Geri:
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Welcome to Changing Academic Life.
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I'm Geraldine Fitzpatrick, and this is
a podcast series where academics and
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others share their stories, provide
ideas, and provoke discussions about what
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we can do individually and collectively
to change academic life for the better.
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welcome to part two of my conversation
with Graham McAllister, where we explore
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his next career pivot to a master's
degree in organizational psychology
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at the London School of Economics.
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You may remember that at the end of part
one, we left him having sold his startup
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company and on holidays and starting to
write his book on usability and games.
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He talks about how during the writing
process he realized that there was
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actually a deeper core problem, and
that was the lack of a unified vision
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within the teams developing the games.
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Through some serendipitous encounters,
he ends up at London School of Economics
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as a student again and studying
organizational psychology to help him
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work out how he could solve this problem
of shared vision and vision alignment
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Again, his insights have relevance
beyond the video games industry to
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any creative team endeavor, including
collaborative research projects.
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He discusses the transformative power
of shared mental models and vision
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alignment within teams, the importance
of hiring practices for diversity and
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the significance of values and beliefs.
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He also talks about methods to ensure
alignment and resilience within
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teams and shares insights into how
these principles can be implied to
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improve both product development and
organizational cultures more generally.
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So we'll pick the recording up here
at the end of where Graham has been
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reflecting on how he got to some of
those deeper insights into what the real
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problems were in the video games industry.
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Graham: So yeah, eventually at the
end of my career, I got to the bottom
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of my pyramid of whys, which is
it's, it's mental models combined
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with vision and culture are the two
things I ultimately come back with.
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Geri: So why did you think you
had to go back and do an MSc
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Graham: I didn't know.
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I'd, so here's, when I left my
company, I did not know for the
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first time what I wanted to do.
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But I did know that I was done there.
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Geri: hmmm
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Graham: I've never had that before.
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I've always known what the next leap
was, like, you always join these dots up.
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My dot is here, the next dot's over there.
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I see, you kind of form a path.
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But there was no other dot in this case.
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But I went on holiday to a Spanish
island, and in the morning I went for
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a long run, and in the afternoon I sat
with my iPad and started writing a book.
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on my previous career.
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So on usability, it was called
usability type testing or something.
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It changed over the years, but so I
started writing this book and I eventually
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got to the chapter, which talked about
user experience, so not usability.
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In other words, what's the barrier to
playing the friction points, whatever.
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But more the feeling you
get when you play the game.
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And I realized I found the
chapter quite difficult to write.
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I was like, that's interesting.
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Basically, you're trying to answer
the question, what is a video game?
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What is it?
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What happens when we play a video game?
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And how would I write that in a chapter?
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And I thought about, it made me
think about my very first client in
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the video game industry, where they
allowed me to walk around the studio.
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And I was able to walk around,
and I remember asking people,
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Tell me about your game.
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No, tell me about your mission.
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What are you making?
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And I got a different answer from
the different people that I spoke to.
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They're in different departments.
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Everyone was a designer.
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Everyone was a programmer.
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Everyone was an artist.
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Everyone was in the management.
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I remember thinking,
isn't that interesting?
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This team.
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They don't really know what
they're doing, at least I'm not
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getting that from the answer.
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And that game ended up being
cancelled due to lack of vision.
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In other words, they
didn't know what it was.
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So this problem, here's me trying to write
this book as a chapter thinking, it's
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very difficult to write what a game is.
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And when I speak to people
making the product, they don't
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seem to know what it is either.
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That's a fascinating
research problem, right?
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What is it then?
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How do I, how would,
imagine this was a PhD.
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What's the research question that
we're actually trying to answer here?
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What is vision?
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What is game vision?
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And so someone eventually said
I should speak to, actually it's
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someone we know, Pejman,Mirza-Babaei.
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Pejman said, I've got a
friend you should speak to.
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And she was a visiting professor at UCL.
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And she said, Oh, I see your problem.
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That's organizational psychology.
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That's the sub branch
of psychology you're in.
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I didn't even know what
branch of science I was in.
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I was like, I've got a problem.
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I see the problem.
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All the evidence in the
industry says there's a problem.
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But it took someone else to tell
me the flavor that the science, the
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branch of science I needed to go with.
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And I was like, wow, that's interesting.
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So I better find out double quick
about organizational psychology
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and thank you because you're part
of my LSE journey by helping me do
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Geri: LSE is the
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Graham: London School of Economics.
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Yeah.
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Sorry, I should say.
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So I applied to London School of
Economics, which you, uh, very, you're
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very kind as many people listening
will know, uh, you wrote the, the,
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uh, letter of support, the, um, And
I'm sure your level of support is
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fundamental to me getting into LSE.
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But so I went back to London
School of Economics to study
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organizational psychology, which
is a very good program for that.
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It's only beaten by a few, like maybe
Harvard or, or maybe a few others.
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So it's very, very highly regarded.
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I was lucky to get in.
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Um, but I was doubling down.
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The same feeling I had, remember I said
I stood still when I knew I was going
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to start a games user research studio.
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It stopped me moving.
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That's how, that's how
strong the feeling was.
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vision problem had the same effect.
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Where I knew everything was
like, that, that's the path.
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There's no deviation from this path.
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That's the path for the end of my
career is I did not know what I'll
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find and maybe what I end up finding
is there's nothing to be uncovered.
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And it's just one of those
problems where we don't know,
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but could have been the answer.
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I genuinely could have been
the answer, but it's not.
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You actually can fix it,
which is the good news.
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But I did know that I only
had that feeling twice.
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One was user research
to the game industry.
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And now game vision and bringing
that into the game industry.
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I'm pausing there.
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Because I think there's going to be a, I
could have a final chapter, some sort of,
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um, postscript, which just says, could
I bring this to any team or any company?
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Because
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Geri: we'll get to that , I want
to pick up on, you said it's only
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twice you've had that feeling.
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Tell us more about the feeling
because we're often, especially as
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academics, researchers, computer
scientists, we're in our heads.
