Context

While applying for internships on job platforms, I realized the redundancy of repeatedly entering the same information. This unnecessary task seemed to add to the already overwhelming job search process. Discussing this with friends and cousins, I discovered it's a common issue, often dismissed as a minor inconvenience.

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While I agree it's not a major hurdle, it's repetitive and avoidable. So, as the natural problem-solver I am, I decided to find a solution.
Tired of spending more time applying than exploring? Me too! As a curious and inquisitive person, I understand the frustration of the tedious application process.

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Let's say goodbye to redundancy and hello to a revamped job application experience!

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Goal

To incorporate a ChatGPT extension that can generate and answer recurring questions on LinkedIn. [Even the “Easy Apply” feature, frequently asks a consistent repetitive set of inquiries for a given role.]

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Design Process

A user-centered approach is the cornerstone of good UX design, and that's why I chose the EDIPT Design Process, which effectively prioritizes this approach.

Target Audience

1. University Students (Age 18–24)
2. People exploring new careers or shifting fields
3. Employees applying to newer specific roles in their domain

Moving forward, I intend to diversify my participant pool to include a broader range of users as I continue to work on this research from different perspectives.


You can participate too by filling out the google form- click here. This can help us refine our iterations better!

And some other open-ended subjective questions such as- How does applying to jobs fit into your daily routine? And what part of it takes the least and most amount of time?
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Understanding My Audience:  

I decided to conduct primary research by surveying my friends and family.  Since we're all third-year university students, I felt a significant portion of them would have encountered the same issue. While this approach provided a readily available pool of participants, it also introduced a potential bias.  The group would likely be frustrated and overwhelmed – a valid concern.  However, I saw this as an opportunity to gather a wealth of complaints, which could be valuable in shaping  the initial design.

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Competitor Analysis
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User Personas

*These personas are not actual users but a representation of a group of people.

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User Journey Map

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User Pain Points

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Potential Solution

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Moving on to incorporating these insights into the design

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"I’m giving the “Easy Apply” a shot but there’s a ton of questions! Only got two filled in automatically, and I’m just two-thirds my way through. Not exactly a walk in the park, and it kinda ruined my expectations lol.” — LinkedIn user"

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Also, a quick look in comparison with Google’s Autocomplete

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Features included in the solution

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Since this is a prototype, I have not been able to use these metrics to evaluate my design. However, while making the designs and if this prototype were to be evaluated, these are the metrics I would use to evaluate the app.

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Metrics of Evaluation

Qualitative Metrics

• User Engagement: Observed frequency and manner of user interaction with the extension.

• Perceived Difficulty: Gathered user feedback on the ease of use and difficulty of new features.

• User Feedback: Incorporated insights from usability studies to refine the design.

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Quantitative Metrics

• Document/Link Uploads: Monitored the average number of documents and links uploaded per user.

• Application Submission Rate: Measured the number of applications submitted within a 20-minute timeframe.

• Completion Rate: Tracked the percentage of applications completed compared to those started, assessing drop-off rates.

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Design

Wireframes

Final screens

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Key Takeaways & Next Steps

• Big Impact Potential: This user-centered design has the potential to attract a massive user base!

• Learning by Doing: Iterative design and user feedback were crucial for refining the prototype.

• Inclusion Matters: We need more diverse user studies to ensure a broader appeal.

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I’d also like to address two interesting questions:

• Does ChatGPT give the same answer to everyone who asks the same question? No, it doesn’t. Here is an article by Charles Ross where you can read further about it: https://medium.com/@charles-ross/does-chatgpt-give-the-same-answer-to-everyone-521e3e9355a4
• Also, should ChatGPT even be used in the first place or not? Here is an explanatory article by
• Megan Morrone
• : https://www.fastcompany.com/90836881/should-you-use-chatgpt-to-apply-for-jobs

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Lastly, An article by Olga Green along the lines of the use of ChatGPT for LinkedIn:

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Two noteworthy points from Olga’s blog include:
— An exploration of how ChatGPT could potentially aid job seekers by optimizing profiles, crafting elevator pitches, and automating job application responses.
— And, an emphasis on personalized networking outreach, generating conversation starters, and fostering professional relationships.

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Onward & Upward!

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Here's the link to my Medium blog published in Bootcamp: <Medium blog>

Hi!
Your input will be incredibly helpful in expanding the user demographic.
Feel free to share your feedback via the Google form linked below— it’s much appreciated!

Click here to view the Google form.

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