PolarisJobs:

Elevating the Recruitment Experience Through an AI-Driven Talent Acquisition Platform

SUMMARY

PolarisJobs simplifies job matching for candidates and enhances candidate assessment for companies by utilizing proprietary Large Language Model (LLM) machine-learning algorithms to offer a streamlined and efficient recruitment experience.

IMPACT

This project successfully secured funding from the Harvard Innovation Labs.

TImeLine

May 2023 - Sep 2023

TEAM

3 Designers, CEO and CTO

Role

End-to-end design

01. Problem

Upon conducting a literature review, we identified three following challenges overwhelming recruiters. Each of these factors notably hinders the recruitment process, reducing its efficiency.

1.1

Lengthy Hiring Time

“44 Days is the average hiring process time in 2023,

1.2

Unclear Job Description

“Vague job description can cause disappoint hires, misunderstandings, and misguide candidates, costing time and money.”

1.3

Too Many Applicants

"..an average job posting can receive about 59 applications, and some roles even attracting over 250 applications, over 250 applications”

Initial Problem Statement

How do we optimize AI for better recruiting experience?

03. Competitor Analysis

Reflecting on our competitor analysis, we noted that not all competitors offer 'Prescreening AI Chatbots' or 'Job Description Generators.' This gap presents us with a unique opportunity to innovate with a more comprehensive suite of automated tools.

MAIN FEATURES

AI-Driven candidate screening

Diverse talent acquisition in campus

AI-driven sourcing with personalized candidate outreach

STRENGTH

Automatic interview scheduler

AI-Drive Candidate Matching

Customizable outreach strategy

Job description assistance

Pre-screening AI chatbot

WEAKNESSES

1. Better suited for larger companies

2. High cost

1. Narrow user base limited in US only

2. Required Manual Data Input

1. Potential Inaccuracy in AI Suggestions

2. Recruiters' AI Familiarization Challenge

02. User Research

To enhance the ideation of our AI recruitment platform, we conducted these three types of research to know more about market standards and user preferences, steering the design towards a more intuitive and competitive product.

User Interview

We conducted user interviews to delve into preferences and pain points, arming us with the knowledge to identify areas ripe for innovation in our product design.

Literature Review

To delve deeper into the issue, we examined various sources to know the current recruitment challenges and to stay updated on news regarding AI bias.

Competitor Analysis

We analyzed various recruitment platforms to know user preferences and industry standards, which enabled us to pinpoint opportunities for innovation.

04. User Interview

4.1 About Participants

Our goal was to grasp users' online hiring experiences, including challenges with existing recruiting products.

Interviewees

25-55

Age

HR/CEO

Occupation

4.2 Interview Outcomes

We conducted eight interviews with SME recruiters and CEO to obtain in-depth qualitative responses.

Participants struggled to find suitable time for arranging interviews.

Participants are frustrated the manual review candidate information.

5 out of 8 participants have limited experience with AI

05. User Persona

06. User Journey Map

Crafting a user journey map helps identify obstacles and facilitates brainstorming ideas based on users' emotions.

07. Key Insights

We concluded three key insights where users face frustrations and time-consumptions in hiring.

7.1 Unclear Job Description

Unfamiliar with the job opening and required skill level

7.2 Inefficient Shortlisting

Manual review process extends the hiring process and increases expenses

7.3 ‍Minimizing AI biases

Most participants either have no/ limited experience

Finalized Problem Statement

How might we design a hiring platform that allows SME recruiters to
1) write better job descriptions,
2) integrates AI for efficient shortlisting,
3) and actively minimizes AI biases
to make accurate candidate selections more efficiently?

08. Ideation

Building upon the key insights outlined in Section 7, we brainstormed potential product features, highlighting our top concept with a heart sticker to signify our favorite idea.

09. User Flow

Wireframing

Iteration

11.1 AI Job Description Generator

We've created an AI tool to help user write job descriptions. The interface is split in two: on the left, you enter the necessary details. After you've filled them in, just click the "Generate" button, and your job description will appear on the right side of the screen.

11.2 Candidate Shortlisting

On this page, the left-side filter section customizes candidate searches, while the right-side displays candidates with key details. The top-right icon signifies AI-driven analysis for optimal match suggestions.