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And you talked about the first time
you did the in your head spreadsheet
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of pros and cons and adding up
and, you know, in the end went
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with the gut, the feeling there.
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And then you had these other two very
clear experiences of being stopped.
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Talk more about the feeling,
like how do you access it?
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How do you recognize it
literally in your body?
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Graham: yeah, it is.
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It's a feeling.
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It's a, it's a very strong.
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all consuming feeling where, I don't
know if you ever watch a TV, an American
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TV show called House, he's a doctor
played by Hugh Laurie, and he's always
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trying to solve some really complicated
problem, you know, and he, but there's a
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moment every show where the camera zooms
in on his face and he stares into the
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mid distance and you realize he's got
the answer to this problem, you know.
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That is exactly the feeling I get that
I had in these two scenarios where you
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realize you're working on something
but you don't know quite It's not all
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the cogs haven't quite aligned yet.
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And then suddenly you realize that's it.
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That's the thing.
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And I had it with user research.
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And I had it with game vision where
it was like, that's the thing.
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Those are answering.
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You could say as well, we don't have
that term, ikigai, you know, where
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it's like, do people have the need?
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Do you have the passion?
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Do you have the skill?
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Those that sort of intersection
of these things overlap.
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And I think in each of those
cases, the overlap was so strong,
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like it burned a hole through
the center of the Venn diagram.
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Like it was just all consuming.
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That is the thing.
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And nothing has taken
me away from the path.
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So I think if you had it where it
was like, yeah, it's a bit like that.
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I'll try that for a few years.
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Then people change again.
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I was not changing.
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This is user research kept me for the
company was seven years, but it was
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before that, you know, even at Queens.
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So that was over a decade.
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That's bringing HCI to the game
industry, no deviation from the path.
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But then when the journey was done, I was
eventually, my mind was released from that
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problem, thinking, well, we've done that.
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What else?
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Because I knew that user research
was not the final answer.
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I got to a certain level of
the five whys, which is, well,
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we can put a band aid over it.
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We can, we can make the product
a bit better, but we're not
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actually fixing the team, really.
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They still don't know what they're making.
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User research did not
answer that question.
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That is not a user research problem.
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That's an organizational
psychology problem.
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So again, the hole was still burning,
but I realized there's something else.
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I had saw that problem in my previous
job, but I didn't have, when I left
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that job, I didn't quite hadn't
connected yet because I wasn't aware
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of organizational psychology and shared
mental models and all that type of, I'd
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heard the terms obviously, but I wasn't.
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I hadn't investigated them enough to
realize that is the particular that's
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leading to the user research problem.
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There's a deeper layer that
needs to be investigated here.
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But it's all consuming.
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It's like that.
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I can't express other than when you
know, you know, when you realize there's
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nothing going to take you off that path
that I don't need to look anywhere else.
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This is the final, this is it.
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This is the answer to there's
something here that is a decade
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long avenue of research and bringing
the knowledge and the findings
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to to your domain, your industry.
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Geri: I can hear that just certainty.
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I can hear the certainty
and the conviction.
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And, and it also sounded like you needed
to give yourself some space for it to mull
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in the back of your mind to get to that.
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It wasn't so much an intellectual process.
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It was Something that percolated
and it needed time and some
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distance, some stepping back.
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Graham: It needed two things.
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You're quite right.
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It needed time, need space to, um, need
space to not think about your current
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problem, but I also needed education.
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I needed someone to tell me,
I was not aware of this thing.
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It was an unknown, unknown that
I'm going to do that of all the
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possible branches of science that I
could go down and MScs I could do.
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I could have took the wrong one.
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I could have ended up doing something
kind of similar, maybe behavior
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change, which is kind of similar.
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But not quite in the same
sphere, you know, there was
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multiple ways I could have went.
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But this was laser, this was the one.
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So, I think you needed a little bit I
needed a little bit of education to say,
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Okay, um, I don't want to do this three or
four times in a row until I get it right.
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I needed time, I needed a bit of
education by speaking to different
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people, and then this UCL professor
said, This is where you need to go.
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Which proved to be true.
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So, that's lucky, right?
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That's luck as well that Pejman happened
to know this professor that happened
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to know who happened to know that.
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Geri: I always say if I did a
word cloud from the podcast of all
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the people sharing their stories.
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Luck would come out and it's
amazing how things work out.
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Serendipity happens.
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We just happen to meet or, you know, and
there's, there is a part where we have
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to be open and in a place to respond
and, you know, it's not going to drag us.
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Luck isn't going to drag
us kicking and screaming.
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We have to be open.
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But yeah,
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Graham: And I think that problem
academics suffer from that as well as
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in, especially industry people, where
they're so busy on the treadmill of,
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like I remember trying to do some, some
consulting, audio consulting a little bit.
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And some companies are,
we've no time to do that.
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So vision is the number one problem.
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I bore you for another hour.
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I'll tell you all the evidence.
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It's the number one problem,
stopping a games team, the game.
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And even for the number one
problem, making that team effective.
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They say, we have no time.
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They don't have the headspace to
even pop the head up and say, what
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problem are we actually addressing?
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So they're happy to build the wrong
product and make a mess of it.
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Than stop for four hours and
address the problem, which sounds
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insanity when you put it like that.
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Geri: Sounds insanity
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Graham: That's what happened.
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Geri: Sounds
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Graham: what happened.
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Geri: Yeah.
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Graham: Even as a researcher, like
I would say, going back to my LSE
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Masters, I knew going in that if I
found a meaningful result, I would
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be commercializing it in some way or
giving it away, writing a book and
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talking about it, sharing my knowledge.
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Where I did not have that mindset
when I was a PhD student, I was doing
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a PhD because I don't think I wanted
to get a job, you know, and someone
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paying me some funding to hang around
a computer for three years felt
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like, you know, that was wonderful.
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So, if I got, if I was doing a PhD now,
my mindset would be, well, is the problem
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substantial enough that I want to do it?
