Has the internet ruined The Job Hunt? - Edan Haddock


It was once a very human-centric process, but for so many of us, the internet has transformed looking for work into an automated, opaque, and intensely competitive digital gauntlet.
To help us unpack what’s going on, we’re joined by Edan Haddock, Global Head of Talent and People Experience at Movember.
https://podcasts.apple.com/au/podcast/edan-haddock-total-talent/id1833735442
00:00 The Evolution of Job Hunting in the Digital Age
03:02 The Impact of Technology on Recruitment
06:03 The Human Connection in Virtual Interviews
08:50 Navigating the Job Application Process
11:43 The Role of AI in Recruitment
14:58 Addressing Bias and Ethics in AI Hiring
17:52 The Future of Recruitment: Human-Centric Approaches
21:08 Strategies for Candidates and Employers
23:46 The Importance of Personalisation in Applications
26:52 The Balance of AI and Human Interaction
29:41 Looking Ahead: The Future of Job Searches
32:54 Final Thoughts and Future Directions
Let us know what else you’d like us to look into, or just say hello at https://www.ruinedbytheinternet.com/
job hunting, recruitment, technology, AI, human connection, application process, bias, ethics, future of work, personalisation
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Welcome to Ruined by the
Internet.
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I'm Gareth King.
Today we're asking, has the
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Internet ruined the job hunt?
It was once a very human centric
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process, but for so many of us,
the Internet has transformed
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looking for work into an
automated, opaque and intensely
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competitive digital gauntlet.
To help us unpack what's going
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on, we're joined by Eden
Haddock, Global Head of Talent
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and People Experience at
Movember.
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Eden, thanks so much for joining
us and welcome to the show.
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Thank you so much Gareth.
It's it's great to be here,
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particularly on such a beautiful
sunny day.
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Yeah, it's lovely outside today,
but before we get into it, can
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you just tell us a bit about the
work that you do and the journey
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that led you to this point?
Well, the work I do at the
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moment, I look after global
talent for Movember and that's
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total talent.
So that is hiring externals but
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also developing our people
internally.
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And Movember's just such a huge
movement.
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It's a lot bigger than people
realise and a lot more complex.
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So I recruit in Australia, New
Zealand, Canada, United States,
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United Kingdom, Ireland.
So I'm basically 24/7 jet lagged
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to be honest, Gareth and.
A lot.
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A lot on your place.
Around the globe, yeah.
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And the the exciting thing about
a role like mine at Movember is,
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you know, people think Movember
and they think the really
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creative fundraising movement
that was born out of two two
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lads having, you know, having a
beer in the pub, right.
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And raising funds for a family
member that was impacted by by
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cancer.
But you know, there, it's all of
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that.
It is a fundraising charity and
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you know, it's a significant one
with global reach.
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But we actually fund our own
research programmes, our own
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clinical research programmes.
We have an Institute of Men's
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Health, the November Institute
of Men's Health that, you know,
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they do all sorts of things.
We're tackling toxic
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masculinities, we're tackling
indigenous health, we're
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tackling health literacy in
young men.
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I mean, it's, it's, there are 70
different programmes that we run
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throughout the world.
And, you know, being able to see
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the impact of the work that I do
from the talent that I bring in
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and, and seeing how they're
really making a difference in
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men's health on a global scale
is, is really exciting.
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But then on the other hand, I'll
hire a really creative marketer
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that'll do a, you know, kick ass
marketing campaign around our
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big fundraising in terms it's
really creative and edgy and out
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there there.
And so it's a really interesting
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space I work in.
Yeah, yeah.
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So obviously November's, you
know, come a long way since it's
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it's early days.
How many, how many staff you
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know combined around the world
does November have?
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Yeah.
And look, we deliberately
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operate lean right, because the
the the funds that we raise from
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folks like us growing moustaches
or you know, people doing move
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for November challenges, we want
to make sure that that, that
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funding is going to the
programmes, right.
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So we have to operate lean and
we're all, we're all very
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dedicated, busy individuals, but
there are 350 of us scattered
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around the globe.
So yeah, cool.
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That's actually huge.
When you consider, as I said,
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something that was born, you
know, 20 years ago by two two
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guys having an idea in a pub,
it's just extraordinary.
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Yeah, absolutely.
And I guess you know, with with
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such a large remit as well and,
and you know, you being, you
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know, someone that is passionate
around innovation in in talent
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and recruitment.
What would you say is the most
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surprising change you've seen in
the industry because of
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technology?
Because of technology
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specifically, look, there are a
lot, I mean, we're in the most
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exciting phase at the moment,
which which is, you know, the AI
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revolution, right,
unsurprisingly.
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But what, what I think is really
surprising around that is as
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professionals in, in talent
acquisition and talent
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management, I think people
aren't realising how rapidly our
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roles are changing.
And I don't think people are
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embracing the creativity around
that at the moment.
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And I've been on that journey as
well.
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But I, I think that's been that,
that this is the time, this is
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the exciting time.
But I think back, I mean, I was
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still printing resumes and
putting them into a yellow
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Manila folder when I started in
this game, right?
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And you know, then you had COVID
where I, I pre COVID, I never
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thought that I would be
comfortable hiring someone that
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I've interviewed through a
digital platform form.
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And you know, even back then, it
was kind of like you would tee
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up a Skype if someone was
overseas and you know, then
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you'd be like, oh, but we're
going to need to fly them over
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because we need to meet them in
person.
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We can't hire someone who's only
met digitally.
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So like these changes happen
that are environmental changes.
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But you know, again, I think the
technology advancements that we
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had to catch up with
digitization during COVID has
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really, really changed the way
we work.
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And losing that human connection
in person means we have have to
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amplify the human connection
through digital.
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Likewise with AI.
Yeah, absolutely.
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And and on that point around
dialling up the human connection
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through digital, we know that
everyone kind of was thrown into
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that digital way of
communicating by by necessity
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during COVID and it's stuck
around to varying degrees.
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But what would you say the most
significant advantages and even
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disadvantages that that approach
might bring when it comes to
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matching the right candidate
with the right role?
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Yeah.
Look, I think, I think we give
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more power to the candidate to
be able to engage with us in a
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way that is right for them.
I, I, I think back in the formal
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interview panel days, I mean,
that was intimidating.
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I mean, did did you ever enjoy
going to a job interview?
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Look, I think, I think I've done
a panel one with like 3 people
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once and that's not even a lot
compared to stories I've, I've
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heard and read from other
people.
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And I just felt wild, you know,
I felt I was being really
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judged.
So I can imagine that, you know,
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as that grows at scale and, and
you know, say maybe people are
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even doing that online with even
more people, you, you also lose
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those nuances that you obviously
get in the room.
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So you kind of got to judge by
the tiny little square that you
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can see on your screen, which I
guess would make it even harder.
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Yeah.
And, and look, we're, we're
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being invited into people's
homes rather than inviting them
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into our environment and our
office.
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And I think there's something
really meaningful in that.
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And I think there's something
really powerful in that.
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Like I'm, I'm talking to you now
and I absolutely love the
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aeroplane lamp that you've got
in the background.
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And I love the artwork that I
can see on your bookshelf.
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I, I can't because you've got
your blur on.
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I can't see what the books are.
But you know, I'm curious about
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that because that's going to
give me a little bit of insight
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into you and we can form a
really great human connection.
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And I think when it comes to
interviews, being invited into
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someone's home is the most
intimate thing a candidate can
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do.
And it shifts that power.
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It used to be the power of this
is our environment and we're
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inviting you in.
And, and you had to show up and
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you had to in some ways lose
your authenticity because, you
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know, I, I worked in fin
services pre COVID and it was,
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you know, it was suits and ties,
right?
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It was all very rigid and very
formal, but the intimacy of
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being in someone's home
environment immediately helps
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you relax.
It helps me get to know you a
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little bit more.
But I just, I just think there
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is that beauty in the warmth
that comes with that.
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And, and, and you know, we don't
think about these things like
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you, you possibly haven't
thought about that.
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I don't think about that overly,
but I know in my mind that it's
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there.
Yeah, no, that's, that's such a
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good point around the intimacy
of getting a peek into someones
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environment.
You know, I remember I saw
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something a couple of weeks ago,
just it's just reminded me of
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it.
And it was, it was somebody
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talking about if they were
interviewing a candidate and
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they saw a rubbish bin or
something in the shot, you know,
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like stuff that you'd have in
everybody's house.
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Yeah, like that's a
disqualifier.
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So it's kind of, I don't know,
everyone must have their own
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little system of of judgement.
