to include multiple approaches for how “fit” could be communicated, where the feature would live, and how in-depth responses should be. Each option was evaluated through the lens of clarity, usefulness, and business value — balancing glanceable insights for users with the need to deter unqualified applicants.
Am I A Fit Could:
- Depth of AI model: Were results correct, useful, and relevant?
- Tone: Could feedback guide without discouraging?
- Responsibility: How do we advise users without acting as a hard gatekeeper?
Option 1
More vague and ‘friendly’ scoring
Option 2
Prescriptive with percentage fit matching
Option 3
Rewritten model with direct matching
Flows & States
Supporting Users at Every Stage
Because resume analysis relied on uploaded resumes, it was critical to design flows that felt seamless for different types of users. We mapped journeys for three key states: new visitors without accounts, existing users without resumes, and existing users with resumes on file. Each flow was optimized to reduce friction, surface value quickly, and encourage action. By designing with these states in mind, we ensured that the tool worked intuitively whether someone was brand new to Built In or a returning user already invested in the platform.
User 1: New User, No Account
User 2: Existing User, No Resume
User 3: Existing User W/ Resume
Final Product
Delivering Impact Where It Counts
The final experience delivered instant value by breaking down how a candidate’s resume aligned to a job description across three categories: Yes, Maybe, and No. This approach offered users clarity without discouragement, helping them quickly assess fit while also surfacing opportunities to strengthen their applications. By combining a transparent breakdown with supportive design choices, the tool gave users confidence in their next steps — whether applying directly or refining their approach.
Project Results
4X Resume Uploads
increase in resume uploads from 2024-2025
3X Job Views
Users with resumes vs. those without (last 6 months)
4X Job Applies
Users with resumes vs. those without (last 6 months)
upload module
skill matching results
Elements
user Flow States
Future Considerations
Supporting Users at Every Stage
This feature marked the beginning of a broader data collection strategy. Our long-term vision was to extend the resume upload module across multiple high-traffic areas, creating seamless entry points for users to re-engage with the platform and unlock more personalized recommendations. By adapting copy and placement to each context, resume uploads could evolve from a single feature into a powerful driver of personalization, engagement, and higher-quality matches for both users and companies.
