CLIENT PROJECT
Readyfly Match
Timeline
2023–Present
Platform
React WebApp
My Role
Product Designer Consultant
The images in this case study are AI-generated to resemble real individuals, ensuring their privacy.
Description
ReadyFly Match Jobs is a new platform dedicated to connecting job seekers with exciting opportunities in the AI and Data sectors. Our mission is to cultivate career growth and technological advancement by connecting talented professionals with innovative organizations.
My responsibilities
- 1. Strategic Planning & Research: Collaborated with stakeholders to define problems, conducted user research through interviews and surveys, and synthesized findings into actionable user personas.
- 2. Prototype & Design: Spearheaded ideation sessions, designed JIRA workflows, developed interactive prototypes, and tested them with users to gather feedback.
- 3.Design Implementation: Delivered design specifications and assets to developers, and conducted thorough reviews of the final product to ensure consistency and identify any bugs.
- 4. Branding & Marketing: Created a cohesive branding strategy and developed the marketing website to establish a strong online presence for the project.
Impact
Due to the sensitive nature of the project, specific figures for these metrics have been excluded.
70%
Of users successfully found job matches
20
Job listings explored by every user in the first week
70%
Of users applied to at least 5 matched jobs
avg. 2
Interview invitations per user
Problems Identified
We’ve interviewed 20 job seekers in the Data Scientist sector to understand the problems they face in the current job market.
Overwhelmed by job listings
Sorting through hundreds of LinkedIn Jobs to find high-match opportunities to focus on.
EXAMPLE
Users spend 4 hours per week browsing job listings.
IMPACT
Most active job seekers apply to all job listings as a consequence of not having a curated list of jobs to properly research and prepare the application materials.
Overwhelmed by job application process
Need to prepare tailored resumes and cover letters, and submit each application manually to increase their job application to interview ratios.
EXAMPLE
Users spend 15 hours per week applying for jobs.
IMPACT
Users waste time on repetitive tasks instead of focusing on skill development, leading to a lot of frustration.
Problem Statement
How can we assist users in quickly filtering through numerous job listings to identify the most suitable ones and apply within seconds?
Business Goals
Move fast, with a small team
Readyfly aims to develop an intuitive and engaging platform with a very small team.
User acquisition
Readyfly seeks to acquire the first 10 users of the product and gather feedback from these initial users to validate their value propositions and refine the platform accordingly.
User Goals
Efficient job matching
Users' main goal is tFo quickly identify high-match job opportunities, minimizing time spent on searching.
Reduce repetitive tasks
Users also want to save time by automating repetitive aspects of the job application process.
User Personas
The tech-savvy job seeker
NAME
Ajay
JOB TITLE
Machine Learning Engineer
LOCATION
London, UK
BACKGROUND
Ajay is a tech-savvy individual who prefers 1-on-1 technical interviews over test tasks. He finds the current job search process on LinkedIn to be time-consuming and often leads to irrelevant job offers. Ajay is looking for a more efficient and user-centered job search interface that allows him to filter job listings based on specific criteria such as job type, location, and salary range.
The overwhelmed job seeker
NAME
Kaiya
JOB TITLE
Data Scientist
LOCATION
San Francisco, USA
BACKGROUND
Kaiya is actively looking for new job opportunities on a daily basis. She faces challenges such as unclear job descriptions, lack of salary information, and generic email responses from companies. Kaiya struggles with salary negotiation and identifying areas for self-improvement. She is looking for a more transparent and personalized job search experience that provides clear expectations and feedback.
The entry-level professional
NAME
Jack
JOB TITLE
Data Scientist Intern
LOCATION
Bath, UK
BACKGROUND
Jack is an entry-level professional looking for on-site roles in Bath. He is interested in understanding the company culture, day-to-day activities, and how the role he's applying for connects with the company's goals. Jack is looking for a more detailed job description that includes information on the company's culture, flexible work arrangements, and benefits.
First Decisions
Lean team, move fast
We started the project with a small team of three people, plus six consultants. It was extremely important to ship fast, so I proposed using a front-end UI kit. We selected Tailwind UI, and from the start, I tried to adhere as closely as possible to their UI library in my designs. This gave us a speed advantage, as our developer teammate was more of a back-end specialist.