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Could I, would I write a
book over it at the end?
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Could it turn into a company?
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My mindset would be completely
different back to me as a 22 year old,
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Geri: And that's a
journey as well, isn't it?
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Graham: Yeah.
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Well, at least I fixed it with LSE.
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I did go in thinking this is going to
be a tool, it's going to be a book,
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it's going to be a series of talks.
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Um, so at least I did learn rather
than repeat this, repeat this
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Geri: And did, how, did you enjoy
the, the master's like, because
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this is going back to academia
again, but this time as a student.
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Graham: You have no idea.
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I didn't want to leave.
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I did not want to leave.
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London School of Economics was wonderful.
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I was smiling to myself
walking around campus.
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Like, I'm not using that as a metaphor or
saying that figuratively, I was literally
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walking around smiling by myself, just
thinking how lucky am I to be here
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researching a topic that I cannot stop
thinking about, that's going to solve
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the number one problem for games teams.
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Well, there's a chance
I might solve it anyway.
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How lucky is that?
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What's wrong with that picture?
295
:
00:14:49
That's, that's, that's as good
as it gets, honestly, um, I
296
:
00:14:53
couldn't imagine anything better.
297
:
00:14:56
That's high up.
298
:
00:14:58
Yeah,
299
:
00:14:59
Geri: Oh, that's
300
:
00:14:59
Graham: so yeah, I think being a 50 year
old student, you know, I was clearly
301
:
00:15:03
the oldest person in the room, uh,
including most of the lecturers, but I
302
:
00:15:08
didn't, that didn't bother me at all,
you know, um, even when I applied to
303
:
00:15:13
LSE, they asked me, I applied as Mr.
304
:
00:15:16
Graham McCallister, I never used
my PhD, um, so I applied as Mr.,
305
:
00:15:20
but when they wrote back, they changed
it to doctor or something, you know,
306
:
00:15:23
and I was like, oh, oh, they really,
really do look at that stuff, but I
307
:
00:15:25
didn't, I wanted them to Ignore that.
308
:
00:15:27
I'm a student.
309
:
00:15:28
We're all students.
310
:
00:15:29
You know, this, uh, this identity
title that, oh, you, you learned
311
:
00:15:33
once, so now you're finished.
312
:
00:15:34
That's complete nonsense, you
know, and I want, I wanted the Mr.
313
:
00:15:37
title.
314
:
00:15:38
I did not want the, the PhD
title, you know, so I was
315
:
00:15:42
disappointed that they used that.
316
:
00:15:44
Geri: Yeah.
317
:
00:15:44
Because it is, it is an
ongoing learning journey.
318
:
00:15:48
I know that, um, I also went
back and did a master's.
319
:
00:15:52
I think I was, I think I had just
turned 60, actually, when I went
320
:
00:15:56
back to do my, to do a master's.
321
:
00:15:59
And it was in a applied positive
psychology coaching psychology.
322
:
00:16:02
So again, sort of in that area, because
I saw a need and, and really wanted to
323
:
00:16:07
address it and have an evidence base.
324
:
00:16:08
And I, I couldn't, I was just smiling
to myself because I, it was hard work
325
:
00:16:14
and I was doing it on top of my day
job and I loved every single minute.
326
:
00:16:20
It was never a chore to sit down and
read a paper or write an assignment.
327
:
00:16:26
Graham: What do you think changed
between us as 18 year olds doing
328
:
00:16:29
our first bachelor's degree and
going back in the middle years of
329
:
00:16:32
our life, you know, and kind of
thinking, this is the best thing ever.
330
:
00:16:37
Geri: I don't know, it's funny.
331
:
00:16:38
I'd go back and study again
and I still keep doing courses.
332
:
00:16:42
I think it, I heard what you said about
it connecting to the why you're doing it.
333
:
00:16:49
You've got a really clear
sense of why you care.
334
:
00:16:52
And you also have a clear sense
that you don't know enough in
335
:
00:16:56
order to solve a problem or help
in a way that you want to help.
336
:
00:17:00
You need some more input
that you don't have so far.
337
:
00:17:04
Graham: Yeah.
338
:
00:17:05
I think as an 18 year old, you're
doing a degree to get a job.
339
:
00:17:08
That's a stepping stone, but at 50
or 60, you're doing it because of
340
:
00:17:14
some cause, some mission that you're
on to say, well, you don't need to
341
:
00:17:18
do it at that stage, but you do.
342
:
00:17:21
And, and you want more as you say you do
it, it's not like you come out and think,
343
:
00:17:25
well I'm glad that's done, I'll now go
and do, I want, I want to do more of
344
:
00:17:28
that, because there's more, you're just
uncovering more of what you don't know,
345
:
00:17:32
Geri: Yeah.
346
:
00:17:33
Graham: I don't know how
347
:
00:17:34
I
348
:
00:17:34
Geri: think also when you think also
when you're 18 or 28, you also think
349
:
00:17:39
that somehow this is your path.
350
:
00:17:43
You know, it's a career and.
351
:
00:17:47
And it's not, it's just a step,
352
:
00:17:51
Graham: I don't what type of PhD you did.
353
:
00:17:53
I broadly see two types, so one is, you
join a department or a research group, and
354
:
00:17:58
they're working on problem X, and you're
another researcher working on problem X.
355
:
00:18:02
But mine was not that type, my PhD
was, the funding came from the dean
356
:
00:18:06
or something, there was some strange
Prize or award or something I had.
357
:
00:18:08
So I basically said, we can do computer
graphics, but you go and find your
358
:
00:18:14
problem and then go and research it.
359
:
00:18:17
And of all the things that
stood me the most over time was
360
:
00:18:21
being able to find the problem.
361
:
00:18:23
The first part of that PhD is
they didn't give the problem and
362
:
00:18:26
say, no, go and solve the problem.
363
:
00:18:27
It was you find the problem and
then go and fix the problem.
364
:
00:18:32
the first part was by
far the most interesting.
