Health eCareers AI Cover Letter Generator
Role
Associate Product Designer
Team
1 UX Lead, 1 Product Manager, 2 Developers and me
Company
Health eCareers, a job board for healthcare practitioners
Duration
16 weeks (September to December 2023)
In today's competitive job market, crafting a compelling cover letter is crucial for healthcare professionals seeking new opportunities. This project aims to develop an AI-driven customized cover letter generator for healthcare professionals, including but not limited to Nurse Practitioners, Physicians, Physician Assistants, etc.
In today's competitive job market, crafting a compelling cover letter is crucial for healthcare professionals seeking new opportunities. This project aims to develop an AI-driven customized cover letter generator for healthcare professionals, including but not limited to Nurse Practitioners, Physicians, Physician Assistants, etc.
Healthcare Job seekers often struggle to write personalized and effective cover letters when applying for jobs.
Writing a cover letter that stands out is time-consuming and requires a deep understanding of the job requirements and the candidate's skills and experiences. Additionally, it's challenging to balance the need to showcase the candidate's qualifications with a persuasive and professional tone. As a result, job seekers may miss out on job opportunities due to poorly written or generic cover letters.
How can we solve the issue?
The healthcare industry needs an automated solution for crafting customized cover letters.
We can use Artificial Intelligence to analyze a healthcare job seeker’s previous experiences and extract relevant skills and qualifications to generate a tailored cover letter for potential employers.
The goals:
streamline the cover letter writing process and save healthcare professionals valuable time
helping them to stand out during their job search
Increase chances of getting hired.
We can use Artificial Intelligence to analyze a healthcare job seeker’s previous experiences and extract relevant skills and qualifications to generate a tailored cover letter for potential employers.
The goals:
streamline the cover letter writing process and save healthcare professionals valuable time
helping them to stand out during their job search
Increase chances of getting hired.
What would this solution look like?
What would this solution look like?
I mapped out a user flow to understand how a jobseeker might interact with the AI generator and to use it as a guide to reference as I created the designs.
I incorporated elements from the current user flow and the design style of Health eCareers pages. I also drew upon my own experience using similar tools, such as online AI resume checkers, to inform the functionality and layout of the generator.
I incorporated elements from the current user flow and the design style of Health eCareers pages. I also drew upon my own experience using similar tools, such as online AI resume checkers, to inform the functionality and layout of the generator.
After a round of feedback on my designs with my UX Lead, I leveraged the Health eCareers Design System to refine my prototypes to align with our established brand guidelines and optimize the layout for improved usability.
Prototype Walkthrough Video
I worked with the UX lead to run an unmoderated user test on my high-fidelity prototype with 10 participants who were Physician Assistants, Registered Nurses, Obstetrician, and Nurse Practitioners, with job experiences of up to 20 years of experience.
I worked with the UX lead to run an unmoderated user test on my high-fidelity prototype with 10 participants who were Physician Assistants, Registered Nurses, Obstetrician, and Nurse Practitioners, with job experiences of up to 20 years of experience.
User test questions:
What are the participant’s comfort levels and experiences with AI generators?
Do all the options currently provided in the cover letter generator make sense to job seekers and address their needs?
How would participants interact with the generator? Does it work as expected? What are some things they are satisfied with, and what do they dislike?
User test questions:
What are the participant’s comfort levels and experiences with AI generators?
Do all the options currently provided in the cover letter generator make sense to job seekers and address their needs?
Does the generator work as expected? What are some things job seekers are satisfied with, and what do they dislike?
User test questions:
What are the participant’s comfort levels and experiences with AI generators?
Do all the options currently provided in the cover letter generator make sense to job seekers and address their needs?
How would participants interact with the generator?
Does the generator work as expected? What are some things job seekers are satisfied with, and what do they dislike?
Participants find the cover letter generator intuitive and a valuable starting point for their job applications. This feedback confirms the effectiveness of our product in addressing the challenge of crafting personalized cover letters efficiently.
Quote from a participant: I was surprised by the little amount of effort on my part!
No design changes were made at this stage. Rather, this helped us understand this product's use cases and future potential.
The value of the AI generator is not established. Integrating information about AI and its functions into the instructions section can help users understand how the cover letter AI generator can assist them in crafting effective cover letters.
No design changes were made at this stage. However, this feedback informed our efforts to enhance user understanding and appreciation of the AI-driven features in future iterations of the product.
Participants want to compare different versions of the generated cover letter with different tones of voice. However, restarting the process of generating a cover letter is time-consuming, posing a barrier for users. To address this need, we need to create buttons for the user to generate their cover letter in a different style without going through the entire process again.
I presented these insights to the Product Manager, highlighting user feedback and the proposed solution to address the identified need. After a discussion and approval, the following changes were incorporated into the cover letter generator, enhancing its functionality and usability for users.
After the product was released, I conducted another unmoderated user test to gather evaluative user testing findings from healthcare professionals post-release. Because this was towards the end of my contract, I made the following recommendations for the next designer to iterate on my design:
Insight 1: There is a misunderstanding of the purpose of the cover letter generator, which is to tailor one’s cover letter to a specific job posting. Add a line of instructions telling users to copy and paste job information from a real job posting they are interested in.
Insight 2: It’s important to include personalized options within the cover letter generator. This indicates the need to add an input box allowing users to highlight specific qualities that they believe are important to include in the generated cover letter.
I volunteered to present my progress on this project within a company-wide UX working group meeting, which was created to bring UX teams together across the various subsidiaries at Everyday Health Group. A screenshot of my presentation is shown below!
This was my first contracting role, exposing me to cross-functional teamwork and the emerging field of generative artificial intelligence, a topic I was eager to explore. Designing an AI-driven product was an incredibly fulfilling experience, offering me the opportunity to contribute to a cutting-edge project in the emerging field of UX.
I am proud of the ability to highlight my product-thinking skills and defend my design decisions to Product leads and Developers.
I got a lot more experience with hands-on user research. Some highlights included crafting test scripts, analyzing interviews, and synthesizing interviews. I learned how to discern valuable feedback, prioritize findings, and transform interview findings into actionable changes, utilizing supporting clips from testers to strengthen my recommendations.
After the product was released, I conducted another unmoderated user test to gather evaluative user testing findings from healthcare professionals post-release. Because this was towards the end of my contract, I made the following recommendations for the next designer to iterate on my design:
Insight 1: There is a misunderstanding of the purpose of the cover letter generator, which is to tailor one’s cover letter to a specific job posting. Add a line of instructions telling users to copy and paste job information from a real job posting they are interested in.
Insight 2: It’s important to include personalized options within the cover letter generator. This indicates the need to add an input box allowing users to highlight specific qualities that they believe are important to include in the generated cover letter.
I volunteered to present my progress on this project within a company-wide UX working group meeting, which was created to bring UX teams together across the various subsidiaries at Everyday Health Group. A screenshot of my presentation is shown below!
This was my first contracting role, exposing me to cross-functional teamwork and the emerging field of generative artificial intelligence, a topic I was eager to explore. Designing an AI-driven product was an incredibly fulfilling experience, offering me the opportunity to contribute to a cutting-edge project in the emerging field of UX.
I am proud of the ability to highlight my product-thinking skills and defend my design decisions to Product leads and Developers.
I got a lot more experience with hands-on user research. Some highlights included crafting test scripts, analyzing interviews, and synthesizing interviews. I learned how to discern valuable feedback, prioritize findings, and transform interview findings into actionable changes, utilizing supporting clips from testers to strengthen my recommendations.
Prototype Walkthrough Video