Desktop first, desktop only
I know it sounds crazy, but the recruitment industry still primarily uses desktop. With limited resources, we focused on it. This doesn't mean our product doesn't work on mobile. Using Tailwind UI, the platform was responsive, maintaining the same experience on both desktop and mobile. We didn't prioritize mobile designs until we had a developer who could tackle it.
Early Design
Before bringing a developer on board, we worked on the branding and brainstormed ideas for the Registration process. The concept was to create a profile once and then receive highly relevant job matches after. Additionally, we aimed to gamify the registration experience by providing users with instant feedback on how their skills compare to the current job market.
First Implementation
Now, with a developer on board, we focused on what was crucial for the launch. We removed the gamification elements and concentrated on providing the quickest experience for filling out the profile. It was essential for the user to provide as much information as possible to ensure "Fit & Gap" works effectively. "Fit & Gap" analyzes the user's skills and compares them with job requirements, giving a matching score.
We also designed the job searching experience to be user-friendly and efficient. Instantly, users can see the jobs where they have the highest matching scores and quickly identify areas for improvement to increase their scores for that specific job listing.
Usability Testing
We conducted a series of interviews with various users, including senior data scientists, ML researchers, and entry-level AI engineers. The feedback gathered from these sessions highlights several key issues and suggestions for improvement.
Length of the Application Process
The application process is too long and tedious, leading to fatigue and frustration. Repetitive entry of skills and details exacerbates the issue.
SOLUTION
Reduce the number of steps to make the process more streamlined and efficient.
Profile Building Flow
No save and continue button or automatic saving of progress. Users have a hard time navigating through the flow.
SOLUTION
Implement automatic saving of progress and change how the entire profile is displayed.
Resume Parsing
Inefficient resume parsing results in errors and inconsistencies in skills and work experience sections.
SOLUTION
Enhance the parsing algorithm to ensure accurate and efficient extraction of skills and work experience.
Education Section
Limited education options fail to include degrees commonly used in countries like India, causing confusion.
SOLUTION
Include a broader range of education options, accounting for degrees specific to different countries and regions.
Work Experience Section
Requirement for start and end dates is restrictive for currently employed users. Lack of flexibility to skip the end date or indicate current employment status.
SOLUTION
Provide flexibility to skip the end date or select the option of being currently employed.
Timezone Selection
Unclear and difficult navigation of timezone selection process.
SOLUTION
Clarify and simplify the timezone selection process for better user experience.
User Testimonials
Advance resume parsing capabilities
I was very happy with the resume parsing, except for two sections, my education and my publications.
– Sumit M.
I registered my profile and I really enjoyed the filling out part. It's the most advanced and detailed CS/ML form I have used so far!
– Amir S.
Recognition of platform's value proposition
Your product is very valuable to the community!
– Amir S.
What I love is that I can create a personalized profile that boosts my matching accuracy and helps me stand out to recruiters.
– Adrian L.
Willingness to collaborate
I'd be happy to join your advisory board to help you push this forward!
– Jawhar A.
I can provide the source code for free and collaborate with 2-3 other scientists from the product advisory board to set it up on GitHub.
– Andreea E.
Comparisons to other job platforms
What I hate about LinkedIn jobs is that their matching algo is bad. I scroll through hundreds of listings to find a few jobs that match.
– Andeea E.
Readyfly Match solves the problem of spending time browsing through listings. The matching seems to give more accurate matches.
– Mark E.
Important Lessons
I've gathered so much knowledge over time
"I've always been driven by passion, constantly learning new skills like design, animation, video editing, development, 3D design, social media and project management. This project provided me with the opportunity to integrate and apply a wide range of these skills.
Smart design solutions are the foundation of a good startup
"Move fast, break things" it's not working anymore
In today's digital landscape, we're beyond the era of Facebook, where any software release could enhance users' lives. With countless options available, a product must truly offer a 10x improvement to compel users to make a change. My new mantra is: Build with compassion and purpose.
The Future
I'm very excited to the shift we've done in the product in the last couple of months. Unfortunately I can't make public exactly at what we're working right now, but I will share more if you are interested in our call.