Manual screening of resumes is a reality which every hiring manager has to go through. Every week, companies get tons of applications for the open job positions, and hiring managers has to go through each one of the resumes manually to filter out the good ones which they could take forward into their hiring funnel.
We realized this pain more while building aircto. Very often, we get to hear from our customers if we can help them screen the candidates and take only the good ones forward to the interview round. They want us to filter out the bad candidates based on the information available within the resume. In the beginning, we agreed to do this, in order to not lose some early customers.
This is one of the spreadsheets where we listed all the candidates shared by our customers and added feedback after reviewing each resumes, manually.
Terribly painful process. This pushed us to think deeper to understand this problem better. We slept over the idea for few months to find the edge cases and pain points which is hurting the screening process. It became evident that Resume Screening is the very first step in the vetting process. We wanted to fix this and get rid of all the below issues for the companies.
According to this report, screening resumes is estimated to take up to 23 hours for just one hire. That means resume screening is still the most time-consuming part of recruiting.
52% of talent acquisition leaders say the most difficult part of their job is screening the right candidates from a large applicant pool.
Therefore, as your number of open job positions increases so does your time investment in screening resumes.
Screening resumes is a slow and boring process. Let’s admit that. As a hiring manager, we have to plan to review each resume along with too many other priorities. Sometimes, we defer this task and only to realize when we get an email like this from AngelList, 100 candidates are expiring in the next 2 days.
Oh, god. I really want to screen those resumes to make sure I am not missing out on any good ones (even though we are not hiring right now). But that rarely happens. Good candidates keep on knocking on our door and we keep on missing them. This should be the last thing any hiring manager wants.
When we’re reviewing candidates manually, there is always a chance to miss out on some useful data points which are there in the resume. This leads to having bad candidates into our hiring funnel and we miss out on the good candidates who should be in our hiring funnel instead.
Looking at those fundamental resume screening problems, we took the plunge to take these challenges head on. Our product and engineering team reviewed every minor data points present in over 300 resumes and tried to find meaning from it. We looked into the digital foot prints of the candidates and segregated those information into coding and social scores. This helped us to get a good starting point for the implementation.
One of the brainstorming sessions on Filters
With Filters, our aim is to solve the pain points of manually screening resumes and redefine the resume screening. We have built Filters with powerful technologies and algorithms which parses every detail from the resume. Our NLP backed system finds relevant information from Internet about candidates, weighs their activity and present it to you with a meaningful data which helps you to make a quick call whether to proceed further with the candidate or not without having you to spend a minute on this.
It helps you save time, gets your relevant data about candidates and assigns coding & social scores to the candidates based on their activity on the internet.
How does it work?
Filters offers you a simplified way to upload resumes and with the required skill set you’re looking into the candidates for a specific job opening.
Uploading resumes to Filters
Once you upload the resumes, our super powerful NLP backed system digs through the resumes, finds relevant information from the internet about candidates, weighs their activity, and presents it to you with the meaningful data.
Filters report for the resume
Does it look like a magic? But it's not really, we do it through AI. We have launched a public free trial version today. So, go ahead to see the magic yourself. :)