But that picture you're pointing
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out behind me is actually my my
fiance got got me that at
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Christmas and it's like this
Google map kind of artwork with
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the pin dropped on where we went
on our first date.
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How amazing.
So it's quite, it's quite sweet.
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And see, this is the this is the
conversation.
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And, and it's particularly
important at Movember, these
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these human conversations is
where, as I said, the power play
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doesn't exist anymore and I can
get to know the real you.
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And that is so important for our
culture, right?
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Like, yeah, totally.
Rather than being so stiff and
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formal and you know, ironically,
we're all putting, you know,
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background philtres on now and
you know, that's the as well.
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But still you're in your
environment and you're
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comfortable and you're safe.
I think that's safety is what we
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need to, you know, be really
mindful of you're able to to be
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yourself and, and, and you're
not acting and you're not posing
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because because you're safe.
Yeah, that's a, that's a good
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point there around being
yourself and relaxed versus,
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say, putting on that show that
you might feel obliged to if you
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were called into an in person
interview somewhere.
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And never mind if there's even
more people.
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You kind of almost feel like
you've got to transform yourself
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into that room rather than than
letting yourself shine through.
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You know, I get it's probably
quite an intimidating thing for
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for a lot of people if that's
not something that you're used
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to doing all the time.
That said, we're talking around
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how easy it is now to find
candidates or roles online,
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which is obviously bought this
gigantic amount of scale and
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opportunity as well.
A lot of the time that we're
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seeing, whether it's job seekers
or even talent, people like
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yourself, it's kind of this
frustration around some of these
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tools that built for efficiency
on on everybody's regard and
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everyone's kind of feeling them
out still like what's the best
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way to optimise them from from
either end?
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If there's, you know, job
seekers that are potentially
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frustrated at this process that
we're all learning how best to
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utilise it.
If they're frustrated, do you
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think it's because they might
feel ignored due to the sheer
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scale of opportunity that
technology and the Internet
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provides everybody?
So there's obviously such a huge
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amount of applicants for any
role.
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Or do you think that some of
that could come down to trying
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to beat that system by this kind
of low effort numbers game
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approach to applications?
How will this play out do you
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think?
This is how will it play out?
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This is such a big question,
Gareth.
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I'm just trying to trying to
work out where to start because
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you know, we could, we could
talk for a couple of hours on
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this one.
I look, ease of application, I
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suppose is, is where we start,
which leads to volume of
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applications and and I kind of
rebel against that a little bit,
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to be honest.
Gareth, I, I hear a lot of
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commentary in my industry people
saying cover letters are dead.
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I'm on the other end of the
scale, you know, I think the
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drag and drop and post and
there's actually, you know, you
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may have heard on your audience
may have heard.
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I mean, there are AI tools that
you could pass your resume over
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to and it will do your job
applications for you.
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And just overnight while you're
sleeping, submit your
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application to 20 different
organisations, 200 different
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organisations, right?
There's, there's that kind of
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that technology on the candidate
side that, that, that is
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becoming more and more
prevalent.
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I, I think from my perspective,
I, I, I want to make a job
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application an effort, but I
want to do it in a fun way.
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So I, I, you know, there are
things that I have already
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introduced.
Gareth, if you were to apply for
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a position with Movember,
you'll, you'll pop in a Spotify
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link for your favourite song,
right?
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And when I'm looking over your
CVI can play your favourite
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song.
It's all embedded in my system
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and it's embedded in your
application.
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You've got optional questions
where you can talk about, you
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know, a, a travel destination
you want to go to.
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You can talk about your most
prized possession.
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You can talk about your family,
your pets, all of that.
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You know, you've got all of that
and you control the question and
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the answer you it's not a series
of questions that I ask you.
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So there's there's that element
of play in there.
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And, and I think you know that
that kind of experience is going
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to amplify the human experience
once again.
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And and it gives me an
environment for you to be able
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to again be authentic, because I
can start that conversation by
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saying, Hey, that was a tune
your selected drive like love
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Tina Turner as well.
Like, hey, did you ever get to
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see alive?
You know right, Like and then
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already your guards down.
Yeah, no, absolutely.
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And I think that kind of human
connection is always the best
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icebreaker for for any, whether
it's a a job application or just
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a conversation anywhere, finding
that common cause is, is the
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best way to do it.
And it feels like there is a
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general vibe at the moment that
that is kind of being lost as
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everyone figures out how the
least amount of work we can put
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in to try and beat this
technology.
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Yeah.
Might be so it's it's very, very
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good to hear even like your
suggestion of the Spotify track
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or you know, just to connect
like that, which again will make
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everything so much more human
and easy for everybody.
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So that was actually one of my
next questions I was going to
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ask you.
One of the misconceptions is
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that there isn't much of a human
touch during this, this, whether
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it's we call it the employment
pipeline at scale currently,
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beyond people thinking that
they're just a a data point or
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or a number in a system, what
would you say the other
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misconceptions that people might
have?
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Yeah, it's, it's interesting
because I think there is a big
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shift going on at the moment.
And I think, you know, on
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reflection, there was a time
where I think HR and and talent
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professionals were trying to
make the application process as
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simplified as possible.
Drag and drop fire it off low
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effort, do it on the train, do
it within 30 seconds, done and
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dusted.
Because people were trying to
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get more and more people into
the funnel.
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Because particularly in
industries like technology where
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it was almost impossible
possible a few years ago to find
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software engineers and beyond,
right.
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Like like within that techie
space, I think you know,
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everyone was focused on a talent
crunch and they tried to make
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things as simplified as humanly
possible.
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So what what that has been done
is a lot of that process and
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tech and that legacy of that
time is still in play and still
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exists.
But you know, I, I think trying
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to beat these systems is not the
way to go by firing off as many
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applications as possible.
And I know we'll probably talk
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about the selection process from
someone on on my side throughout
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00:14:46,560 --> 00:14:49,360
this conversation, but it's not
a numbers game.
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I, I think from my perspective
with Movember, I want to hear
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your story and I want to hear
why you want to come and do good
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with Movember, right?
Why do you want to work for
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00:14:59,280 --> 00:15:00,960
Movember and do good in the
world?
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00:15:00,960 --> 00:15:04,840
And people are sharing their
personal connections, whether
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that's I, I lost a close friend
to mental illness, so my father
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is undergoing treatment for
prostate cancer or you know
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00:15:13,840 --> 00:15:15,320
what?
Whatever it is, right?
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00:15:15,320 --> 00:15:18,080
Like we've all got a connection
to men's health in some way,
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00:15:18,080 --> 00:15:20,000
regardless of whether we're a
man or not.
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00:15:20,000 --> 00:15:21,720
So I want to hear those stories,
right?
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00:15:21,720 --> 00:15:23,600
I want to hear the why behind
the application.
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00:15:23,600 --> 00:15:25,720
So you need to be deliberate.
Yeah.
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00:15:25,720 --> 00:15:29,880
In your application, instead of
this, spray and pray.
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00:15:29,920 --> 00:15:31,520
Spray and pray.
Yeah, yeah, yeah.
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00:15:31,520 --> 00:15:35,880
Would you say that that I guess
that want from someone in your
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00:15:35,880 --> 00:15:39,280
position, is that common?
How much of that is born out of
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00:15:39,280 --> 00:15:41,320
maybe the size of the
organisation?
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00:15:41,640 --> 00:15:45,240
Like if you're in a gigantic
corporate, I can imagine it
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00:15:45,240 --> 00:15:48,400
would be very different than
something as worthy as Movember.
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00:15:49,040 --> 00:15:53,640
Look, I think if you were to
layer it up to your chief people
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00:15:53,640 --> 00:16:00,040
officer, to your C-Suite values,
purpose, impact, that's what
305
00:16:00,040 --> 00:16:03,080
they want.
I, I think when you get deeper,
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00:16:03,080 --> 00:16:06,640
particularly into the large
enterprise organisations, when
307
00:16:06,800 --> 00:16:09,880
you know, when you're talking
thousands and thousands of
308
00:16:09,880 --> 00:16:13,280
employees, 10s of thousands of
employees, as you go further
309
00:16:13,280 --> 00:16:16,040
down the layer, I think
naturally a lot of that
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00:16:16,040 --> 00:16:20,520
connection is lost.
So would, you know, a
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00:16:20,680 --> 00:16:24,080
recruitment team of 100 can, can
we hand on heart say that every
312
00:16:24,080 --> 00:16:26,360
single one of those hundred
people are connected to the
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00:16:26,360 --> 00:16:30,360
organisation strategy, have that
really strong focus on, on
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00:16:30,360 --> 00:16:33,800
values potentially, potentially
not right.
