Filter low-quality job applications automatically
The Problem: Overwhelmed with irrelevant job applications
I had a client who ran a public recruitment for an SEO expert, and while they got tons of applications, most of them weren’t great. They ended up wasting hours going through irrelevant or poorly written resumes, which dragged out the hiring process and made it hard to focus on other important tasks. What they really needed was a way to quickly weed out the bad ones so they could spend their time on the strong candidates."
The Solution: Automate application filtering using Make.com
To streamline the recruitment process, I built an automation flow in Make.com that evaluates job applications and filters out low-quality submissions. Here’s how I solved it:
- Connect Gmail: Log in to Make.com and connect the Gmail module. Configure it to fetch unread emails containing job applications from the recruitment email inbox.
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Analyze Application Content with ChatGPT:
Add the ChatGPT module as the second step. Pass the email content (cover letter) to ChatGPT for evaluation. Configure it to return a score between 1 and 10 based on relevance, qualifications, and professionalism.
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Filter Low-Quality Applications:
Add a filter between steps. Configure it to pass only applications scored below 4 to the next module to be moved to spam.
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Remove irrelevant Applications:
Add a Gmail module to mark the filtered, irrelevant applications to spam folder clearing the inbox.
This is a basic version that only checks the email body for demonstration purposes; of course, we can expand it in many ways to make it more robust. With this automation, the recruitment process became significantly faster and more efficient. The client was able to focus only on qualified candidates, saving countless hours and ensuring they didn’t miss the best talent among the applications.