Talent Acquisition That Works: Building Modern Recruiting Engines

Claire Monroe

Hey everyone, welcome back to The Science of Leading. I’m Claire Monroe, and—yep, Edwin Carrington is here too. Today we’re getting into something a ton of you have asked about: how to actually build a modern talent acquisition engine. Edwin, you’ve been in this space for a while—have you ever seen recruiting shift this fast?

Edwin Carrington

Not like this. The shift’s been dramatic. Candidates expect more. Companies have more tools—but more complexity, too. It used to be simple: post a job, wait for decent resumes. Now? The spotlight’s on your employer brand. Your hiring experience. It’s no longer just HR’s problem—it’s a core part of the business strategy.

Claire Monroe

Exactly. Like—I was just looking at Google’s careers page again the other day, and it basically feels like part tour, part application portal, part “please come build the future with us.” And Salesforce—they’ve got this whole vibe about mission and volunteering, and honestly, it’s kind of contagious. You’re like… yeah, I could see myself there. And that’s before you even read the job description.

Edwin Carrington

That’s the magic of a strong employer value proposition—or EVP. It's not surface-level perks. It’s how you communicate your purpose, your people, your culture—consistently. And the best companies build that into everything. The result? They attract people who don’t just apply—they stick.

Claire Monroe

And this doesn’t have to be a Fortune 500 thing. My last company—we were like 120 people?—and we scrapped our old careers page and just… filmed some real talk. Employees chatting about what surprised them, what kept them there. The lighting was awful, but it felt real. And within, like, a week? Boom. Totally different energy in the applicants. People started referencing the videos in interviews. It was wild.

Edwin Carrington

That’s what happens when you map the full candidate journey. Every touchpoint counts. From the first click on your job post to that final handshake—or Zoom call—each step can either engage or erode trust. Friction adds up. So does thoughtfulness.

Claire Monroe

Yeah, and that includes stuff like—how fast you respond. I mean, ghosting a candidate? That’s not just bad manners. It’s brand damage. For them, that was your company.

Edwin Carrington

Exactly. Every candidate interaction either builds or breaks your reputation. Even if someone doesn’t get the role, they should walk away thinking, “Okay, that’s a place I’d still recommend.” That’s how you build long-term trust—and pipelines that last beyond a single hire.

Claire Monroe

Alright, let’s get nerdy. Edwin, if someone wants to actually improve how they hire—where does data fit into this? Like, there’s dashboards and metrics everywhere… but what actually matters?

Edwin Carrington

Start simple. Track time-to-fill. Source of hire. Offer acceptance rate. Candidate feedback. These aren’t just checkboxes—they’re signals. They show where your funnel’s leaking, or where things are working. Companies like Unilever? They track everything—application to interview to hire—and adjust in real time.

Claire Monroe

Yeah, I remember one manager saying time-to-fill was “just for HR.” And I was like, wait—if it’s taking forever to hire, something’s broken, no? And that offer acceptance rate—if people bail at the finish line, that’s not just about salary. It’s the whole experience, right?

Edwin Carrington

Right. That metric reflects your entire process. If candidates say yes to interviews but no to offers, there’s a disconnect—either in messaging, the offer itself, or how they were treated along the way. And without data, you’re guessing.

Claire Monroe

Okay—but candidate feedback? Like actual surveys? I feel like almost no one does that.

Edwin Carrington

They should. Candidate experience metrics give you insights your hiring team can’t see from the inside. Microsoft layers this into LinkedIn Talent Insights and uses it to refine sourcing and stakeholder alignment. It closes the loop.

Claire Monroe

Oof, okay—and what about bias? There’s so much talk about using AI for “fairness”—but can data actually help here?

Edwin Carrington

It helps, yes—but only if used carefully. Structured scorecards. Skills-based assessments. Tracking funnel diversity. These are real levers. But AI isn’t neutral by default—it needs human oversight. Think of data as your flashlight, not your compass.

Claire Monroe

That’s a solid line. I’m also thinking of that consulting project you told me about—the tech firm with the hiring logjam. What did you find when you went in?

Edwin Carrington

They were bleeding candidates—60 days to fill an engineering role, often losing people at the offer stage. We dug into the numbers, and what changed everything was holding monthly review meetings. No guesswork—just, “Here’s what the data says.” With tighter interview panels and better screening? They cut their hiring time in half. And candidate satisfaction jumped.

Claire Monroe

I love that. No silver bullet, just… paying attention, consistently. And trusting what the numbers are showing you.

Edwin Carrington

Exactly. Data’s not the solution—it’s the feedback loop. The real work is developing the discipline to act on it.

Claire Monroe

Okay, tech time. I swear, there’s a new AI tool every five minutes. Edwin, is it mostly hype—or is recruiting really changing?

Edwin Carrington

It’s not just changing—it’s accelerating. Tools like SeekOut and HireEZ are cutting sourcing time dramatically. Instead of matching on keywords, they surface actual skill-based matches. It’s smarter, faster, and way less manual.

Claire Monroe

That’s huge—especially for small teams. I mean, automating stuff like scheduling or screening frees you up for the human parts—like, “Does this person actually fit?”

Edwin Carrington

Exactly. And that leads to something bigger: skills-first hiring. IBM, Google—they’ve dropped degree requirements for many roles. They care more about what you can do than where you studied. That widens your talent pool—and helps uncover hidden stars.

Claire Monroe

Okay wait—does that mean internal mobility’s having a moment, too? Like, if you’re already inside the company and show you can deliver, you have more options?

Edwin Carrington

Yes—and it’s long overdue. Internal career paths, rotational programs, project-based roles… those are becoming central. It’s a win-win. People stay longer. Teams grow from within.

Claire Monroe

And honestly, that’s where tech shines—it surfaces people you might’ve missed. But—real talk—I had a friend get auto-rejected because they didn’t check some arbitrary box. Is that a tech fail, or…?

Edwin Carrington

That’s the shadow side. Over-automation can screen out brilliant, unconventional thinkers. Tools should assist—not replace—human judgment. When tech becomes the gatekeeper, you risk losing the spark that doesn’t fit the mold.

Claire Monroe

So—if we zoom out, it’s like: use data, embrace tech—but keep it human. Build something that adapts, learns, and, you know… doesn’t forget we’re talking about people here.

Edwin Carrington

Exactly. The best talent engines don’t just fill jobs—they power growth. Insight, empathy, strategy. That’s the future.

Claire Monroe

Alright, that feels like a mic-drop moment. And hey—if you’re listening and thinking, “Cool, but where do I start?” Try mapping your candidate journey. Track one or two key metrics. Experiment with one new tool. You don’t need a full tech stack—just momentum.

Edwin Carrington

Well said. And if you're wondering how to put this into action—especially around team fit and behavioral assessments—you can test out OAD’s tools for free at o-a-d-dot-a-i. It's a great way to build smarter, more aligned hiring systems.

Claire Monroe

Alright, Edwin—thank you as always. This was such a rich one.

Edwin Carrington

Likewise, Claire. Always enjoy these deep dives.

Claire Monroe

And thank you for listening to The Science of Leading. More to come soon.

Edwin Carrington

Take care, Claire. Take care, everyone.