PolarisJobs
UXUI Design, Research | Motion Design | Teamwork | Intern | Figma, Adobe PR | 10 Weeks
PolarisJobs, an Al start-up incubated by Harvard Innovation Labs, is on a mission to revolutionize the hiring process. Our vision is to create an Al-powered recruitment platform with a primary focus on talent acquisition for Start-up and SME CEOs in the US.
Challenge
74% of organizations admit to hiring the wrong person for a role. How Might we design a platform that enhances the efficiency of the hiring process for start-up companies with the assistance of AI?
My Contribution
I developed a detailed project plan to ensure our timely completion of the task.
I conducted 8 user interviews with participants and translated research findings into actionable feature concepts.
I have worked with the PM & developer team through regular reviews to ensure the designs were aligned with our business goals, user needs, and design guidelines.
I conducted 4 user tests and delivered iterations of the final interface design, promoting more Al control and efficiency for end users.
Impact
Effectively taking the product from concept and MVP to reality, the new product is launching in 2024.
Successfully secured funding from Harvard Innovation Labs and Spark Grants.
Key Features
-Feature 01/ AI Driven Job Posting-
Type on the Left, Generate on the right. Enhance job posting speed by 15%.
-Feature 02/ Best Match Candidate-
AI offers Best Match candidate recommendations. Fine-tune preferences for greater accuracy.
-Feature 03/ Easy Comparison-
AI-driven intermediate analysis for Comparison. Shorten shortlisting time by 10%
-Feature 04/ AI Chatbot Schedule-
24/7 Customer Support and auto interview Scheduling, FAQ assistance.
-Homepage/ Dashboard-
Research 01-Competitor Analysis
In the initial phase of the engagement, my team and I spent time studying hiring platforms in competing spaces and did a literature review on direct competitors. We analyzed the strengths and weaknesses of other B2B Al recruitment platforms in the market. We discovered that the key factors affecting user experience are the product's intelligence and streamlined processes. There is a scarcity of products in the market that combine these aspects effectively.
Based on the review, we must have:
Streamlined application tracking system and an automated screening system.
Product Opportunity Gap:
Reducing Al bias, automating candidate outreach, enabling users to better fine-tune Al results, and concealing certain demographic information to achieve fairer recruitment practices.
Research 02-Interview
We conducted eight interviews with startup founders, HR professionals, and directors. From these discussions, we developed user personas and user journey maps for each of these roles, incorporating their perspectives on AI.
2.1 User Persona & Journey
2.2 Takeaway & Key Insight
Based on the interview, we conducted three key insights:
Credibility： Minimizing AI bias
Precise Job Description: AI Job Description generation
More Efficiency Shortlisting: Filter with AI best match
Redefine the Problem
How might we design a hiring platform that allows SME recruiters to write better job descriptions, integrates Al for efficient shortlisting, and actively minimizes Al biases to make accurate candidate selections more efficiently?
Brainstorm
After a group discussion, 5 key features were voted out of 30 ideas for in-depth design. Include “Job Description generation“, “AI shortlisting“, “Pre-Screening behavioural question“, “Auto scheduling “ and “AI Chatbot“.
MVP User Flow
Minimizing AI Bias
60% of users never use Al & 30% sceptical to Al. How might we make our Al tools transparent & convincing?
Traditional resume scanning, which relies on a set of keywords, may lead to overlooking suitable candidates. Our AI model enables adjustments to the scoring system based on the recruiter's preferences. It identifies unstructured signal information and filters candidates from multiple dimensions, ensuring a more comprehensive evaluation.
