Yulin Lai
PolarisJobs
PolarisJobs is an AI-powered recruitment platform that is horizontal sales focused, aiming to help candidates find the best job at startups/SMEs in the US.
Timeline
01/2021 - 05/2021
Link
Role
UX Researcher, UX Designer(Prototyping, Usability Testing, Interface Design)
Project Overview
PolarisJobs is an AI-driven recruitment platform tailored for sales professionals seeking roles in US tech startups and SMEs, offering intuitive features like an AI matching algorithm, a one-click application portal, LLM-powered resume editing, optimized industry filters, and comprehensive company insights from PolarisInsights. With a user experience akin to LinkedIn, it streamlines the job search process, enabling candidates to find and secure positions more swiftly and efficiently.
Research
Timeline
Competitive Analysis
Strengths
-
Industry leader with robust features(conversational AI, video/coding assessments, interview schedulers).
-
Ongoing consultation and data insights.
-
Top-tier customer support.
Weaknesses
-
High costs limit SME accessibility.
-
Limited assessment choices deter candidates.
-
Occasional connectivity issues.
Opportunities
-
Expansion potential into smaller businesses.
-
Refining AI for improved fairness.
-
Introduction of varied assessment types.
to your destination
1-1 Interviews with potential users
.png)
8
Interviewees
25 - 55
Age range
HR/CEO
Occupations
We conducted interviews with 8 participants, ranging from HR managers to startup CEOs, aged between 25 to 55. We asked them questions about their motivations, thoughts, and attitudes during the recruiting process, and their expectations of an upcoming AI recruiting platform. Their distinct perspectives and invaluable insights significantly shaped our design approach.
User Personas
We developed 3 personas based on the different age groups of our interviewees since different age groups might respond differently when it comes to technological proficiency and communication preferences during the recruiting process.
Key Insights
01 Reduce repetitive work in information exchange between recruiters and applicants during the current recruitment process.
“I have to use 3 different applications for out reaching candidates and scheduling interviews.”
(P4, CEO)
02 Streamline keyword matching between application documents and job descriptions.
“The challenge lies in candidate sourcing and setting criteria such as age, gender, salary range, and education qualifications, which can be too broad and lack precision and efficiency, requiring further scrutiny of the content.” (P2, recruiter)
03 Help recruiters make fair and objective decisions on candidates’ interview performance.
“It’d be very helpful if we can measure soft skills like communication and turn them into quantifiable metrics.” (P7, HR)
Challenge
How might we design a hiring platform that allows SME recruiters to write better job descriptions, integrates AI for efficient shortlisting, and actively minimizes AI biases to make accurate candidate selections more efficiently?
Wireframes
User Flow
We started off by streamlining the entire user flow of a hiring process from the recruiter's side.
I know, I know. It looks very lengthy. That's why I have a simplified version which makes the whole process seem more streamlined:
Based on the user flow we have, we progressed to creating mid-fidelity wireframes for this product.
Mid-Fi Wireframes
We had several review sessions with the clients to make sure the wireframes meet the requirements of our MVP. I divided the flow among my team. After creating the initial version, we swapped screens for joint reviews.
As everyone tackled different flows and most of the project was done remotely, we established a design system to maintain screen consistency.
Design System
Color Palette A
Color Palette B