365
:
00:18:34
How do you find the problem?
366
:
00:18:36
That's the bit that's lasted me through
the company, and what I, the vision,
367
:
00:18:40
or player psychology, team psychology,
that's the part that's remained,
368
:
00:18:43
is your ability to see the problem.
369
:
00:18:46
That will endure forever.
370
:
00:18:48
The PhD in computer graphics, whatever,
no one's, you know, who cares, right?
371
:
00:18:53
Geri: yeah,
372
:
00:18:54
Graham: But your ability to think
through, well, if you're going to
373
:
00:18:56
solve the problem, how do I know, how
do I know how to solve the problem?
374
:
00:19:00
Where do I look?
375
:
00:19:00
How do I look?
376
:
00:19:02
That's interesting.
377
:
00:19:03
Geri: mm, it is, yeah, I, I
also did a PhD similar to that.
378
:
00:19:07
Um, so you did your, you did your
masters and you've talked about how
379
:
00:19:11
the, the key learnings insights were
around this, um, the value of, of
380
:
00:19:17
bringing a mental models perspective to
understanding shared vision within a team.
381
:
00:19:22
And you're very much applying that
within the games industry and how
382
:
00:19:26
to make games development better,
going back to this core problem.
383
:
00:19:31
I'm curious whether you think
that, you know, because you also
384
:
00:19:35
talked about doing some consulting
outside of the games industry.
385
:
00:19:38
So I'm curious to hear whether this
notion of teams and having a shared vision
386
:
00:19:45
is a problem in other domains as well.
387
:
00:19:48
And I'm thinking of, you know, our
academic research projects, for example,
388
:
00:19:53
Graham: For example?
389
:
00:19:54
Geri: as an example.
390
:
00:19:54
Yeah.
391
:
00:19:55
Graham: It appears to be the case.
392
:
00:19:57
So whenever I've talked, we talked
a few times about this publicly, the
393
:
00:20:01
game vision model, but whenever I
have talked about it, it would not
394
:
00:20:06
be unusual where people on the team
would say, Hey, that's interesting.
395
:
00:20:09
This is showing we're
not aligned on our goal.
396
:
00:20:13
Could you also help us at the
company level, not at the product
397
:
00:20:16
level, but at the game level?
398
:
00:20:17
In other words, I don't think the
founders of the company all want to
399
:
00:20:20
take the company to the same place.
400
:
00:20:22
For example, and people have
said that from, uh, academia has
401
:
00:20:25
come up, for example, banking.
402
:
00:20:27
I gave a talk at a design conference
and someone said, the, the management
403
:
00:20:31
of the bank aren't taking it.
404
:
00:20:33
And I've always, I've always said, see, I
always thought that was an easier problem
405
:
00:20:37
to solve because they're more tangible.
406
:
00:20:38
It's easy to see with video
games, it's an experience.
407
:
00:20:41
So it's intangible.
408
:
00:20:42
And I thought the problem was,
and it kind of is, because it's
409
:
00:20:45
not tangible, you can't point to
it and say, Well, we're making X.
410
:
00:20:48
So we all know we're going in the same.
411
:
00:20:50
But if we're making a company, the KPIs
are usually quite clear, which is we're
412
:
00:20:55
going to, you know, solve this problem
for these types of people in that market.
413
:
00:20:59
Um, are we all doing that?
414
:
00:21:00
Yes, we're all doing that.
415
:
00:21:01
And what do you realize?
416
:
00:21:03
And shared mental models is you're
probably not going deep enough.
417
:
00:21:06
In other words, at the surface level,
it looks like you're aligned, but
418
:
00:21:10
then you might get to something like,
well, how do we go about doing that?
419
:
00:21:13
Or what do we sacrifice?
420
:
00:21:14
Or what are you willing to leave
behind the typical organizational
421
:
00:21:17
change models, Kotter's model of,
you know, what do we change or what
422
:
00:21:20
do we keep and things like that.
423
:
00:21:22
So you realize that if
you're experiencing.
424
:
00:21:25
People say they're aligned.
425
:
00:21:26
It's probably not true.
426
:
00:21:28
That's one thing to bear in mind.
427
:
00:21:29
The second thing is just look to see are
you experiencing friction in your team?
428
:
00:21:34
After experiencing
friction, is it over a goal?
429
:
00:21:37
And why is that?
430
:
00:21:38
It means that if you think you're
aligned, but you're still experiencing
431
:
00:21:41
friction, then you haven't gone to a
deeper level of what are we aligned on?
432
:
00:21:45
Like maybe you're not aligned on values.
433
:
00:21:47
Like maybe we get growth.
434
:
00:21:48
We're getting the numbers.
435
:
00:21:49
We're making gazillion dollars a year.
436
:
00:21:51
But maybe we sacrifice to ethics,
we're horrible to people, we're
437
:
00:21:55
horrible to employees, we're
horrible to our customers, we're
438
:
00:21:57
horrible to the environment.
439
:
00:21:59
We'll sacrifice all of
that for the bottom dollar.
440
:
00:22:02
That's a source of friction, but that,
that means you're not aligned, obviously.
441
:
00:22:06
So alignment, you need to be, figure out,
well, are we aligned all the way down?
442
:
00:22:12
Not only in the goals, but also on how we
deliver the goals and how we check that.
443
:
00:22:17
Geri: So how we deliver the goals,
which goes back to, you know,
444
:
00:22:20
cause what you said there reflects
Our shared understanding of the
445
:
00:22:25
values underpinning the decisions
for how we achieve that goal.
446
:
00:22:30
Graham: And even back to your why,
like you've got a research group.
447
:
00:22:32
Why do we have a research group?
448
:
00:22:35
But why does this research group exist?
449
:
00:22:37
Is it just to churn out papers
or to fund PhD students to
450
:
00:22:40
sacrifice my career growth?
451
:
00:22:42
Or does the research group exist
to do some other bigger purpose?
452
:
00:22:46
Does it have a mission statement?
