Product: Fair Hire AI resume anonymization prototype
Role: Founder & UX Researcher
Method: RITE usability testing
Participants: X hiring managers / HR professionals
Timeline: X weeks
Outcome: Redesigned workflow and multi-file support
Hiring managers support blind hiring in principle, but existing tools are cumbersome.
We needed to determine whether recruiters could intuitively anonymize resumes using our prototype without training.
Do hiring managers perceive value in an automated anonymization tool?
Can users successfully complete the anonymization workflow without guidance?
Where do users encounter confusion or friction in the process?
Methodology: RITE (Rapid Iterative Testing and Evaluation)
Participants: 12 hiring managers and HR professionals
Session format:
5-minute contextual interview
task-based usability test
retrospective probing
Tasks
Upload a resume
Anonymize the file
Download the anonymized version
Task Success Rate Observations
Upload resume 60% unclear first step, expected multi-file support
Anonymize file 70% confusion about workflow, expected to select which data to mask
Download file 85% minor issues
Results were captured in a rainbow sheet to detect trends.
Step 1: Upload file(s)
The RITE sessions led to three major changes:
Guided 3-step workflow
Upload → Select anonymization → Download
Batch processing
Users can upload multiple resumes
Selectable anonymization fields
Users control which data to mask
Step 2: Select information to mask
Step 3: Anonymize file(s)
What I Learned
RITE testing is highly effective for early-stage startup prototypes where UI changes can be implemented quickly.
Recruiters expect bulk workflows, reflecting real hiring practices.
Content clarity was as important as interaction design.
Next Steps
Conduct validation testing on the updated prototype
Evaluate recruiter trust in automated anonymization
Photo by Jo Szczepanska on Unsplash