UX Case Study: Transforming Recruitment with an AI-Powered Video Platform

UX Case Study: Transforming Recruitment with an AI-Powered Video Platform

Introduction

Project Summary

Transform hiring methodologies utilising artificial intelligence and video tech capabilities.

Our aim was precise to create and introduce an AI-centric video recruitment tool that not only speeds up the selection procedure but also encourages equity and transparency.

Identifying the Challenge

Challenge

HR departments struggled with maintaining high levels of employee engagement, particularly in a remote work environment. Existing tools lacked interactive and personalized engagement features, leading to decreased morale and productivity.

Project Goals

  1. Develop a feature to enhance employee engagement.

  2. Foster a sense of community and connection among remote workers.

  3. Provide actionable insights to HR professionals to improve engagement strategies.

Research Phase

User Insights

Conducted in-depth interviews with remote employees and HR managers to understand their engagement challenges and needs.

Market Research

Analyzed successful engagement tools across different industries to identify key elements that could be adapted and improved.

User Research

Interviews Overview

I connected with recruiters, startup founders, and recent graduates to understand their views on hiring. They stressed the need for faster, automated candidate screening to save time and reduce bias. We also discussed concerns about biased hiring practices and stressful interviews. However, everyone agreed that automation could benefit both recruiters and candidates by making the process smoother and fairer. These conversations shaped our approach to developing an AI-powered recruitment platform.


With the knowledge of Design Thinking, understanding of the hiring process and existing hiring automation practices, I conducted a series of interviews. These interviews encompassed a diverse range of participants, including recruiters with three to twelve years of experience, startup founders, and freshers seeking employment.

User Story

In a busy city, recruiters like Deepan sift through piles of resumes every day. Deepan, a skilled recruiter, uses his own special methods to find the best candidates, looking at job titles and past successes. However, this way of working sometimes leads to unfair choices, as biases creep in.


Deepan knows there must be a better way. He uses tools like Excel, but he dreams of even smarter solutions that can take care of boring tasks, giving him more time to talk to candidates.


Meanwhile, candidates like James feel very nervous about traditional interviews. This anxiety affects their confidence and prevents them from showing their true skills. James wishes for a friendlier and less stressful interview process.


The solution is automation. By using smart technologies, Deepan imagines a future where resume screening and interview scheduling happen automatically, saving time and making everything more efficient. For candidates like James, this means quicker feedback and a more enjoyable experience.

Together, Deepan and James aim to change recruitment. They want a system that is fair, unbiased, and efficient, turning the challenging recruitment maze into a path of innovation and opportunity.

User Persona

Deepan Kumar

Senior Recruiter

Talent Acquisition

Manager

Deepan has been working in recruitment for a decade. He started his career in a small staffing agency and worked his way up to a senior position at TechWave Solutions, a leading tech company in Chennai. Over the years, he has developed a keen eye for spotting talent and a deep understanding of the recruitment landscape.

Technological Proficiency

  1. Proficient in Microsoft Excel and other basic office tools

  2. Familiar with recruitment software and applicant tracking systems (ATS)

  3. Open to adopting new technologies that can improve recruitment efficiency

Tools and Platforms Used

  1. Microsoft Excel

  2. LinkedIn Recruiter

  3. Naukri.com

  4. Zoho Recruit (ATS)

  5. Company’s internal HR management system

Professional Goals

  1. Streamline the recruitment process to save time and increase efficiency

  2. Reduce bias in candidate selection to ensure a fair hiring process

  3. Implement new technologies to improve recruitment outcomes

  4. Build a strong talent pipeline to support the company's growth

Challenges

  1. Managing a high volume of resumes and applications manually

  2. Ensuring an unbiased and fair selection process

  3. Keeping up with the latest recruitment technologies and trends

  4. Reducing the stress and anxiety candidates feel during the interview process

Goals for Improvement

  1. Learn and implement advanced automation tools for resume screening

  2. Develop a more candidate-friendly interview process to reduce anxiety

  3. Attend workshops and webinars to stay updated on the latest HR technologies

  4. Advocate for fair and unbiased hiring practices within the company

Information architecture

Based on the insights gained from the initial content audits, competitor analyzes and Card Sorts with potential users, I defined the sitemap for the product.

Based on the insights gained from the initial content audits, competitor analyzes and Card Sorts with potential users, I defined the sitemap for the product.

KPI's

AI video questions

AI video questions

AI JD (job description) assistant

AI JD (job description) assistant

AI report for video interviews

AI report for video interviews

Browser plugin to filter candidates from existing job boards

Browser plugin to filter candidates from existing job boards

Candidate grouping based on skillls

Candidate grouping based on skillls

Bulk import candidates from ATS and CSV file

Bulk import candidates from ATS and CSV file

Resume score and summary (Job description vs resume) Which helps recruiter to remember their initial requirement.

Resume score and summary (Job description vs resume) Which helps recruiter to remember their initial requirement.

Top 5 candidates will listed based on the video interview and resume score. Also system evaluates the comments from hiring team

Top 5 candidates will listed based on the video interview and resume score. Also system evaluates the comments from hiring team

Suggestive question bank for each interviews based on selected candidates skill and job description.

Suggestive question bank for each interviews based on selected candidates skill and job description.

Wireframes, prototype & usability-testing

Paper-prototype

Wireframes

Context based navigation system

Context based navigation system

Based on the context on the screen It will guides the users for next step

Based on the context on the screen It will guides the users for next step

Contextual generative AI footer

Contextual generative AI footer

Contextual generative AI footer

Usability-testing

What worked

User can understand the flow and realizes that this product solving my problem. Key features created a wow factor.

User can understand the flow and realizes that this product solving my problem. Key features created a wow factor.

What didn’t worked

User finds difficult to navigate next step and felt hard to remember “where am I”. Because of the non conventional navigation method it increased the cognitive load to the users.

User finds difficult to navigate next step and felt hard to remember “where am I”. Because of the non conventional navigation method it increased the cognitive load to the users.

Iterated Wireframes

Iteration focused on navigation system & Components.

Iteration focused on navigation system & Components.

Thanks for Watching

Rupan Balaji

Rupan Balaji