Background

Job hunting today is exhausting and demotivating due to the time-consuming process of matching job descriptions with one's profile, filling out repetitive information, and submitting applications. According to Google, applicants spend 30-60 minutes on each application, leading to frustration and disorganization, especially when submitting over 100 applications. Keeping track of applications and following up becomes challenging, risking missed opportunities.

Project Summary

Timeline

• Oct 2022 - May 2023

<aside> 📄 View complete project Report here

Pisal_Tanvi_MSHFE_Sp2021_Job Application Portal.pdf

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My Role & Responsibility

• UX Research
• UX Design
• Prototype
• Usability Testing

Tools and Methods

• Figma
• Zoom for conducting virtual usability testing
• Google docs for documentation

Problem

The job hunting and searching for a job which matches your profile, filling out the information while applying for a job and keeping track of it is a difficult and time-consuming process where users face a lot of conflicts, and it can lead to the potential chaos.

Proposed Solution

The objectives of the FindIt job tracking dashboard portal are:

• To find the jobs for the users that match their profile and goals.
• Help them in the application process by auto filling the information about themselves, their work and education history and other demographic, race, and gender information as users would have already filled this data while signing up on the app.
• Furthermore, it also helps users by providing a data visualization of the applications and their status. This is done by asking the user to link all the job portals he is applying from and pull the data from these portals directly and display it to the users in a structured or a tabular layout format. This will save significant time for the user and will keep them updated with the status of all their applications.

Design Process

User Research

Google Survey

I used Google Surveys for user research due to their efficiency and cost-effectiveness in collecting data from a diverse user base. They are easy to create, distribute, and customize, and integrate seamlessly with other tools like Google Sheets. Their quick turnaround time also aligns with my need for efficiency and cost-effectiveness, making them a popular choice for user research.