453
:
00:22:47
A company should have a mission statement.
454
:
00:22:49
What I've also seen, I'm
going to speak about my own
455
:
00:22:51
industry and video games here.
456
:
00:22:52
A lot of them, although they say
they have mission statements,
457
:
00:22:54
they're kind of paper thin.
458
:
00:22:56
Like really, it's about making money.
459
:
00:22:58
And part of me just wishes
them to just be honest and say,
460
:
00:23:00
we make, we're making money.
461
:
00:23:02
At least it'll be authentic, you know,
instead of saying, oh, we do it for
462
:
00:23:05
the players or some nonsense like that.
463
:
00:23:07
So, and you realize that a lot
of people don't hang around in
464
:
00:23:10
those companies because they
see through it pretty quickly.
465
:
00:23:12
But.
466
:
00:23:13
They don't want to belong.
467
:
00:23:14
You're just, you're not being honest
at least, you know, if you want to
468
:
00:23:17
make money, there's nothing wrong
with it, but at least to wrap it
469
:
00:23:22
up in some paper thin, you know, I
470
:
00:23:25
Geri: with your own company, you would
do things differently now, having
471
:
00:23:30
gone through the master's degree.
472
:
00:23:32
Graham: I think so
473
:
00:23:32
Geri: What would you do differently
if you were starting up your,
474
:
00:23:36
um, your own company now?
475
:
00:23:39
Graham: I think the way I, the way I
viewed hiring people back then was people
476
:
00:23:45
who were like me, I'm going to hire
people with my skillset culture fit.
477
:
00:23:49
You might say these days, but again, we
look at the science of building teams.
478
:
00:23:53
That's exactly what you
should not do anymore.
479
:
00:23:55
It's culture add, but you're looking
for people with the skillset.
480
:
00:23:57
The reason why you hired hired
me, in fact, you were ahead of
481
:
00:23:59
the curve, so you're looking to
build people who are, you know,
482
:
00:24:03
they fit your values, but they're
going to add something to the team.
483
:
00:24:06
So you don't want people disagreeing
on, uh, I'm not a culture researcher,
484
:
00:24:10
but obviously it came up with
LSE, but you want someone who fits
485
:
00:24:12
into your way of doing things.
486
:
00:24:13
You don't want someone who's all about
money and somebody's all about ethics.
487
:
00:24:16
Clearly that's a clash, you know,
but you want someone who's going
488
:
00:24:19
to fit the values of the company.
489
:
00:24:21
In addition to adding
different skill sets.
490
:
00:24:23
So culture fits now the outdated model
where you're just building more and more
491
:
00:24:27
the same and the company doesn't have any
real, it's going to stagnate over time.
492
:
00:24:30
Effectively, you may get success in
the short term, but over the long term,
493
:
00:24:34
you're not building a very good culture.
494
:
00:24:36
Culture add is the current
best way of building teams.
495
:
00:24:40
Geri: You're not building a resilient,
um, culture either because culture
496
:
00:24:44
add adds in resilience by nature of
the diversity that you're adding in.
497
:
00:24:51
Graham: Yeah, diversity of thought, you
know, challenging of ideas, so culture
498
:
00:24:54
builds in resilience, those cultural
resilience, and if anything the game
499
:
00:24:58
industry is not resilient, you know,
and they're also not very honest with
500
:
00:25:01
themselves, they have lots of problems.
501
:
00:25:02
Leadership problems are terrible,
like they're not usually trained on
502
:
00:25:06
leadership, they're just someone who
was once a domain expert and has now
503
:
00:25:09
been promoted to C level and they are.
504
:
00:25:13
This is not good.
505
:
00:25:14
They call it a professional industry,
but I query that on a daily basis,
506
:
00:25:18
and it's very much an amateur industry
with pockets of professionalism.
507
:
00:25:23
The domain experts are usually,
you know, experts in their domain.
508
:
00:25:26
That's true.
509
:
00:25:27
But the higher up the management, the more
culture sits or is normally controlled,
510
:
00:25:34
not ideal.
511
:
00:25:35
Geri: Mm.
512
:
00:25:36
Graham: Not ideal.
513
:
00:25:37
Geri: But many Part of the problem
in academia, as well as we're not
514
:
00:25:42
Graham: It is.
515
:
00:25:42
Geri: trained in leadership, which is why
we have our leadership development course.
516
:
00:25:47
Graham: And it's needed.
517
:
00:25:49
You probably remember, even as
an academic, people said, why
518
:
00:25:51
do we have academics do research
and teaching and administration?
519
:
00:25:56
Why do they have to be a jack of all
trades, for want of a better phrase?
520
:
00:26:00
Why do they have to do these
three separate threads?
521
:
00:26:02
When we could, another
model is we have experts.
522
:
00:26:05
But you apply that out and say,
well, why don't we have management
523
:
00:26:07
who are actually trained?
524
:
00:26:09
In management, we understand culture
and team building and building
525
:
00:26:13
resilience and coaching and growth.
526
:
00:26:16
And wouldn't that be nice in addition?
527
:
00:26:18
So, we don't have that.
528
:
00:26:19
We still have academics who do
teach and admin and do research.
529
:
00:26:22
And we still have, you know, the C suite
in academia who are domain experts.
530
:
00:26:27
They were professor of biology and
now they're controlling a university.
531
:
00:26:32
Can't see any problems with that.
532
:
00:26:33
Carry on.
533
:
00:26:36
Not to pick on biology, by the way.
534
:
00:26:37
Geri: So and what else would you
do differently in your company?
535
:
00:26:41
So, one is hiring, the hiring
decisions and this idea of culture add.
536
:
00:26:46
How would you ensure shared vision?
537
:
00:26:50
Graham: I think I did not, I did
not think about the future of the
538
:
00:26:54
company at all when I started because
the most likely outcome is failure.
539
:
00:26:58
So there are people who tried to
build games Research Studios before
540
:
00:27:03
me, and they were subdivisions of
famous research agencies in London.
