How have you used data or analytics to improve your recruitment outcomes? Specific to hiring inclusivity, we speak directly to new and existing hires and map what they're saying to our own internal analysis data, rather than just relying on third-party data. This means having an employee-feedback first system that helps us to understand what we can do better when it comes to the hiring and onboarding processes for new hires, as well as how we can reach new hires utilising different recruitment approaches (for those who may not be able to access the usual places like online job boards or even job fairs) to ensure we're giving as many people as possible a fair chance to apply and become part of the team.
How have you used data or analytics to improve your recruitment outcomes? We define and assess what we call 'points of hiring bottlenecks', throughout the recruitment process to ensure that, at no stage, are we reducing the capability for anyone to apply or reach out to the team directly if they're interested in a role. This means constantly vetting your recruitment strategies as they are, knowing how to identify weak points and, crucially, actually acting on the data (and being willing to change approaches based on what the data tells you).
We focus on integrating AI as a collaborative tool, rather than a replacement for human expertise. By automating the routine tasks of initial candidate screening and data analysis, for example, our team is able to shift their time and energy toward strategic thinking, personalized communication, and relationship building. This balance enables us to scale efficiently while preserving the human insight and empathy valued by clients.
When it comes to talent acquisition metrics, I don't believe offer acceptance rates reveal much, and so, I often try to steer companies towards better measures of hiring success. The issue is context -- in this case, a lack thereof. A high acceptance rate means little if you have a weak pipeline; in fact, it may mask a lesser pool of candidates. Poor selectivity -- offering roles to underqualified candidates -- will make your acceptance rate look stellar. But that's not good hiring. And, on the other hand, a low acceptance rate might not be bad at all if you're stretching to reach exceptional candidates who are fielding multiple offers. Acceptance rate is also heavily influenced by external factors, like compensation structure, leading to high fluctuation in both boon and bust times. The broader economy plays a massive role here. Now, when paired with a strong qualitative metric, like candidate feedback, a fuller picture can begin to emerge. But alone, it's largely meaningless, and prioritizing this metric may lead hiring teams to optimize for the wrong factors.
At Interactive Counselling when hiring therapists, I have to figure out which recruiting channels are worth the money. Some sites find great candidates while others are a flat-out waste of time, so I moved the budget based on what actually worked. We also use candidate feedback to fix our onboarding process. For me, how long a therapist sticks around is the real measure of hiring success.
(1) I track time-to-offer because it shows me the level of team alignment we have achieved. The process takes too long when the role lacks clear definition and team members lack understanding of what constitutes success. The hiring process should operate with the same natural flow as a custom-made garment that provides a perfect fit. (2) The amount of job applications does not hold any value to me. The number of applications appears impressive in reports yet it fails to demonstrate either candidate quality or meaningful connections. The selection of 10 candidates who share our values match is more valuable than receiving 500 resumes that do not align with our organization. The amount of unnecessary information does not create additional opportunities. (3) I determine candidate quality through their ability to transform team dynamics by introducing innovative solutions and creating trust relationships and supporting team members' growth. The changes become noticeable before any performance data appears in metrics. I evaluate candidate experience through their feedback about the recruitment process because it shows how well they felt understood and valued during their journey. (4) Our team started monitoring interview-to-offer progress while analyzing diversity levels among those who advanced to the offer stage. The tracking system revealed unintentional biases which occurred through specific interview questions and formats that excluded women and non-native English speakers from the process. The absence of fairness becomes apparent through the exclusion of candidates rather than their selection for positions. (5) Fairness stands as our absolute requirement. The entire purpose of hiring becomes meaningless when we prioritize speed over cost savings and seat availability. I accept longer hiring times to discover candidates who match the position requirements and bring additional value to the role. The most valuable candidates bring new opportunities instead of simply replacing absent personnel.
We know that you work at your most effective when you've got the right people on your team. So at Reclaim247, we've made it a priority to track "quality of hire" and "retention after probation". We closely monitor these as leading indicators that tell us whether our hiring efforts are effective, sustainable (rather than just efficient). It can be easy to focus on time-to-hire like it's a war cry: but hitting a fast turnaround with time-to-hire is meaningless if the person you hire isn't given the tools they need to succeed, or even survive. To address this, we've integrated feedback loops into our onboarding process to get post-hire performance data alongside candidate satisfaction feedback. We've used this to help optimise our processes in two critical ways: 1) how we assess fit and 2) how we communicate with candidates. It's been key to us realising that the right metrics are the ones that tell you the right people are coming in the door, where the people, purpose and performance are aligned.
For me at Jacksonville Maids, employee retention is the number that matters most, way more than time-to-hire. It's the real measure of whether people are happy here. When we started pairing new hires with a mentor, suddenly more people stuck around. That showed me the small stuff makes a real difference. Hiring fast is nice, but it doesn't always get you someone who stays for the long haul.
At Tutorbase, I learned that hiring fast often means hiring the wrong people. So I stopped focusing on how quickly we filled roles. Now I track how long new hires stick around and how fast they get comfortable with our software. Feedback from both managers and new employees tells us what's actually working. This builds a better team, even if it takes a bit longer to hire.
I track how long it takes to verify our therapists' licenses. In behavioral health, you can't start a program until that's done. We had delays with our adolescent program because of slow verification. Now that we measure it, everything runs on time. Honestly, knowing how fast we can get a therapist ready tells me more about our hiring than application numbers ever could.
At Plasthetix, we learned that asking candidates for feedback was more useful than just tracking how fast we hired. Their honest comments helped us fix our communication, so more people started accepting our offers. It's a balance between being quick and being respectful, but listening to people actually made them want to work with us.