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Beyond the Annual Review: Smarter Strategies for High-Performing Teams · The Science of Leading

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  Welcome back to The Science of Leading,
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  everyone.
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  I'm Claire Monroe, and-as always-I'm here with Edwin Carrington.
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  Today
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  we're talking about something that,
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  honestly, most people have...
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  feelings about: performance reviews.
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  Edwin,
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  do you remember your first one of those old-school,
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  annual sit-downs?
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  I do.
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  And, wow-yeah.
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  It's been a while, but honestly...
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  the model hasn't evolved as much as we'd like to think.
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  For decades,
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  companies packed a whole year of feedback into one awkward meeting-maybe
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  two, if you were lucky.
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  The goal was alignment,
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  sure.
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  But more often than not?
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  It left people frustrated or disengaged.
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  A single session can't carry
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  the weight of an entire year's performance.
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  Totally.
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  I used to just...
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  dread it.
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  We'd spend all year doing the work,
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  and then-boom-fifteen minutes of vague commentary.
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  No context,
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  no clarity.
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  Just this feeling of, "Okay, I guess that's how I did?"At my last job,
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  that finally broke for me.
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  We were checking boxes, not growing people.
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  And once I saw that...
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  I couldn't unsee it.
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  You're not alone in that,
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  Claire.
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  And the data really backs it up.
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  Organizations are shifting away
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  from these static, once-a-year reviews toward something more fluid-more
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  human.
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  Think of it less like an event,
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  more like a rhythm:Set goals early,
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  track real-time progress, check in frequently,
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  and give recognition as it's earned-not months later.
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  Yeah...
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  when you lay it out-plan, monitor,
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  review, reward-it's almost too logical.
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  But so many teams never get past
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  the "set-and-forget" phase.
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  I've seen it-people flounder in silence for
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  months, then get blindsided during review season.
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  It's like...
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  we're building in failure by staying silent.
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  Exactly.
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  And it's not just about catching problems earlier-though that matters.
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  The
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  continuous model actually builds stronger teams.
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  Better engagement.
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  Less turnover.
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  And it gives managers a real chance to develop people,
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  not just evaluate them.
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  If a review ever feels like a surprise,
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  that's a sign something's broken in the system.
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  And that word-"agility"-keeps
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  coming up.
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  Ongoing feedback lets teams adjust while the work is still happening.
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  It's
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  like having headlights in a storm versus just reading the weather report
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  afterward.
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  That's a great way to put it.
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  Continuous feedback creates visibility.
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  And
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  in today's pace of change, that adaptability?
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  It's not optional-it's survival.
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  Okay-so let's get practical.
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  What do high-performing
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  teams actually do differently?
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  Because I know everyone says "set clear
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  goals," but that's...
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  just the tip, right?
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  Right.
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  It starts with clarity-but clarity plus collaboration.
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  When people help
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  shape the goals, they buy in.
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  It's not just a list handed down-it becomes
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  a shared mission.
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  Then you layer in real feedback-specific,
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  useful, and timely.
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  Not just, "good job," but: "Here's what worked-and
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  why it mattered."That totally tracks.
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  I remember reading about Tonkin + Taylor.
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  They brought in regular one-on-ones
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  and a tech system to support it,
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  and suddenly...
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  participation in reviews jumped to like 90%.But it wasn't just more feedback-it
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  actually felt fairer.
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  People understood what success looked like,
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  and how to grow toward it.
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  Exactly.
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  Those regular check-ins create momentum.
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  And when recognition becomes
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  part of the system-not just a random "thanks"-you start seeing real behavior
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  change.
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  And it can't just be about the top performers.
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  Recognition has to be equitable,
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  or you lose trust.
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  Okay, but let's talk Bombas for a second.
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  They had this
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  mess of Google Docs, no one knew who owned what-classic chaos.
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  Then they
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  implemented a real performance platform,
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  trained their managers, and suddenly everything clicked.
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  Employees actually
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  knew how to get promoted, what was expected,
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  and reviews weren't a black box anymore.
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  That combo-clarity plus training-was
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  huge.
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  Manager training is often the linchpin.
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  Because when managers know
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  how to coach-not just critique-everything shifts.
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  Add in recognition,
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  some autonomy...
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  and you get loyalty.
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  People stick around when they're trusted and seen.
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  And
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  the tech's not magic-but it's a multiplier,
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  right?
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  Tools like Culture Amp make the good practices easier.
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  But they
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  still need thoughtful people behind the scenes.
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  Recognition doesn't have
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  to be cash.
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  Sometimes just...
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  a well-timed shoutout hits harder than a bonus.
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  Exactly.
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  So when you add
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  it all up-clear, collaborative goals...
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  real-time feedback...
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  thoughtful recognition...
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  the right tools...You create a culture where people want to show up and
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  solve problems.
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  That's miles away from the checkbox review systems of the
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  past.
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  And if anyone's listening like,
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  "Uhhh, where do I even start?"Just-start small.
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  One good weekly check-in
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  can change the whole dynamic.
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  Don't wait for the perfect system.
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  It's about
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  layered momentum.
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  You build better culture the same way you build anything:
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  one solid habit at a time.
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  Okay,
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  shifting gears-I want to touch on hiring for a second,
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  because...Before I got into this stuff,
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  I definitely thought good hiring was mostly gut instinct.
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  You know-"Does
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  this person vibe with us?"But apparently...
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  that's not exactly science.
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  A very common belief.
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  But gut instinct-while
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  tempting-is wildly unreliable.
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  Unstructured interviews,
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  where we just chat?
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  Those have predictive validity of around 14-20%.That's...
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  basically flipping a coin.
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  Charisma often overshadows actual capability.
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  So
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  the answer's not no instinct-it's structure plus instinct?
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  Like,
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  same questions, clear rubrics,
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  role-specific assessments?
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  Exactly.
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  Structured interviews level the playing field.
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  And when you add work samples
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  or cognitive tests, you're finally seeing how someone performs-not just
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  how they present.
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  Companies like Unilever and Chipotle are using AI tools
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  to streamline this-and it's working.
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  Time-to-hire goes down.
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  Diversity goes up.
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  But here's my worry-Doesn't automation risk locking
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  in the same old biases if we're not careful?
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  Like,
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  the tool's only as fair as the data it's fed,
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  right?
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  That's an essential point.
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  Which is why human oversight has to stay
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  in the loop.
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  The best companies audit their systems regularly,
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  use frameworks like the Rooney Rule,
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  and track demographic data to spot bias in real time.
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  Tech can help-but
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  only when paired with ethical leadership.
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  So...
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  use data like a compass-not a driverless car.
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  Leaders still have to steer.
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  And
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  that means transparency.
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  Fairness.
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  Actual accountability.
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  Exactly.
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  The goal is never perfection.
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  It's clarity,
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  consistency, and learning with every cycle.
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  That mindset-that's what transforms
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  hiring and performance.
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  Honestly...
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  that's the big takeaway.
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  Whether we're talking feedback,
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  hiring, or recognition-this stuff builds over time.
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  It's not about nailing
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  every step.
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  It's about choosing to get better,
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  one layer at a time.
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  And if you're wondering how to put this into action...You
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  can test out OAD's tools-like behavioral assessments-for free at o-a-d
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  dot a-i.
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  They make it easier to spot team fit,
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  align goals, and simplify those people decisions that matter most.
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  And
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  if you haven't yet-go check out our earlier episodes on motivation,
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  hiring bias, or AI in the workplace.
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  We've covered a lot-and we're just
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  getting started.
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  Thanks for listening,
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  everyone.
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  Stay curious, keep leading...
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  and always question the default.
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  See you next time!