541
:
00:27:08
And they wrote to me in advance and
said, don't bother trying because
542
:
00:27:11
we tried it and it didn't work.
543
:
00:27:12
So we'll save you the money and time.
544
:
00:27:15
Just don't do that.
545
:
00:27:16
And they said you should also do
it for the web or user research or
546
:
00:27:20
anything, you know, be a generalist,
do not apply it to only video games.
547
:
00:27:23
Because we are the generalists,
so we tried a games theme
548
:
00:27:26
that didn't work out for us.
549
:
00:27:27
And they're very rich and they've
been around for a long, long time.
550
:
00:27:31
So I had a few of those emails
from several different companies.
551
:
00:27:33
So the most logical path was,
look, it's not going to work.
552
:
00:27:36
And the vision for me was simple but
clear, bring HCI to the games industry.
553
:
00:27:42
So if people are hiring me to do
usability testing, my one service
554
:
00:27:46
that I was offering, Then I did not
know what the end result looked like.
555
:
00:27:50
I just knew what the start
of the journey looked like.
556
:
00:27:51
Could I get someone to pay me to
run usability testing on their game?
557
:
00:27:57
And can I find, and the business
model at the time, uh, said something
558
:
00:28:00
like, if I do two usability tests a
month, I think that's enough money
559
:
00:28:05
to start the company for a year.
560
:
00:28:06
It would last for a year.
561
:
00:28:08
Uh, and that's exactly what happened.
562
:
00:28:09
We did way more than that,
by the way, but I think.
563
:
00:28:13
I'll not mention specific numbers,
but I think we 5x'd the money for the
564
:
00:28:18
first year that I needed to survive.
565
:
00:28:21
So I needed x to survive
and we 5x'd from memory.
566
:
00:28:25
So it was more than I thought.
567
:
00:28:27
Um, so it did okay.
568
:
00:28:29
That was the indicator that,
well, that's interesting.
569
:
00:28:31
There's something here.
570
:
00:28:32
But then you may ask, well,
why didn't I have a vision?
571
:
00:28:35
Once I knew it was going to be,
you know, had legs to stand on,
572
:
00:28:38
why not set a vision at that point?
573
:
00:28:40
Um, I think I was just busy doing it.
574
:
00:28:42
You know, that as long as I keep
doing it, then that's, I don't
575
:
00:28:46
even know what the vision would be.
576
:
00:28:48
You know, even when I think back and go,
knowing what I know now about a vision,
577
:
00:28:54
I'm not sure what I even would have said
except bringing this to the game industry.
578
:
00:28:57
It's more of a mission than a vision.
579
:
00:28:58
It was an enduring purpose.
580
:
00:29:01
Like,
581
:
00:29:01
Geri: Is there a process that
you Could imagine going through
582
:
00:29:05
with, let's, let's pretend you're
starting a new company, new team.
583
:
00:29:09
Is that, is there a process that you
could go through or talk about, share
584
:
00:29:16
to get to some sort of at least initial
shared vision for this new company?
585
:
00:29:22
Graham: I think there's
a few things there.
586
:
00:29:23
I think one thing is terminology
around mission and vision is
587
:
00:29:26
sometimes interchangeable.
588
:
00:29:27
Um, so I'll state the most common one.
589
:
00:29:31
I think it's the most common.
590
:
00:29:32
for this conversation.
591
:
00:29:33
So mission is usually something
that will never change.
592
:
00:29:36
It's enduring and usually would last
for decades if ever changed at all.
593
:
00:29:41
So I would say my mission is making
video games should be as enjoyable
594
:
00:29:44
to make as they are to play.
595
:
00:29:45
So the players have a good time
usually, but the people who make
596
:
00:29:47
them have a miserable experience.
597
:
00:29:49
And I'm trying to fix that.
598
:
00:29:51
And one way was.
599
:
00:29:52
It's player psychology, like
measuring the product, and now it's
600
:
00:29:54
team psychology of game vision.
601
:
00:29:56
But the mission's the same.
602
:
00:29:57
In other words, why this
product is made is a mess.
603
:
00:30:00
So the mission's enduring.
604
:
00:30:02
The vision for the last company on
the product, it'll be product focused.
605
:
00:30:07
You know, we're going to bring world
class experience to the measurement
606
:
00:30:10
of player experiences or something.
607
:
00:30:12
That's a vision that would maybe last
for 10 years, um, and that could be true.
608
:
00:30:17
My vision is to say, well,
I'm going to make sure teams
609
:
00:30:20
are aligned on their product.
610
:
00:30:21
So it's more team, team focused.
611
:
00:30:22
Geri: hmm.
612
:
00:30:23
Graham: The process.
613
:
00:30:24
Um, we're trying to align
on a vision is interesting.
614
:
00:30:26
It has to be, you need a model
for the domain you're in.
615
:
00:30:29
That's one thing I've learned.
616
:
00:30:30
So my model for game vision by
itself would not apply to a company
617
:
00:30:34
because the bits I'm building
a mental model deconstructor.
618
:
00:30:37
That's how it's going.
619
:
00:30:38
So I will start off with the one sentence.
620
:
00:30:40
My model does start off with one sentence
saying describe your game in one sentence.
621
:
00:30:45
It's a very high level.
622
:
00:30:46
Or you might say, describe your
research group in one sentence.
623
:
00:30:49
Our research group or our
research project, maybe research
624
:
00:30:52
project is better, our research
project aims to blah, blah, blah.
625
:
00:30:56
But then the mental model deconstruction
part is going down those layers below
626
:
00:31:00
the surface thinking in terms of, I'm not
going to name them, but something else.
627
:
00:31:05
My video games are intangible.
628
:
00:31:06
They're an experience.
629
:
00:31:07
So I have to go from that thing
that you think you're making.
630
:
00:31:10
My job is to build a model that
deconstructs the model in your head.
631
:
00:31:15
And then we visualize it, and
we see how people's brain has
632
:
00:31:19
reconstructed information differently.