315
00:16:33,800 --> 00:16:36,600
Like, you know, there, there can
be a breakdown in that.
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00:16:36,600 --> 00:16:42,680
But I think at the heart of the
industry that that I'm in and I,
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00:16:42,760 --> 00:16:45,080
I, I mean, we get into this
field because we want to help
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people.
At the end of the day, we want
319
00:16:46,920 --> 00:16:49,040
to help people gain meaningful
employment.
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00:16:49,160 --> 00:16:51,880
And there's a buzz to that.
And when we do place people in
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00:16:51,880 --> 00:16:55,160
employment, we celebrate with
them, and that's why we do what
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00:16:55,160 --> 00:16:56,880
we do.
This ain't an easy job.
323
00:16:57,440 --> 00:16:59,800
Yeah, look.
Really not.
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00:17:00,000 --> 00:17:03,080
I hear that a lot.
You know, especially at the
325
00:17:03,080 --> 00:17:06,640
moment, like we've said, the
sheer scale of everything that
326
00:17:06,680 --> 00:17:10,720
that is how everything's
operating due to the the
327
00:17:10,720 --> 00:17:13,599
opportunity, whether it's
global, you know, you've got
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00:17:13,599 --> 00:17:17,160
people firing things off into
countries that they're not even
329
00:17:17,160 --> 00:17:19,520
in and just see what happens.
And I can imagine that really
330
00:17:19,520 --> 00:17:23,359
clogs up the system if it's not
utilised efficiently.
331
00:17:23,520 --> 00:17:26,599
But Speaking of utilising it
efficiently, how do those
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00:17:26,640 --> 00:17:30,560
applicant tracking systems and
even other AI tools Philtre
333
00:17:30,560 --> 00:17:34,320
candidates efficiently and
effectively to help you get the
334
00:17:34,320 --> 00:17:36,200
right type of person that you're
looking for, for the role?
335
00:17:36,360 --> 00:17:37,840
Yeah.
And this is a bit of a myth
336
00:17:37,840 --> 00:17:40,240
Buster for you here.
Yeah, yeah, yeah.
337
00:17:40,680 --> 00:17:45,040
Look, they're not ranked from
when you apply some that do a
338
00:17:45,040 --> 00:17:49,080
little bit of that, they'll kind
of do a bit of a skills match.
339
00:17:49,080 --> 00:17:53,640
There was this trend going on
that I didn't quite get into
340
00:17:53,680 --> 00:17:55,640
when it came to skills based
hiring.
341
00:17:55,640 --> 00:17:58,920
I think it's kind of it's dying
a bit of a slow death to be
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00:17:58,920 --> 00:18:01,680
honest, but it was a big buzz in
our industry and I never quite
343
00:18:01,680 --> 00:18:03,400
got it.
And that was sort of skills
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00:18:03,400 --> 00:18:07,720
matching from your CV to skills
within the organisation and and
345
00:18:07,720 --> 00:18:09,840
matching it that way.
There's, there's a lot more to
346
00:18:09,840 --> 00:18:13,080
it by the way, but just just
simplifying it right, Just.
347
00:18:13,080 --> 00:18:16,480
On that, would you say that
skills based matching if if
348
00:18:16,480 --> 00:18:20,080
someone's taking the approach of
say finding the keywords in the
349
00:18:20,080 --> 00:18:24,600
job description and then weaving
those into their CV to make
350
00:18:24,600 --> 00:18:28,480
themselves the perfect candidate
is that doesn't that approach
351
00:18:28,720 --> 00:18:31,000
doesn't?
Work doesn't work now, now, now
352
00:18:31,000 --> 00:18:34,680
look and and I'll, I'll, I'll do
a pro skills argument.
353
00:18:34,680 --> 00:18:38,200
Not that I am pro skills hiring.
I've I'm, I'm kind of in the
354
00:18:38,200 --> 00:18:39,760
middle.
It's like if it works for your
355
00:18:39,760 --> 00:18:41,680
organisation, it works for your
organisation, right?
356
00:18:41,680 --> 00:18:44,720
But you know that there needs to
be an assessment for that to be
357
00:18:44,720 --> 00:18:46,720
the reality, right?
Just someone saying that they've
358
00:18:46,720 --> 00:18:49,000
got a skill.
So what?
359
00:18:49,560 --> 00:18:51,880
Yeah, yeah, of course.
Right, like so, and, and then
360
00:18:51,880 --> 00:18:54,880
there, there are platforms that
that do that, you know, there,
361
00:18:54,880 --> 00:18:57,800
there are platforms that
specialised in candidate
362
00:18:57,800 --> 00:19:00,280
assessment and there are a lot
of them, whether it's, you know,
363
00:19:00,280 --> 00:19:02,560
even back in the day with
psychometrics, right?
364
00:19:02,560 --> 00:19:05,800
Which, which still exist, but,
or there's competency based
365
00:19:05,800 --> 00:19:09,840
skills platforms where it will
match your skills to, to roles
366
00:19:09,840 --> 00:19:13,160
and it will rank you because
it's, you know, it's, it's, it's
367
00:19:13,160 --> 00:19:15,160
a test, right?
It's got a result, it's got an
368
00:19:15,160 --> 00:19:17,280
outcome.
It will rank your percentage
369
00:19:17,280 --> 00:19:20,600
based on someone else and then
the ATS will have you sitting
370
00:19:20,600 --> 00:19:24,920
higher than another candidate.
But that's past the application
371
00:19:24,920 --> 00:19:27,600
stage.
What, what I have at application
372
00:19:27,600 --> 00:19:30,920
stage in terms of AI is that
I've, I've got Copilot just
373
00:19:30,920 --> 00:19:35,640
basically summarising your CV
into a short and succinct bullet
374
00:19:35,640 --> 00:19:37,520
point, bullet point, bullet
point, bullet point.
375
00:19:37,840 --> 00:19:40,800
So when I'm looking through CVS
and I get hundreds of them for
376
00:19:40,800 --> 00:19:44,480
each role, I'm able to look at a
really short, sharp, snappy
377
00:19:44,480 --> 00:19:48,560
summary of your experience.
And then for me, I can dive in.
378
00:19:48,560 --> 00:19:51,760
I can play your Spotify song, I
can learn about what kind of
379
00:19:51,760 --> 00:19:55,640
pizza topping you like.
And I can and, and and I can
380
00:19:55,640 --> 00:19:58,880
then, you know, I can read your
CV from that point, right?
381
00:19:58,880 --> 00:20:01,520
Yeah, that's there.
But, but where the power is for
382
00:20:01,520 --> 00:20:06,800
me is I have a free text, call
it a cover letter, a free text
383
00:20:06,800 --> 00:20:10,680
where people tell me about the
why and, and why they want to
384
00:20:10,680 --> 00:20:12,600
come and do this work.
Regardless of what you're doing
385
00:20:12,600 --> 00:20:16,680
at Movember, you are making an
impact for Men's Health and for
386
00:20:16,680 --> 00:20:19,280
us.
All of us at November, we, we,
387
00:20:19,280 --> 00:20:23,640
we want to know because you,
again, it ain't an easy job like
388
00:20:23,640 --> 00:20:25,480
we're dealing with, with heavy
topics.
389
00:20:25,480 --> 00:20:28,440
We have a lot of fun and we've
got a really great culture and
390
00:20:28,440 --> 00:20:30,120
we make sure we've got that
balance.
391
00:20:30,120 --> 00:20:33,520
But you know, you, you need to
have that want to make a
392
00:20:33,520 --> 00:20:36,720
difference and a want to change
the world we work in.
393
00:20:36,720 --> 00:20:39,000
I work in five different time
zones, right?
394
00:20:39,000 --> 00:20:43,240
Like it's, it's long days and,
you know, every day I'm dealing
395
00:20:43,240 --> 00:20:49,240
with topics like cancer, mental
health, you know, suicides, that
396
00:20:49,240 --> 00:20:52,920
these are heavy things we talk
about that in a really real way.
397
00:20:52,920 --> 00:20:56,160
And, and we're very edgy in the
way we communicate externally.
398
00:20:56,160 --> 00:20:59,320
But you know, I'd, I have to
read people's stories around
399
00:20:59,320 --> 00:21:04,960
those topics every day.
So I I need to be really
400
00:21:04,960 --> 00:21:10,000
dedicated to the cause and
making that change, otherwise
401
00:21:10,000 --> 00:21:13,480
that that that would be a really
hard environment to work in, I
402
00:21:13,480 --> 00:21:15,200
feel.
