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Talent Acquisition That Works: Building Modern Recruiting Engines · The Science of Leading

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  Hey everyone, welcome back to The Science of Leading.
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  I'm Claire Monroe, and-yep, Edwin Carrington is here too.
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  Today we're getting into something a ton of you have asked about: how
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  to actually build a modern talent acquisition engine.
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  Edwin, you've been in this space for a while-have you ever seen recruiting
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  shift this fast?
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  Not like this.
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  The shift's been dramatic.
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  Candidates expect more.
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  Companies have more tools-but more complexity,
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  too.
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  It used to be simple: post a job,
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  wait for decent resumes.
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  Now?
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  The spotlight's on your employer brand.
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  Your hiring experience.
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  It's no longer just HR's problem-it's a core part of the business strategy.
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  Exactly.
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  Like-I was just looking at Google's careers page again the other day,
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  and it basically feels like part tour,
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  part application portal, part "please come build the future with us."
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  And Salesforce-they've got this whole vibe about mission and volunteering,
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  and honestly, it's kind of contagious.
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  You're like... yeah, I could see myself there.
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  And that's before you even read the job description.
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  That's the magic
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  of a strong employer value proposition-or EVP.
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  It's not surface-level perks.
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  It's how you communicate your purpose,
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  your people, your culture-consistently.
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  And the best companies build that into everything.
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  The result?
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  They attract people who don't just apply-they stick.
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  And this doesn't
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  have to be a Fortune 500 thing.
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  My last company-we were like 120 people?-and we scrapped our old careers
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  page and just... filmed some real talk.
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  Employees chatting about what surprised them,
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  what kept them there.
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  The lighting was awful, but it felt real.
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  And within, like, a week?
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  Boom.
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  Totally different energy in the applicants.
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  People started referencing the videos in interviews.
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  It was wild.
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  That's what happens when you map the full candidate journey.
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  Every touchpoint counts.
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  From the first click on your job post to that final handshake-or Zoom
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  call-each step can either engage or erode trust.
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  Friction adds up.
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  So does thoughtfulness.
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  Yeah, and that includes stuff like-how fast you
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  respond.
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  I mean, ghosting a candidate?
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  That's not just bad manners.
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  It's brand damage.
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  For them, that was your company.
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  Exactly.
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  Every candidate interaction either builds or breaks your reputation.
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  Even if someone doesn't get the role,
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  they should walk away thinking,
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  "Okay, that's a place I'd still recommend." That's how you build long-term
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  trust-and pipelines that last beyond a single hire.
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  Alright,
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  let's get nerdy.
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  Edwin, if someone wants to actually improve how they hire-where does
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  data fit into this?
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  Like, there's dashboards and metrics everywhere... but what actually matters?
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  Start
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  simple.
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  Track time-to-fill.
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  Source of hire.
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  Offer acceptance rate.
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  Candidate feedback.
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  These aren't just checkboxes-they're signals.
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  They show where your funnel's leaking,
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  or where things are working.
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  Companies like Unilever?
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  They track everything-application to interview to hire-and adjust in
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  real time.
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  Yeah, I remember one manager saying time-to-fill was "just for
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  HR." And I was like, wait-if it's taking forever to hire,
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  something's broken, no?
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  And that offer acceptance rate-if people bail at the finish line,
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  that's not just about salary.
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  It's the whole experience, right?
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  Right.
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  That metric reflects your entire process.
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  If candidates say yes to interviews but no to offers,
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  there's a disconnect-either in messaging,
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  the offer itself, or how they were treated along the way.
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  And without data, you're guessing.
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  Okay-but candidate feedback?
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  Like actual surveys?
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  I feel like almost no one does that.
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  They should.
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  Candidate experience metrics give you insights your hiring team can't
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  see from the inside.
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  Microsoft layers this into LinkedIn Talent Insights and uses it to refine
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  sourcing and stakeholder alignment.