633
:
00:31:21
So I visualize what's
invisible, essentially.
634
:
00:31:23
That's how my mental model
635
:
00:31:25
Geri: hmm.
636
:
00:31:25
Mm hmm.
637
:
00:31:25
Graham: deconstructor works.
638
:
00:31:26
But you can imagine applying
that to your own research group.
639
:
00:31:28
Why does your research
project or group exist?
640
:
00:31:31
Then people have a first,
then you ask, again, another
641
:
00:31:34
question, or another question.
642
:
00:31:35
But you need an accurate
model for those sub questions.
643
:
00:31:39
This is where it would differentiate
from the five whys, where you're
644
:
00:31:41
asking the same question to go deeper.
645
:
00:31:45
In spirit, the mental model
deconstruct is the same, but I'm
646
:
00:31:48
using different questions to pull
apart these variations in thinking.
647
:
00:31:54
So that's the main difference between
the general five whys and my game vision
648
:
00:31:59
model, which is, I'm going to go deeper,
but I need a structure that is guaranteed
649
:
00:32:03
to pull apart the variation in thinking,
where the five whys may not pull apart.
650
:
00:32:07
Some people may hit a plateau
at the third why, for example.
651
:
00:32:13
Geri: Yes.
652
:
00:32:14
Yes.
653
:
00:32:14
Because they serve different
purposes, don't they?
654
:
00:32:16
The five whys getting to
the root cause, whereas
655
:
00:32:19
Graham: You could do it as an example, and
you may want to do this on your values.
656
:
00:32:21
I will take a simple model.
657
:
00:32:23
So I've tried to do this for companies
as well, because going back to LSE,
658
:
00:32:26
we do talk about different models of
organizational culture, for example.
659
:
00:32:30
And this is why it would different.
660
:
00:32:31
I've got a model of video games
that my game vision model works on.
661
:
00:32:35
But for a company, you might
say, well, these are our values.
662
:
00:32:37
You know, we pride.
663
:
00:32:39
Resilience, we've got a culture
of resilience, we've got a culture
664
:
00:32:42
of ethics, and we've got a culture
of, I don't know, creativity.
665
:
00:32:45
These are common models
of culture, I'd say.
666
:
00:32:48
And you might say, okay, well
how do you prioritize those?
667
:
00:32:51
Would you sacrifice some ethics
in order to be more creative?
668
:
00:32:55
Or to make more money, and some people
will say yes, and some people will say no.
669
:
00:33:00
I mean, if you see that variation
in the, how they weight these
670
:
00:33:04
different, uh, that's where you're
getting the friction, essentially.
671
:
00:33:07
And so then you have to tease
out, well, why is that happening?
672
:
00:33:10
Why do these people say it's
okay to make more money, where
673
:
00:33:14
they're praising creativity?
674
:
00:33:15
Or ethics, or resilience,
or whatever it may be.
675
:
00:33:18
Geri: And looking for where those
tensions might arise and doing the,
676
:
00:33:23
the pre planning work about how
you might deal with that, like,
677
:
00:33:29
Graham: I've even said with
some companies, whenever you
678
:
00:33:30
start off a new project, I want
you to do a kick off workshop.
679
:
00:33:33
And in the kick off workshop,
we're going to talk about this
680
:
00:33:36
mental model for your game.
681
:
00:33:39
And you're going to tell them this
is part of how you make decisions.
682
:
00:33:41
They're not arbitrary decisions.
683
:
00:33:43
This is the framework, and there's
all the criteria that we use.
684
:
00:33:47
So when we say we're making that
feature or that thing, here's
685
:
00:33:50
all the reasoning behind it.
686
:
00:33:51
Imagine a new research project where
you would say, we praise, uh, resilience
687
:
00:33:56
because we don't, this is research, right?
688
:
00:33:58
We, we think we're going to start off
answering X and we can end up answering Z.
689
:
00:34:02
Like the research could pivot at
some point because it's research.
690
:
00:34:04
No idea where it's going to go.
691
:
00:34:06
However, we will always make that
pivot decision based on this value
692
:
00:34:11
so that, you know, when we pivoted,
it wasn't a random decision.
693
:
00:34:14
It's because this is our value.
694
:
00:34:16
We always go this this route,
but I've never been on a research
695
:
00:34:19
project where that's been
696
:
00:34:21
Geri: yeah.
697
:
00:34:21
Graham: clearly transmitted.
698
:
00:34:22
I think we're discussed.
699
:
00:34:24
Like values.
700
:
00:34:24
Maybe you do it.
701
:
00:34:25
I don't know.
702
:
00:34:25
Geri: Because it gives, um, in having
that discussion up front, it also
703
:
00:34:29
gives the team a shared language.
704
:
00:34:31
You know, it's not just up to the leader
to be responsible for implementing that.
705
:
00:34:36
If it's a, if it's a process that
they've all been to, they can have
706
:
00:34:41
that discussion with one another.
707
:
00:34:42
How does this fit with
this value as sense checks?
708
:
00:34:46
Graham: I'm pleased
you mentioned language.
709
:
00:34:48
The root cause of why most people
get a different result than my game
710
:
00:34:52
vision alignment check is language.
711
:
00:34:54
So these terms are kind of, people
think they know what it means
712
:
00:34:57
because they came from a certain
studio or a certain research group.
713
:
00:35:00
And everyone's from a
different discipline.
714
:
00:35:01
Sometimes you have a manager or
a researcher or people who change
715
:
00:35:04
careers or like anything can happen.
716
:
00:35:06
So just clarifying language, uh.
717
:
00:35:10
Going back to the root cause.
718
:
00:35:12
One of the problems with mental
models is the language and
719
:
00:35:15
the other one is structure.
720
:
00:35:16
So the structure of the mental model
is not sufficient and the language
721
:
00:35:19
they use to describe the structure
is not sufficient or it's ambiguous.