Yeah, no, absolutely.
403
00:21:15,200 --> 00:21:18,720
And I can imagine that as you
touch on a few minutes ago, just
404
00:21:18,720 --> 00:21:22,680
that cover letter explaining why
you've got that interest in that
405
00:21:22,680 --> 00:21:25,440
particular role or that
particular organisation.
406
00:21:25,440 --> 00:21:28,560
Like you know, me personally,
I'm quite a big believer in the
407
00:21:28,560 --> 00:21:30,280
value of a cover letter.
I don't know if it's because
408
00:21:30,280 --> 00:21:34,160
I'm, I'm a bit older or, or
whatever, but I think that when
409
00:21:34,160 --> 00:21:37,480
you look at the the application
process, whatever it is, that's
410
00:21:37,480 --> 00:21:40,680
where you've kind of got the
space to actually tell a bit of
411
00:21:40,680 --> 00:21:44,000
a story without, you know,
trying to cram whatever you want
412
00:21:44,000 --> 00:21:46,360
into your CV or your or your
resume.
413
00:21:46,640 --> 00:21:49,200
So that's interesting to hear
that that you've got Co pilot
414
00:21:49,200 --> 00:21:52,720
kind of summarising it, you
know, putting the soundtrack on
415
00:21:53,680 --> 00:21:56,160
and and then that's how it's
actually presented to you,
416
00:21:56,160 --> 00:22:02,040
because I think that one of the
perceptions out in the market at
417
00:22:02,040 --> 00:22:06,400
the moment is that it's almost
this AI versus AI arms race.
418
00:22:07,600 --> 00:22:11,720
It's like this huge blockage
from either end or everybody's
419
00:22:11,720 --> 00:22:14,240
end.
And, you know, I remember kind
420
00:22:14,240 --> 00:22:17,920
of reading about how you've got
people using AI to write their
421
00:22:17,920 --> 00:22:21,520
applications to try and be an AI
system, which will, will, will
422
00:22:21,520 --> 00:22:24,560
use AI to judge this person.
And so it's kind of this
423
00:22:24,600 --> 00:22:27,720
ecosystem, the, or the
perception of it is, is it's
424
00:22:27,720 --> 00:22:31,600
just AI tools trying to fight
against each other.
425
00:22:31,760 --> 00:22:34,680
So it's really nice to hear
there is actually a human in
426
00:22:34,680 --> 00:22:36,840
there and how these things are
being used.
427
00:22:37,800 --> 00:22:40,880
For sure, yeah.
But that said, there's a bit of
428
00:22:40,880 --> 00:22:45,920
talk at the moment around these
kind of ethical implications of
429
00:22:46,280 --> 00:22:50,480
AI screening, you know,
regarding potential biases that
430
00:22:50,480 --> 00:22:52,600
might disadvantage certain
groups.
431
00:22:53,000 --> 00:22:55,040
Firstly, is this perception
real?
432
00:22:55,080 --> 00:22:57,440
And if so, how are these
mitigated?
433
00:22:57,760 --> 00:22:59,720
For sure.
And and I'll give you a live
434
00:22:59,720 --> 00:23:01,920
example.
I mean, I've, I've introduced an
435
00:23:01,920 --> 00:23:04,560
an AI agent, which is a bit of a
mini me.
436
00:23:04,560 --> 00:23:09,400
His name is Joel and, and he,
he, he will phone screen you.
437
00:23:09,400 --> 00:23:12,280
It's, it's a genetic AI and
he'll have a conversation with
438
00:23:12,280 --> 00:23:16,360
you for 20 to 30 minutes and he
will probe and you'll be able to
439
00:23:16,360 --> 00:23:18,720
ask him questions.
He'll ask you questions.
440
00:23:18,720 --> 00:23:22,360
And it, it is pretty amazing
technology right now.
441
00:23:22,360 --> 00:23:24,120
Is that ethical?
I say yes.
442
00:23:24,640 --> 00:23:27,440
The reason being, and there are
a number of reasons and, and
443
00:23:27,440 --> 00:23:29,360
that there are a number of
reasons why I've introduced
444
00:23:29,360 --> 00:23:31,800
this.
So we're we're talking about the
445
00:23:31,800 --> 00:23:35,440
application process earlier and
hyper personalising that and
446
00:23:35,440 --> 00:23:38,600
people sharing their connection
to the work that we do at
447
00:23:38,600 --> 00:23:42,800
Movember 203, hundred of them
come through the funnel.
448
00:23:43,160 --> 00:23:46,520
I'm a human being that can
probably only speak to for 20
449
00:23:46,520 --> 00:23:50,720
minutes, 8 to 10 of them a day.
And then I've got everything
450
00:23:50,720 --> 00:23:52,800
else going on.
You know, that's, that's, that's
451
00:23:52,800 --> 00:23:55,760
not my only job, right?
Like I look after talent and
452
00:23:55,760 --> 00:23:58,160
people experience.
So it's, you know, end to end
453
00:23:58,560 --> 00:24:02,680
employee life cycle.
What this does is I can then
454
00:24:02,680 --> 00:24:07,760
have everyone and give everyone
the opportunity, if you've
455
00:24:07,760 --> 00:24:11,080
applied for a role with
November, to have that
456
00:24:11,080 --> 00:24:15,280
opportunity to put your best
foot forward and to go beyond
457
00:24:15,280 --> 00:24:21,480
the, the CV and demonstrate your
capabilities, your potential,
458
00:24:21,560 --> 00:24:23,800
your skills.
Again, you know, I mean, they,
459
00:24:23,800 --> 00:24:25,880
they come into play.
I don't, you know, skills based
460
00:24:25,880 --> 00:24:28,440
hirings are another scenario,
but but you know, being able to
461
00:24:28,440 --> 00:24:30,800
demonstrate your experience,
your capabilities, your future
462
00:24:30,800 --> 00:24:33,960
potential, what you're looking
for, your motivations, and to be
463
00:24:33,960 --> 00:24:36,520
able to do that in a, in a
conversational manner.
464
00:24:37,360 --> 00:24:41,120
I think that is ethical because
I think it does remove bias
465
00:24:41,120 --> 00:24:45,240
because if I can only select 8
to 10 people and I'm not relying
466
00:24:45,240 --> 00:24:49,280
on a tool to rank them because I
don't do that assessment and I
467
00:24:49,280 --> 00:24:52,400
don't do skills based hiring,
that there are going to be
468
00:24:52,400 --> 00:24:55,160
biases at played.
I mean human beings.
469
00:24:55,160 --> 00:24:58,120
So we have biases whether we
know it or not.
470
00:24:58,120 --> 00:24:59,880
And you know, unconscious bias,
right?
471
00:24:59,880 --> 00:25:02,720
Like, I mean, there could be,
you know, someone bullied me at
472
00:25:02,720 --> 00:25:05,760
high school and you know, you
know, they've got.
473
00:25:06,000 --> 00:25:08,440
Got a name?
Yeah, same name, right?
474
00:25:08,440 --> 00:25:09,960
Like it can be as simple as
that.
475
00:25:09,960 --> 00:25:12,560
And even though I'm saying to
myself, well, forget about it,
476
00:25:12,560 --> 00:25:14,800
there's something in the back of
my head that that is still
477
00:25:14,800 --> 00:25:16,600
niggling away even though I
don't know it.
478
00:25:16,960 --> 00:25:19,200
Yeah, yeah.
And I think just on that point
479
00:25:19,200 --> 00:25:24,360
around, you know, the agentic
tools, I have seen a bit of
480
00:25:24,360 --> 00:25:28,400
discourse where someone might
have have said I had to go to a
481
00:25:28,840 --> 00:25:32,120
job interview and it was an AI
kind of interviewing me.
482
00:25:32,120 --> 00:25:35,080
And it they've taken it as quite
an insult that they're not
483
00:25:35,080 --> 00:25:39,040
getting to speak to a person.
But I can imagine that, as you
484
00:25:39,040 --> 00:25:43,400
said, you're so overwhelmed by
not only this one position that
485
00:25:43,400 --> 00:25:46,280
might be in question, trying to
feel with the right person for
486
00:25:46,280 --> 00:25:47,360
that and everything, anything
else.
487
00:25:47,480 --> 00:25:50,600
These tools of course, have been
implemented for a reason.