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  It closes the loop.
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  Oof, okay-and what about bias?
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  There's so much talk about using AI for "fairness"-but can data actually
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  help here?
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  It helps, yes-but only if used carefully.
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  Structured scorecards.
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  Skills-based assessments.
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  Tracking funnel diversity.
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  These are real levers.
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  But AI isn't neutral by default-it needs human oversight.
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  Think of data as your flashlight,
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  not your compass.
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  That's a solid line.
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  I'm also thinking of that consulting project you told me about-the tech
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  firm with the hiring logjam.
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  What did you find when you went in?
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  They were bleeding candidates-60 days
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  to fill an engineering role, often losing people at the offer stage.
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  We dug into the numbers, and what changed everything was holding monthly
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  review meetings.
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  No guesswork-just, "Here's what the data says." With tighter interview
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  panels and better screening?
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  They cut their hiring time in half.
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  And candidate satisfaction jumped.
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  I love that.
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  No silver bullet, just... paying attention,
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  consistently.
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  And trusting what the numbers are showing you.
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  Exactly.
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  Data's not the solution-it's the feedback loop.
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  The real work is developing the discipline to act on it.
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  Okay,
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  tech time.
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  I swear, there's a new AI tool every five minutes.
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  Edwin, is it mostly hype-or is recruiting really changing?
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  It's not just
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  changing-it's accelerating.
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  Tools like SeekOut and HireEZ are cutting sourcing time dramatically.
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  Instead of matching on keywords,
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  they surface actual skill-based matches.
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  It's smarter, faster, and way less manual.
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  That's huge-especially for
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  small teams.
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  I mean, automating stuff like scheduling or screening frees you up for
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  the human parts-like, "Does this person actually fit?"Exactly.
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  And that leads to something bigger: skills-first hiring.
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  IBM, Google-they've dropped degree requirements for many roles.
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  They care more about what you can do than where you studied.
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  That widens your talent pool-and helps uncover hidden stars.
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  Okay wait-does
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  that mean internal mobility's having a moment,
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  too?
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  Like, if you're already inside the company and show you can deliver,
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  you have more options?
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  Yes-and it's long overdue.
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  Internal career paths, rotational programs,
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  project-based roles... those are becoming central.
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  It's a win-win.
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  People stay longer.
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  Teams grow from within.
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  And honestly,
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  that's where tech shines-it surfaces people you might've missed.
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  But-real talk-I had a friend get auto-rejected because they didn't check
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  some arbitrary box.
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  Is that a tech fail, or...?That's the shadow side.
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  Over-automation can screen out brilliant,
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  unconventional thinkers.
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  Tools should assist-not replace-human judgment.
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  When tech becomes the gatekeeper,
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  you risk losing the spark that doesn't fit the mold.
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  So-if we zoom out,
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  it's like: use data, embrace tech-but keep it human.
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  Build something that adapts, learns,
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  and, you know... doesn't forget we're talking about people here.
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  Exactly.
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  The best talent engines don't just fill jobs-they power growth.
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  Insight, empathy, strategy.
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  That's the future.
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  Alright, that feels like a mic-drop moment.
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  And hey-if you're listening and thinking,
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  "Cool, but where do I start?" Try mapping your candidate journey.
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  Track one or two key metrics.
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  Experiment with one new tool.
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  You don't need a full tech stack-just momentum.
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  Well said.
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  And if you're wondering how to put this into action-especially around
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  team fit and behavioral assessments-you can test out OAD's tools for free
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  at o-a-d-dot-a-i.
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  It's a great way to build smarter,
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  more aligned hiring systems.
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  Alright,
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  Edwin-thank you as always.
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  This was such a rich one.
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  Likewise,
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  Claire.
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  Always enjoy these deep dives.
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  And thank you for listening to The Science
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  of Leading.
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  More to come soon.
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  Take care, Claire.
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  Take care, everyone.