This blog post is based on the twenty-third episode of the data-driven recruiting podcast hosted by CodeSignal co-founders Sophia Baik and Tigran Sloyan. You can find and listen to this specific episode here or check out the video version embedded below.
Data-driven recruiting is becoming one of the buzzwords of the recruiting world.
But… what is it? And, more importantly, how do you implement it at your organization without feeling overwhelmed?
This episode of the DDR podcast dives into the four steps of the recruiting process and how you can use data to improve each one along the way.
Step 1: Engagement
At the top of the funnel it’s about engaging applicants. How do you even get people in your funnel: inbound and outbound. Inbound is casting a wide net while outbound is spearfishing. When it comes to the top of funnel, you need to have data to know where to focus your efforts.
Some of the things you should measure at the top of the hiring funnel include:
- How many total applicants applied to each job
- What job boards are bringing the highest quality of applicants
- What recruiters or sourcers are bringing the best candidates
This will help you decide whether to focus on inbound or outbound recruiting. It’s not always mutually exclusive, but you want to ramp up the best channels first to maximize your ROI.
Step 2: Evaluation
Once you have someone engaged, then it becomes the evaluation stage. When we talk about evaluation, we definitely don’t mean resume evaluation. Resumes can introduce bias into your hiring process and have you focus on skill proxies rather than actual skills. That’s why we always recommend implementing an objective framework based assessment as the very first step after an applicant shows interest in your company.
Many organizations don’t do assessments or technical interviews until late in the hiring funnel. Why would you spend time interviewing folks who aren’t actually qualified? Instead, implement data-driven recruiting into your evaluation stage early!
You also don’t have to just have one assessment. Implement a baseline assessment as the first step of your hiring process but also take the time to craft logical, skill-based questions for the phone and in-person interviews. You want to make sure you have a consistent hiring process where you’re asking all candidates the same thing. Otherwise, you’re injecting potential bias into the process which could catch up with you in the long run.
Step 3: Closing Candidates
What percentage of candidates are you closing? You should dive into this as granually as your data allows. Look at the offer-to-hire ratio as well as onsite-to-hire ratio. Then slice the metrics by the channel they came in. You’ll start to be able to get a sense of the which channel ultimately gives you the best return on investment.
There are a few reasons why your close rates could be less than fantastic. Some of these include:
- Focusing too much on pedigree (university, previous employer)
- Using the wrong channels for recruiting
- Not having realistic compensation expectations
Understanding the type and source of every candidate will help you double down on the areas that are working.
Step 4: Post-hire Analysis
At the end of the day, if you end up hiring people who leave quickly or perform poorly, your entire data-driven process was for nothing. This piece of data-driven recruiting tends to be overlooked because it falls in between the cracks of talent acquisition and talent retention teams.
Don’t let these teams go down the acquisition versus retention rabbit hole. Instead, create a collaborative data-driven process that will benefit both teams by understanding the traits of outstanding employees and how you can identify them from the hiring process.