488
00:25:50,720 --> 00:25:54,480
So it's quite interesting to see
that there is a, a, a real
489
00:25:54,920 --> 00:25:58,840
necessity to using those tools
to make sure that everyone that
490
00:25:58,840 --> 00:26:02,720
wants it can have the same shot.
Because it becomes fairer, yeah,
491
00:26:02,720 --> 00:26:03,920
in my view.
Now.
492
00:26:03,920 --> 00:26:07,400
Now we all know that there are
instances where AI can be
493
00:26:07,400 --> 00:26:09,640
biassed as well.
And there's the statistics to
494
00:26:09,640 --> 00:26:13,680
say AI favours female
candidates, for example.
495
00:26:13,680 --> 00:26:16,200
And they've, they've, they've
tested that and you know that
496
00:26:16,200 --> 00:26:18,800
that's there and there's a
slight favouritism towards
497
00:26:18,800 --> 00:26:21,720
female candidates.
But I think the key to this is
498
00:26:21,720 --> 00:26:23,960
contextualising it.
Like I've, I've got to give the
499
00:26:23,960 --> 00:26:26,480
context as to why I am doing
this.
500
00:26:26,800 --> 00:26:30,200
That's, that's I, so people
know, I, I want more people to
501
00:26:30,200 --> 00:26:33,520
have an opportunity to, I, I
want you to have a shot at this,
502
00:26:33,520 --> 00:26:35,480
right?
Like, you know, I want everyone
503
00:26:35,480 --> 00:26:37,280
to be able to put their best
foot forward.
504
00:26:38,440 --> 00:26:41,520
That's that's A, but then B,
it's give people.
505
00:26:41,520 --> 00:26:43,440
And this is where the ethics
come into it.
506
00:26:43,760 --> 00:26:45,840
Everyone's on a different
journey with AI.
507
00:26:45,840 --> 00:26:47,520
And then we talk diversity,
right?
508
00:26:47,520 --> 00:26:51,000
We have people, neuro diverse
that come through that pipeline.
509
00:26:51,000 --> 00:26:54,240
You need to give people the
opportunity not only to opt out,
510
00:26:54,240 --> 00:26:56,320
but also to opt in.
It's an opt in, opt out.
511
00:26:56,320 --> 00:26:59,200
Which would you choose?
You know, do you want to talk to
512
00:26:59,200 --> 00:27:01,840
me on the phone?
Do you want to talk to me on
513
00:27:01,840 --> 00:27:04,920
Zoom?
Do you want to go through the AI
514
00:27:05,040 --> 00:27:08,720
tool?
Now what we're finding, as you
515
00:27:08,720 --> 00:27:10,680
know, we've been rolling this
out and we've been rolling it
516
00:27:10,680 --> 00:27:13,200
out for our volume higher.
That's where we've kind of
517
00:27:13,200 --> 00:27:16,080
started at that, you know,
seasonal staff that come in to
518
00:27:16,080 --> 00:27:19,000
support Movember through
throughout, you know, the
519
00:27:19,000 --> 00:27:22,320
campaign, 97% of people opted
into the AII.
520
00:27:22,320 --> 00:27:24,200
Don't know whether to get
offended by that because I'm a
521
00:27:24,200 --> 00:27:30,080
pretty nice guy, but 97 actually
posed to to speak to Joel over
522
00:27:30,080 --> 00:27:31,840
me.
And I think, OK, there are a few
523
00:27:31,840 --> 00:27:34,560
elements that play with that.
I think a lot of it is curiosity
524
00:27:34,560 --> 00:27:37,520
because all of this technology
that is advancing so much faster
525
00:27:37,520 --> 00:27:40,920
than our brains can keep up with
is pretty fascinating for the
526
00:27:40,920 --> 00:27:43,200
general public.
I know I probably would have
527
00:27:43,200 --> 00:27:46,400
chosen the AI tool because I'll
be like, Oh my God, how does
528
00:27:46,400 --> 00:27:49,560
this thing work right?
So that that may plateau out,
529
00:27:49,560 --> 00:27:52,480
like we may see less and less of
that as you know, people
530
00:27:52,760 --> 00:27:54,800
actually experience it more
often.
531
00:27:54,800 --> 00:27:57,560
But the feedback has been really
positive as well and really
532
00:27:57,560 --> 00:28:00,680
surprising that they can
actually have a conversation and
533
00:28:00,680 --> 00:28:04,160
that they, you know, can do it
in their own time again, can do
534
00:28:04,160 --> 00:28:06,520
it in an environment that they
feel safe.
535
00:28:06,520 --> 00:28:09,520
They can do it on the beach if
they want to, right?
536
00:28:09,520 --> 00:28:13,440
So you know you're you're able
to bring your authentic self in
537
00:28:13,440 --> 00:28:16,280
an environment that brings out
your best self.
538
00:28:16,640 --> 00:28:18,600
Yeah, that's that's such a good
point.
539
00:28:18,600 --> 00:28:22,920
And I think that contradicts so
much of the chatter out there at
540
00:28:22,920 --> 00:28:25,120
the moment around what these
tools are.
541
00:28:25,360 --> 00:28:29,000
If there is a general perception
that they are not dehumanising,
542
00:28:29,000 --> 00:28:31,840
but kind of cold.
And it feels like the actual
543
00:28:31,840 --> 00:28:36,680
intention behind them is to make
sure that a, everybody has the,
544
00:28:36,880 --> 00:28:40,160
the equal footing and
opportunity to, to kind of sell
545
00:28:40,160 --> 00:28:41,720
themselves and get into the
role.
546
00:28:41,920 --> 00:28:44,520
But then as you, as you also
said, they're giving people
547
00:28:44,520 --> 00:28:48,440
different avenues that they
might embrace that work the best
548
00:28:48,440 --> 00:28:50,640
for them.
Because as you've alluded to,
549
00:28:50,640 --> 00:28:53,760
some people might deal best
speaking to a person, others
550
00:28:53,760 --> 00:28:56,640
might not like that pressure.
They might want to be in their
551
00:28:56,640 --> 00:28:59,920
house where they're comfortable.
So it is great to hear that
552
00:28:59,920 --> 00:29:04,280
behind and the mystery and and
so much of the, I guess the
553
00:29:04,280 --> 00:29:07,040
frustration that there is with
this kind of tools at the
554
00:29:07,040 --> 00:29:12,840
moment, the actual output is to
give humans the best shot to be
555
00:29:12,920 --> 00:29:14,800
more human.
Yeah, we've got to open our
556
00:29:14,800 --> 00:29:19,600
minds with AI because I think so
much of the misconception is
557
00:29:19,600 --> 00:29:23,280
that AI is a productivity tool
and it's there to take people's
558
00:29:23,280 --> 00:29:27,280
jobs or to do people's jobs
better or it's to save time,
559
00:29:27,280 --> 00:29:31,680
it's to save money, all of that.
When we think AI in the
560
00:29:31,680 --> 00:29:34,800
workplace, that's where our mind
goes.
561
00:29:35,000 --> 00:29:38,240
But but it's actually not that
that's that's not the primary
562
00:29:38,240 --> 00:29:40,320
purpose, right?
It is, you know, it is going to
563
00:29:40,320 --> 00:29:42,600
going to be a result of using
AI, right?
564
00:29:42,600 --> 00:29:46,040
You are going to see that, but I
don't think that's the intent.
565
00:29:46,360 --> 00:29:48,720
I think yeah.
And, and again, on that point,
566
00:29:48,720 --> 00:29:51,360
it's almost how you implement it
because, you know, we've all
567
00:29:51,360 --> 00:29:54,920
seen loads of people that might
be like, oh, I, I use this tool
568
00:29:54,920 --> 00:29:58,840
and it will read my emails or,
you know, just like these low
569
00:29:58,840 --> 00:30:02,360
level tasks, which you could
draw the connection there That
570
00:30:02,360 --> 00:30:06,440
I, that, that is an efficiency
thing, but it's almost replacing
571
00:30:06,440 --> 00:30:09,640
part of you as the human.
Whereas what you've said is if
572
00:30:09,640 --> 00:30:13,160
you use it to kind of augment
what you're capable of as a
573
00:30:13,160 --> 00:30:16,440
human, you can kind of become a
a superhuman version of
574
00:30:16,440 --> 00:30:20,800
yourself, we'll say now.
Yeah, it's, it's like what's
575
00:30:20,800 --> 00:30:24,240
what's the, what's the film, the
substance, right.
576
00:30:24,240 --> 00:30:26,560
You know, I've, I've, I've
injected that and I've had my
577
00:30:26,560 --> 00:30:28,320
little AI guy grow out of my
back.
