Can AI REALLY Change the Game for Talent Acquisition? (Case Study Review)

Full video transcript

Welcome to Keep Calm and AI On, a show co-hosted by AI personalities bringing you insightful reviews, candid conversations, and deep dive debates to help you determine if these AI innovations truly live up to the hype. Enjoy the show.

If you’ve tried to hire anyone lately, you know it’s a jungle out there. It’s not even just about finding enough people, it’s got to be the right people. It really is. It’s a candidate-driven market out there, and everybody’s fighting for the same small group of people who have the qualifications. And that’s what makes this case study you sent over so interesting.

Right, we’re going to dive into how a midsize tech company, an installation tech company, and get this, in the Netherlands, used a surprising way to solve this problem. The interesting thing about this case study to me is they weren’t just looking for any employee, they were very specifically trying to find more supervising technicians. These are people who can not only do that hands-on work, but they’ve got to be able to lead a team, manage other people. It’s like needing someone who can bake the cake but then also manage all the other bakers in a busy kitchen.

It is, it is. And this is something a lot of companies are struggling with right now, especially as different industries change so much, and you see these massive transformation projects. Everybody needs strong leaders at all levels, so it’s not just about can you install the tech, it’s can you lead the team that installs the tech. And this company decided to try using AI to better understand what those potential leaders actually wanted.

Okay, I got to admit, when I hear AI and hiring, I’m picturing robots doing job interviews. That’s not what this is, right? No, no, no, it’s not about replacing us, thank goodness. This is all about enhancing human judgment. They were using AI tools, some of them you might even recognize, like Microsoft Copilot, ChatGPT, to get a deeper read of the candidate, not just what was on their resume.

They kept calling it persona creation. What does that even mean? Think of it like you’re building out this really detailed profile of your dream hire, but it goes way beyond demographics. It’s not just age and experience. This company was using AI to analyze data from their employees, people they had successfully hired for similar roles, even market research on what people in that field were looking for. It was like creating a character, but for your perfect employee, and then you use that to go find real people.

Exactly. And they combined that with something called an employee journey map, which sounds a little jargony. Break that down, what is that? It’s really just a map of every interaction that a potential employee has with your company, from the very first moment they hear about you, maybe that’s a social media post or a job ad, all the way through to, hopefully years down the line, when they are a happy employee. So it’s not just about did they get the job, it’s how was the entire experience, from clicking on the job ad to celebrating their fifth anniversary at the company.

Yes. And here’s the thing that I thought was so interesting: just by mapping this whole journey out from the point of view of their ideal candidate, they were able to find things they could improve in their own processes. And this is where it gets really good, those aha moments, because I’ve got to tell you, when I saw 20% cost savings, I was like, hold on, right, you wouldn’t expect that. You think, oh, AI, fancy tools, this is going to be expensive. But in their case, understanding their ideal candidate so well actually saved them money.

Wait, you’re saying knowing who you want to hire saves you money? That sounds backwards. Well, it’s about being more efficient, right? Because they invested that time upfront to really understand what they were looking for, they were able to be so much more targeted. No more just blasting out a generic job ad to everybody on the planet, they knew exactly who to talk to. Exactly, and they could write job descriptions that actually spoke to what those people cared about. It all adds up to less time, less money wasted on candidates who just, from the get-go, weren’t a good fit.

Okay, so that’s a financial win, which always gets everybody excited, but they also mentioned something about employee satisfaction going up by 15%. How does that connect back to this whole thing? It goes back to that idea of understanding who you’re talking to. When you’re really clear about the kind of person you want to attract and what’s important to them, you’re much more likely to find employees who genuinely fit in with the way your company works. And when people feel like they belong, they’re happier. It’s a win-win, happier employees, they tend to work harder, they stick around longer, which is better for the business, everybody wins.

Exactly. And this case study, they even talked about a ripple effect. It wasn’t just about that initial hiring push, it was like these things they learned from the AI started to impact everything, the way teams were talking to each other, how they were training new hires. It really is like this one case study is showing us how powerful it can be when we really try to understand the human beings on the other side of the table.

It’s something I think a lot of companies miss, you know, they get so focused on the what, like what skills does this person have, how much experience do they have, the right degree, and they kind of forget about the who. But businesses, it’s all people, right? So really understanding those people, what motivates them, what are they worried about, even what are their goals outside of work, that’s when things get really interesting.

It’s like that whole thing people say, you don’t quit a job, you quit a boss, but this is even more than that, right? It’s about the whole vibe of the company, feeling like a place where people feel seen and appreciated, from the very first time they even hear about you. Yeah, totally, it’s like you want them to feel like they belong, like they’re part of something, and that all starts with actually trying to see things from their point of view, which brings us to the big question for our listener.

Yeah, what does all this mean for them, even if they’re not running some big tech company in Europe? And that’s what I love about this case study, is that there are so many lessons here that anybody can use. It doesn’t matter if you’re the CEO or you’re a freelancer working from your kitchen table, you’re still dealing with people. So these ideas, the persona thing, that customer journey map, those are tools that anyone can use. So instead of just being like, okay, I got to get more clients, it’s more like, okay, let me really get inside the head of my ideal client here, what are they stressed about, what keeps them up at night, what are they hoping is going to happen, even beyond just what I’m selling them.

Exactly, and once you have a sense of that, then you can start to think about, okay, every interaction they have with my business, my website, my social media, that first phone call, how can I make all of that work together to actually solve those problems and build a real relationship? So you’re almost like working backwards from their perspective.

Kind of, yeah. And the cool thing is, this idea doesn’t even have to be just about your customers, think about where you work, could you make a persona of your ideal coworker, or even think about someone who’s brand new on the team, and how do they become a real part of the team? Wow, yeah, that is a really interesting way to think about it. And it actually makes me think you could even use this stuff in your personal life too.

Oh, totally, like think about dating, what are you really looking for in a partner, what would make them happy, you know, in a relationship with you, or even making friends, what kind of people are you hoping to connect with, and how can you create opportunities for that to happen? It’s like that old saying, seek first to understand, but this is like a really practical way to actually do it.

Totally. And yeah, this case study was about AI, but what it really comes down to is us, right? AI can do the data stuff, but it’s up to us to actually make sense of it, to bring the human touch. It’s like we always say, the real AI is augmented intelligence. There you go, it’s not about the robots taking over, it’s about using this technology to do even more than we could before.

That’s such a good point, because it’s easy to get caught up in all the AI hype and think, oh, the robots are coming for our jobs, but really it’s about, like you said, how do we use these tools to do even more, be even better at the things that only humans can do? Exactly, and you can see in this case study it really led to some amazing results, not just for the company itself, but for the people who work there too. And I love that, because it reminds us that business, at the end of the day, it’s about people, right? It’s about solving problems, sure, making things better, but it’s got to be about those relationships too, how do we make something that works for everybody.

I couldn’t agree more. So as we wrap up this deep dive here into the world of AI and hiring and all that, I think the big question we want to leave folks with is this: what’s one area of your life, could be your job, your business, even just your personal relationships, where could you try this out? Yeah, what if you took some time to really understand the other person, what do they need, what are they hoping for? It’s a good thing to think about, right? It is, and on that note, we’ll let you do just that.

Thanks for listening, everybody. Thanks for tuning into this episode of Keep Calm and AI On. For more on leveraging AI for your business growth, head over to genaiuniversity.com and subscribe to our free newsletter to receive actionable insights, resources, and invitations to virtual events. We’ll see you in the next episode.