722
:
00:35:23
So again, being general on what's
transferable, whenever you've got
723
:
00:35:26
a mental model for your research
group, it's What is the structure?
724
:
00:35:30
How do we think about this research group?
725
:
00:35:31
What's the cues?
726
:
00:35:32
What's the bits I'm using to
describe this research group?
727
:
00:35:35
And how do I define those terms?
728
:
00:35:37
And do we all do that in the same way?
729
:
00:35:39
I bet you it's unlikely to happen
in a, even in a small group, you're
730
:
00:35:43
unlikely to be aligned on that.
731
:
00:35:44
Geri: Yes, I agree.
732
:
00:35:46
And I see encouragingly increasing
efforts to have team charters and
733
:
00:35:52
things that sort of try to spell out
some shared understandings that I
734
:
00:35:57
think are getting better at somehow
articulating some shared values.
735
:
00:36:03
But I don't see the work being
done to operationalize them into
736
:
00:36:06
then, how does that play out
practically in our decisions?
737
:
00:36:10
And also not revisiting them
because a lot of these things
738
:
00:36:14
emerge in the doing as well.
739
:
00:36:16
And it's, how do we have
periodic checkpoints to say,
740
:
00:36:19
how are we going in this?
741
:
00:36:20
Do we need to revise, you know, what
new language challenges have emerged?
742
:
00:36:25
Um,
743
:
00:36:26
Graham: You reminded me of a famous
model of culture by Schein, S C H E I N.
744
:
00:36:32
And he says, it's at the pyramid,
if you Google it, you'll see.
745
:
00:36:35
But at the top level, it's what people do.
746
:
00:36:37
And then at the next
level is what people say.
747
:
00:36:39
So they'll say, Oh yeah, we're
very resilient around here.
748
:
00:36:42
We're always happy to change,
you know, and go for evidence.
749
:
00:36:45
But the bottom there is beliefs.
750
:
00:36:46
It's very hard to see beliefs, but the
method he advises and how to, detect if
751
:
00:36:52
a belief is being broken or are present
in your, in your studio or cultures.
752
:
00:36:56
If you say something and somebody
has an immediate and usually negative
753
:
00:36:59
reaction, then you know, I've touched.
754
:
00:37:02
Some people say touch a nerve is
the way of colloquially saying
755
:
00:37:05
it, but you've touched someone's
belief that's held so strong that
756
:
00:37:09
that will, that's hard to change.
757
:
00:37:11
So if you're in a meeting and someone
says something and someone has a strong
758
:
00:37:15
negative reaction, you're touching
on their belief, the cultural belief.
759
:
00:37:18
And you know, flags
should go up in your mind.
760
:
00:37:20
There's something here I need to pay
attention to because that's going to be
761
:
00:37:24
very hard to change if it ever changes.
762
:
00:37:27
I've seen it a few times in
the game industry, usually in
763
:
00:37:29
association with money, when
the four day workweek come out.
764
:
00:37:32
I remember asking a question like, how
would you change to a four day workweek?
765
:
00:37:36
And the reaction was
immediate and negative.
766
:
00:37:38
It was like, we would never
move to a four day work week.
767
:
00:37:40
And I realized right then,
that's their culture.
768
:
00:37:42
And they don't want to challenge it, or
query it, or explore other models, or
769
:
00:37:46
other ways, or how to be more efficient,
or, they're not, they don't want to do it.
770
:
00:37:50
Until something significant changes.
771
:
00:37:51
New leadership, or they're
forced to in some way.
772
:
00:37:55
But that's interesting,
you know, that lower,
773
:
00:37:57
Geri: It is interesting and we're often
not very good at reflecting on what's
774
:
00:38:00
the belief underpinning that reaction,
that strong reaction that we have.
775
:
00:38:05
Graham: Beliefs are hard, yeah.
776
:
00:38:07
Geri: Yeah.
777
:
00:38:08
Graham: Hard to detect, but again, they're
the ones that are, mostly holding a
778
:
00:38:12
group back, a team back, is the beliefs.
779
:
00:38:17
Geri: So this isn't the end of Graham.
780
:
00:38:21
I went on from here to ask him about
writing his book, and there's just
781
:
00:38:28
so much wisdom and insight in the
way that he talks about that both the
782
:
00:38:34
art and the practice of getting into
writing, that I thought it could be
783
:
00:38:39
really useful just to pull out into
its own short episode because we all
784
:
00:38:43
are writing in various different ways.
785
:
00:38:49
As a hook here is the question
that I started off asking Graham.
786
:
00:38:58
You said before about after you sold
the company and you went away on
787
:
00:39:02
holidays and you sat there and wrote
a book or started writing a book.
788
:
00:39:06
Talk us through the book, you
know, both the writing process, you
789
:
00:39:11
know, what lessons we might learn.
790
:
00:39:13
So I know that for many academics,
they have a book in them and it
791
:
00:39:17
can be, feel really daunting.
792
:
00:39:19
And also the decision to make
it free and not try to get a
793
:
00:39:23
publisher and make money from it.
794
:
00:39:28
So I invite you to keep an eye out for
episode three, where you can hear Graham
795
:
00:39:32
talk about his very practical tips around
writing and his decisions for how to
796
:
00:39:38
write an impactful, actionable book.
797
:
00:39:42
Insights that I think can be
useful for all forms of writing,
798
:
00:39:46
not just in the book genre.
799
:
00:39:54
You can find the summary notes, a
transcript and related links for this
800
:
00:39:58
podcast on www.changingacademiclife.com.
801
:
00:40:03
You can also subscribe to Changing
Academic Life on iTunes, and Spotify.
802
:
00:40:09
And I'm really hoping that we can
widen the conversation about how
803
:
00:40:12
we can do academia differently.
804
:
00:40:14
And you can contribute to this by rating
the podcast and also giving feedback.
805
:
00:40:19
And if something connected with
you, please consider sharing this
806
:
00:40:22
podcast with your colleagues.
807
:
00:40:24
Together we can make change happen.