578
00:30:28,360 --> 00:30:31,480
Yeah, yeah, I have to try and
find what this job looks.
579
00:30:31,480 --> 00:30:32,720
Like version of me?
Yeah.
580
00:30:33,320 --> 00:30:35,440
So it's it's yeah, it is, it is
interesting.
581
00:30:35,480 --> 00:30:38,200
Gonna be interesting how that
all shakes out because it's this
582
00:30:38,480 --> 00:30:42,560
quite a divergent at the moment
around as you said, some people
583
00:30:42,560 --> 00:30:46,080
see it as it's here to replace
jobs, do the task.
584
00:30:46,080 --> 00:30:49,000
And I guess if you can only
imagine it being used for that
585
00:30:49,000 --> 00:30:51,040
low hanging fruit, that could be
a thing.
586
00:30:51,040 --> 00:30:54,000
But if you look at it, what kind
of opportunities and
587
00:30:54,000 --> 00:30:57,120
augmentation processes it might
bring that, you know, it's a
588
00:30:57,200 --> 00:30:59,960
entirely different kettle of
fish, as they say.
589
00:31:00,480 --> 00:31:04,120
And The thing is right, like if
you implement AI without a focus
590
00:31:04,120 --> 00:31:07,920
on amplifying human experience
on what sits on either side of
591
00:31:07,920 --> 00:31:11,280
that IAI.
So for me, you know, this, this
592
00:31:11,280 --> 00:31:15,840
syngentic AI and Joel and this
interview, phone interview tool,
593
00:31:16,440 --> 00:31:20,200
if I hadn't elevated the human
experience at the front end of
594
00:31:20,200 --> 00:31:22,640
that when you apply for a role
and all of the things that we
595
00:31:22,640 --> 00:31:25,000
talk about with Spotify,
etcetera that we've already
596
00:31:25,000 --> 00:31:27,840
covered off, right.
And then if I don't elevate the
597
00:31:27,840 --> 00:31:33,000
human experience of the human to
human interview, then that
598
00:31:33,000 --> 00:31:36,240
fails.
You know, you've, you, you can't
599
00:31:36,240 --> 00:31:42,040
just lift and shift a tool like
that into an existing historical
600
00:31:42,040 --> 00:31:45,720
recruitment process.
There has to be a, a, a full
601
00:31:45,720 --> 00:31:50,560
strategy of where am I going to
lift the human skills and where
602
00:31:50,560 --> 00:31:53,520
am I going to implement AI And
it has to balance.
603
00:31:53,520 --> 00:31:56,400
Yeah, yeah, totally.
It kind of went on to a question
604
00:31:56,400 --> 00:31:59,160
I wanted to ask you, which was
whether the, you know, there's a
605
00:31:59,160 --> 00:32:02,440
perception that the human touch
in recruitment is, is being
606
00:32:02,440 --> 00:32:07,760
lost, But is it a case that it's
simply shifting where the human
607
00:32:07,760 --> 00:32:09,560
rights occurs in the hiring
funnel?
608
00:32:09,840 --> 00:32:11,840
And I think that you've alluded
to it there.
609
00:32:11,840 --> 00:32:16,600
That's that's kind of addressing
one of these misconceptions out
610
00:32:16,600 --> 00:32:20,000
there at the moment that you're
just leaving it all up to to
611
00:32:20,000 --> 00:32:21,720
robots to kind of manage
everything.
612
00:32:21,960 --> 00:32:25,040
What would you say after
explaining kind of your process,
613
00:32:25,040 --> 00:32:27,280
what would you say in your
opinion, are some actionable
614
00:32:27,280 --> 00:32:31,400
strategies that either
candidates or employers can use
615
00:32:31,400 --> 00:32:34,640
to cut out a lot of this noise
and increase their chances of
616
00:32:34,640 --> 00:32:36,680
finding the right match for the
right role?
617
00:32:36,800 --> 00:32:40,600
Yeah, it's oh gosh, there are so
many right.
618
00:32:40,600 --> 00:32:42,400
Like where do we start?
Do we want to start on on the
619
00:32:42,400 --> 00:32:44,240
candidate side?
How to breakthrough Yeah, good
620
00:32:44,240 --> 00:32:46,560
for the noise.
I I think personalise
621
00:32:46,560 --> 00:32:48,400
everything.
If you're if you're a candidate
622
00:32:48,400 --> 00:32:52,800
listening and identify the
employers that you want to work
623
00:32:52,800 --> 00:32:56,960
for have a really good and and
you will never not find the
624
00:32:56,960 --> 00:33:00,400
values of an organisation or a
purpose without a very quick
625
00:33:00,400 --> 00:33:01,240
search.
Plug it in.
626
00:33:01,240 --> 00:33:03,640
You know, there we go.
You can plug it into ChatGPT 5
627
00:33:03,640 --> 00:33:05,920
and you'll find it right.
You know, I think the hyper
628
00:33:05,920 --> 00:33:09,080
personalisation, regardless of
whether that process is hyper
629
00:33:09,080 --> 00:33:12,880
personalised yet, get it in your
cover letter and tailor your CV
630
00:33:12,880 --> 00:33:16,000
for that role, right?
The more personal you are.
631
00:33:16,000 --> 00:33:18,720
And let's break down that
misconception right now.
632
00:33:18,720 --> 00:33:22,160
The firing off 200 applications
using a tool that's just going
633
00:33:22,160 --> 00:33:24,680
to apply for everything.
It's not going to work, and
634
00:33:24,680 --> 00:33:27,240
you're more than likely going to
get ruled out that way than you
635
00:33:27,240 --> 00:33:30,200
are if you spend a couple of
minutes personalising your your
636
00:33:30,200 --> 00:33:32,480
application.
And I think just before we go
637
00:33:32,480 --> 00:33:35,960
back to say what strategies for
the company, like so much of
638
00:33:35,960 --> 00:33:40,000
what I've seen and and read and
been hurt, is someone saying
639
00:33:40,000 --> 00:33:43,720
I've fired off 5000 applications
using one of these tools.
640
00:33:43,720 --> 00:33:47,320
I don't personalise anything and
I can't get any callbacks or any
641
00:33:47,320 --> 00:33:49,200
interviews.
Yeah.
642
00:33:49,200 --> 00:33:52,440
And then, you know, it becomes
this negative feedback loop
643
00:33:52,440 --> 00:33:56,240
where you're not getting any
response to say 5000.
644
00:33:56,240 --> 00:34:00,160
You may feel it's even worth
less effort moving forward when
645
00:34:00,160 --> 00:34:03,400
the solution genuinely try and
connect with the person on the
646
00:34:03,400 --> 00:34:06,560
other end of these things as a
human and as an, you know,
647
00:34:06,560 --> 00:34:09,199
representative of a of a
business or an organisation,
648
00:34:09,199 --> 00:34:10,719
that's where the effort should
be.
649
00:34:10,840 --> 00:34:13,719
And it can be silly, right?
Like it doesn't need to be, you
650
00:34:13,719 --> 00:34:15,639
know, I believe in couple
letters as do you.
651
00:34:15,639 --> 00:34:18,639
We've, we've kind of landed on
that as a collective, right?
652
00:34:18,639 --> 00:34:23,040
But I, I, I think, you know, I
love ACV where someone wax on a,
653
00:34:24,080 --> 00:34:25,960
you know, a picture of
themselves wearing a fake
654
00:34:25,960 --> 00:34:27,880
moustache.
I get them all the time, right?
655
00:34:27,880 --> 00:34:30,679
And, and, and they'll be really,
really crazy and quirky.
656
00:34:30,679 --> 00:34:33,560
And it's that sense of humour
coming through that I know all
657
00:34:33,560 --> 00:34:35,600
this person, they've taken a
little bit of effort there and
658
00:34:35,600 --> 00:34:37,480
they don't take themselves too
seriously.
659
00:34:37,480 --> 00:34:40,880
And they understand that we're,
you know, edgy and we're real.
660
00:34:40,920 --> 00:34:43,840
And that's how we operate.
And one of our values is fun.
661
00:34:43,840 --> 00:34:46,480
And they're having fun.
And, you know, it can just be
662
00:34:46,480 --> 00:34:49,760
little things like that.
Yeah, just to totally show that
663
00:34:49,760 --> 00:34:51,880
you get the organisation, you
get it.
664
00:34:52,280 --> 00:34:56,320
Yeah, Yeah.
But what could say companies or
665
00:34:56,400 --> 00:34:59,200
people involved in hiring, like
what strategies could they
666
00:34:59,200 --> 00:35:02,080
employ to optimise everything?
Like if they're potentially
667
00:35:02,080 --> 00:35:05,120
feeling burnt out by this scale,
what tactics could they employ
668
00:35:05,120 --> 00:35:09,400
to maybe help themselves sift
through that scale?
669
00:35:09,520 --> 00:35:12,840
Look, we are a bloody
conservative industry, mate.
670
00:35:13,080 --> 00:35:17,480
Like any talent leader, any HR
leader out there, we've got to
671
00:35:17,480 --> 00:35:20,760
get our people embracing
creativity and we have to do it
672
00:35:20,760 --> 00:35:23,800
now, OK?
Because otherwise, you know,
673
00:35:24,200 --> 00:35:27,320
these machines can take over,
right?
674
00:35:27,320 --> 00:35:30,120
They can, right.
So, so you, you need to be
675
00:35:30,120 --> 00:35:32,640
creative in terms of what you're
doing or you're going to fall
676
00:35:32,640 --> 00:35:35,080
behind.
I think at the moment it starts
677
00:35:35,080 --> 00:35:36,960
small.
And I actually learned this
678
00:35:36,960 --> 00:35:38,640
yesterday.
I was in an Amazon workshop on
679
00:35:38,640 --> 00:35:40,360
AI.
That was a, you know, a
680
00:35:40,440 --> 00:35:43,160
basically AI think group that
we've got at Movember that
681
00:35:43,160 --> 00:35:46,680
involves CEO, chief marketing
officer, and there's about 10 of
682
00:35:46,680 --> 00:35:49,040
us in there.
And, and it was really that
683
00:35:49,200 --> 00:35:53,080
start, start small and scale
fast, you know, and, and, and
684
00:35:53,080 --> 00:35:55,760
that's really stuck with me from
yesterday and something that
685
00:35:55,760 --> 00:35:57,480
I've been thinking about a lot
today.
686
00:35:57,480 --> 00:36:00,200
And, and, and I think that's
what I've, what I've done, you
687
00:36:00,200 --> 00:36:03,400
know, with things like agentic
AI with, with how I've hyper
688
00:36:03,400 --> 00:36:07,520
personalised the application
experience, there's so much more
689
00:36:07,520 --> 00:36:10,840
I can do with it and I need to
scale that quickly or I'm going
690
00:36:10,840 --> 00:36:13,360
to fall behind.
So I think what we're going to
691
00:36:13,360 --> 00:36:17,320
see in the future, if
organisations don't catch up to
692
00:36:17,320 --> 00:36:20,080
this and start doing that and
start being more creative and
693
00:36:20,080 --> 00:36:23,480
thinking differently of what
that experience can look like
694
00:36:23,480 --> 00:36:26,640
for applications, they're going
to lose because we will get
695
00:36:26,640 --> 00:36:30,680
another talent crunch.
And you'll find that talent and
696
00:36:30,680 --> 00:36:33,680
good talent will be going to the
organisations that are doing
697
00:36:33,680 --> 00:36:36,360
that really well.
And I'm hoping Movember will be
698
00:36:36,360 --> 00:36:38,000
probably going to be one of
those, right.
699
00:36:38,280 --> 00:36:42,920
If, if, if you don't catch up
now, if, if you're still using
700
00:36:42,920 --> 00:36:46,880
these outdated technologies,
these outdated systems, if
701
00:36:46,880 --> 00:36:50,480
you're still ghosting
candidates, if you're still just
702
00:36:50,480 --> 00:36:54,600
treating this as a numbers game,
you're going to lose because
703
00:36:54,640 --> 00:36:56,280
this is advancing way too
quickly.
704
00:36:56,280 --> 00:37:00,120
If you're not lifting and
elevating the human side of what
705
00:37:00,120 --> 00:37:03,400
we do in recruitment and
selection, even 12 months from
706
00:37:03,400 --> 00:37:05,080
now, things are going to look
very differently.
707
00:37:05,160 --> 00:37:08,600
That that's a great segue into
into my next question, which was
708
00:37:08,600 --> 00:37:11,880
going to be looking forward.
What might the, you know, the
709
00:37:11,880 --> 00:37:15,280
candidate search or the job
search of the future potentially
710
00:37:15,280 --> 00:37:18,040
look like in your opinion?
I think it's it's going to be
711
00:37:18,040 --> 00:37:22,560
very deep consultative like I
think that connection is going
712
00:37:22,560 --> 00:37:25,200
to be even stronger.
I think roles like mine are
713
00:37:25,200 --> 00:37:28,520
going to become more of a career
and life coach, in all honesty.
714
00:37:29,040 --> 00:37:32,160
OK.
I think we we will get to the
715
00:37:32,160 --> 00:37:35,640
point the true value and where
what's keeping me up at night.
716
00:37:35,640 --> 00:37:38,040
And I'll tell you what's keeping
me up at night is that, you
717
00:37:38,040 --> 00:37:41,320
know, people are sharing those
really powerful stories with me.
718
00:37:41,320 --> 00:37:43,760
They're putting effort into
their applications.
719
00:37:44,040 --> 00:37:46,680
I'm inviting more and more
people into the funnel to
720
00:37:46,680 --> 00:37:49,640
experience Movember and to put
their best foot forward.
721
00:37:50,400 --> 00:37:52,160
And then what?
Right.
722
00:37:52,760 --> 00:37:56,960
It's the end, then what?
So really if I had the time, if
723
00:37:56,960 --> 00:38:00,440
I can automate as much as I can
in that front end and spend as
724
00:38:00,440 --> 00:38:03,240
much time as I can in the and
then what?
725
00:38:04,120 --> 00:38:07,040
I think that's where the power
is going to be because I think
726
00:38:07,040 --> 00:38:09,880
that expectation is going to
become greater and greater.
727
00:38:09,880 --> 00:38:13,520
It's not just a quick, short,
sharp feedback.
728
00:38:13,520 --> 00:38:17,520
Sorry you've been unsuccessful,
whatever reasons even and a lot
729
00:38:17,520 --> 00:38:20,000
of people don't even give a lot
of those reasons, right?
730
00:38:20,000 --> 00:38:22,360
And in fact, the vast majority
of applications that come
731
00:38:22,360 --> 00:38:25,920
through will get a thanks, but
no thanks in a, in a much nicer
732
00:38:25,920 --> 00:38:29,360
way, obviously, but you know,
you know, so, so where does that
733
00:38:29,360 --> 00:38:31,760
put us, right?
If we're, if we're doing all of
734
00:38:31,760 --> 00:38:35,040
that at the front end through
the process, if we're relying on
735
00:38:35,040 --> 00:38:37,720
automation, people are putting
all of that effort in.
736
00:38:37,800 --> 00:38:39,840
What does that feedback loop
look like?
737
00:38:41,400 --> 00:38:43,760
You know, we can't go like we
all know we can't ghost and
738
00:38:43,760 --> 00:38:45,640
people still do that.
And I don't understand why,
739
00:38:45,640 --> 00:38:47,680
because it's not the reason we
got into this industry.
740
00:38:47,680 --> 00:38:50,200
So people that are in those
roles that are ghosting, it
741
00:38:50,200 --> 00:38:53,360
makes no sense to me because
I'm, again, that would keep me
742
00:38:53,360 --> 00:38:55,080
up at night.
Would you say that that's simply
743
00:38:55,080 --> 00:38:59,920
born out of scale again, you
know, how could you give unique,
744
00:39:00,520 --> 00:39:05,040
unique and and constructive
feedback to say 750 applicants
745
00:39:05,040 --> 00:39:07,160
or I know, but.
You're right, you're absolutely
746
00:39:07,160 --> 00:39:09,480
right.
And you know, talent functions
747
00:39:09,480 --> 00:39:12,280
have been under resourced
always, right?
748
00:39:12,280 --> 00:39:14,520
Like let's do more with less.
It always has been.
749
00:39:14,640 --> 00:39:18,320
You know, we saw post COVID all
the redundancies that happened
750
00:39:18,320 --> 00:39:19,760
in our space.
Everyone said, Oh, well, we're
751
00:39:19,760 --> 00:39:21,880
not going to hire for a little
while because we we're going
752
00:39:21,880 --> 00:39:24,760
through, you know, economic
recovery and we're just gonna
753
00:39:24,760 --> 00:39:27,600
keep our organisations flat.
So we'll just boot the talent
754
00:39:27,600 --> 00:39:28,800
team.
They're not gonna be recruiting.
755
00:39:28,800 --> 00:39:31,000
And then of course, you know, 12
months later they had to build
756
00:39:31,000 --> 00:39:32,160
another recruitment team, of
course.
757
00:39:33,240 --> 00:39:37,560
So, you know, I, I think that
it's that it's long days, it's
758
00:39:37,560 --> 00:39:39,880
long hours.
The traditional way of
759
00:39:39,880 --> 00:39:44,240
recruiting and going through CV
by CV by CV is exhausting.
760
00:39:44,240 --> 00:39:48,160
You become tired, you know,
consultants become lazy for
761
00:39:48,160 --> 00:39:50,760
that.
And our technology just wasn't,
762
00:39:50,760 --> 00:39:54,400
wasn't where it need, needed to
be in order to, to personalise
763
00:39:54,440 --> 00:39:57,800
feedback.
And yes, it is, it is scale, it
764
00:39:57,800 --> 00:40:02,240
is volume, but it's got a shift
and it's going to shift because
765
00:40:02,240 --> 00:40:06,880
the expectations, as I said, if
we're expecting applicants to do
766
00:40:06,880 --> 00:40:11,000
more and to share more and for
us to form that connection,
767
00:40:11,000 --> 00:40:13,400
everything we're talking about
from your aeroplane lamp in the
768
00:40:13,400 --> 00:40:16,320
background earlier, right?
Like if you're inviting me into
769
00:40:16,320 --> 00:40:21,120
your home, the least I can do is
give you something that you can
770
00:40:21,120 --> 00:40:24,320
go away.
And learn from through that
771
00:40:24,320 --> 00:40:27,680
process and an experience that
you'll be able to reflect on and
772
00:40:27,680 --> 00:40:30,520
go, Do you know what?
Eden was an absolute legend.
773
00:40:30,520 --> 00:40:32,000
Yeah.
I'm going to grow a moustache
774
00:40:32,000 --> 00:40:34,200
this year because that cause and
everything that I learned
775
00:40:34,200 --> 00:40:37,040
through that process, they're
doing bloody amazing work.
776
00:40:37,040 --> 00:40:39,640
And I need to be a part of it
because I want to change men's
777
00:40:39,640 --> 00:40:40,760
health as well.
Right.
778
00:40:40,760 --> 00:40:42,960
Yeah, absolutely.
And I think that so much of what
779
00:40:42,960 --> 00:40:48,640
you said around utilising less
human things to allow for more
780
00:40:48,640 --> 00:40:52,080
human interaction at different
stages of the process.
781
00:40:52,880 --> 00:40:56,360
And, and even your point around
gets getting a bit more creative
782
00:40:56,360 --> 00:40:59,080
about how people screen
candidates and things, which
783
00:40:59,080 --> 00:41:01,520
again, let's that humanity shine
through.
784
00:41:01,520 --> 00:41:04,680
It sounds like there is still
quite a lot of emphasis on the
785
00:41:04,680 --> 00:41:07,320
human side behind everything,
which is lovely.
786
00:41:08,200 --> 00:41:10,320
Thanks so much for for all that
Eden.
787
00:41:10,480 --> 00:41:13,160
What's on the horizon for you
and where can people follow what
788
00:41:13,160 --> 00:41:14,880
you're up to?
Yeah, for sure.
789
00:41:14,880 --> 00:41:17,120
Well, always follow me on
LinkedIn.
790
00:41:18,400 --> 00:41:21,360
Look horizon for me, like the
creative, right?
791
00:41:21,360 --> 00:41:24,520
Like I, you know, I have
redesigned our employer brand
792
00:41:24,520 --> 00:41:27,160
and really, you know, and, and a
lot of that is around the, the
793
00:41:27,160 --> 00:41:30,120
process of the application and
really inviting people to come
794
00:41:30,120 --> 00:41:32,160
and do good with us.
So I'll be doing a lot of work
795
00:41:32,160 --> 00:41:34,560
around that and a lot of
creative work, which is
796
00:41:34,560 --> 00:41:36,880
exciting.
So follow the Movember page and,
797
00:41:36,880 --> 00:41:40,240
and we're coming into campaigns.
So, you know, you'll be seeing a
798
00:41:40,240 --> 00:41:42,880
lot of content coming from
November and it's time to start
799
00:41:42,880 --> 00:41:45,880
planning your moustache or your
or your move for November
800
00:41:45,880 --> 00:41:49,640
challenge.
I have launched a, a podcast.
801
00:41:49,640 --> 00:41:52,200
So Eden Haddock, total talent,
have a search for that on
802
00:41:52,200 --> 00:41:54,800
Spotify or, or Apple.
And, and that's really just sort
803
00:41:54,800 --> 00:41:57,040
of me sharing what's going on in
my world.
804
00:41:57,040 --> 00:42:00,160
And people can learn more about
what's happening in the, in the
805
00:42:00,160 --> 00:42:02,880
talent space.
It's me blathering on for 20
806
00:42:02,880 --> 00:42:05,600
minutes each episode.
It's really about what's
807
00:42:05,600 --> 00:42:07,720
happening and I'm using AI to
summarise it.
808
00:42:07,720 --> 00:42:09,680
So there you go.
It's helping, it's helping me
809
00:42:09,680 --> 00:42:13,240
script it.
But yeah, I'm always open to
810
00:42:13,240 --> 00:42:15,640
hearing what's going on.
And as candidates like share
811
00:42:15,640 --> 00:42:18,080
more of what's going on, you
know, we want to know and we
812
00:42:18,080 --> 00:42:20,760
want to learn.
And I think if you go through a
813
00:42:20,760 --> 00:42:25,440
recruitment process and you
enjoy components of it, share it
814
00:42:25,440 --> 00:42:27,600
with the recruiter.
If there are things that need
815
00:42:27,600 --> 00:42:30,600
improve, share it, right?
I survey everyone, Everyone.
816
00:42:30,600 --> 00:42:34,480
You know, I've got since I
launched this in in March, I've
817
00:42:34,480 --> 00:42:38,280
got 1300 different responses
from candidates and, you know.
818
00:42:39,000 --> 00:42:40,640
Doing something right then?
Yeah, right.
819
00:42:40,640 --> 00:42:42,440
But look at, you know, some of
it's improvement, right?
820
00:42:42,440 --> 00:42:44,680
Some of it was like, you know,
the colour wasn't accessible.
821
00:42:44,680 --> 00:42:46,920
I'm vision impaired and I went
shit as I need to fix that
822
00:42:46,920 --> 00:42:48,280
straight away.
I didn't even realise.
823
00:42:48,280 --> 00:42:49,840
Right.
Like you learn.
824
00:42:49,880 --> 00:42:51,360
You learn along the way.
Yeah.
825
00:42:51,440 --> 00:42:54,320
Awesome, Eden, thank you so much
for joining us.
826
00:42:54,440 --> 00:42:58,040
Thanks mate, it was great.
For more info on what we've
827
00:42:58,040 --> 00:42:59,840
discussed today, check out the
show notes.
828
00:42:59,880 --> 00:43:02,360
If you enjoyed this one, you can
subscribe to Ruined by the
829
00:43:02,360 --> 00:43:04,960
Internet on your favourite
podcast app and help spread the
830
00:43:04,960 --> 00:43:07,320
word by sharing this episode or
leaving a review.
831
00:43:07,640 --> 00:43:09,360
I'm Gareth King, see you next
time.

Edan Haddock
Head of Talent and People Experience - Movember
Edan Haddock is a distinguished HR leader, celebrated for his innovative contributions to the Talent Acquisition and Recruitment sectors. As the Head of Talent and People Experience (Global) at Movember, Edan plays a pivotal role in shaping the organisation’s end-to-end global talent strategy. His remit spans across employer branding, workforce planning, talent management, strategic recruitment, and enhancing the overall candidate and employee experience.
Edan is responsible for building inclusive hiring practices and designing innovative talent solutions that align with Movember’s mission to change the face of men’s health.
In this leadership role, Edan partners closely with executive teams across Australia, the UK, the US, Ireland, New Zealand and Canada to ensure the organisation attracts, retains, and grows world-class talent.
He has led the evolution of Movember’s Employee Value Proposition (EVP), championing a culture that celebrates purpose, community, and wellbeing. Under his leadership, the talent function has become more proactive, data-driven, and human-centred—helping Movember to deliver on its ambitious impact and growth goals globally.
Passionate about showcasing the Australian talent industry on the global stage, Edan continues to influence and innovate within the HR community. He is a vocal advocate for mental health awareness in the workplace and champions the role of creativity, empathy, and vulnerability in building high-performing teams.