Episode Transcript
Transcripts are displayed as originally observed. Some content, including advertisements may have changed.
Use Ctrl + F to search
2:00
leaders, mastering customer research,
2:02
AI for product managers, and more.
2:04
There's something for everybody. Courses
2:07
started just $299, and you can
2:09
get access for your entire team with
2:11
a discounted team license. Just
2:14
go to gigantic.is for
2:16
more information. Again, gigantic.is.
2:20
And level up your product team
2:22
today, because we believe that your
2:24
potential is gigantic. OK,
2:27
I've got to admit, when a company like Shopify
2:29
reaches out and says, hey, Mike, we were curious
2:31
if you were interested in getting an early look
2:34
on our upcoming product launch and talk to our
2:36
VP of product about it all for rocketship.fm. They're
2:39
going to get a quick yes. I
2:41
mean, as a product person, I'm always
2:43
interested in seeing all their companies, especially
2:45
super successful ones like Shopify, how
2:48
they manage major product launches. So getting
2:50
a peek behind the curtain, honestly, it's
2:52
one of the reasons why I love
2:54
doing what I'm doing with rocket ship.
2:57
And Shopify has a pretty interesting take
2:59
on product launches as it is. And
3:01
if you go to shopify.com/editions, you'll see
3:03
how they introduce their new products and
3:05
features to customers. They do it in
3:07
seasons with a winter release and a
3:10
summer release. And every release
3:12
has its own theme, its own branding.
3:14
It's packaged up almost like a product in itself.
3:17
I mean, it looks like a list of apps
3:19
when you're on the website almost,
3:21
right? I mean, it's like their own
3:23
little app store, except these are their
3:25
product launches. You click and you're taken
3:27
to a pretty rich web experience that
3:29
goes into great detail on what's included
3:31
in that season's edition. In
3:34
some cases, it's feature updates. In
3:36
other cases, there are
3:38
entirely new products that Shopify customers
3:40
are treated to. Now, this season's
3:42
theme, well, probably shouldn't get too
3:44
far ahead of myself quite yet.
3:47
First, I should introduce you to
3:49
Glenn Coates. Glenn is the VP
3:51
of product at Shopify. He
3:54
leads the development of Shopify's
3:56
core commerce platform, which is
3:58
the storefront checkout. going
18:00
on, right? With AI being so
18:02
early for everyone, I asked
18:04
Glenn what it was like to
18:06
incorporate those AI features into Shopify's
18:08
products. Is it straightforward? Is it
18:10
overly complex? Back to Glenn. Everyone
18:13
is going to go through this thing
18:16
over the next year or two of
18:18
building their first AI enabled features if
18:20
and I'm sure most people have already
18:23
taken stabs at this. I think the
18:25
interesting thing is like the best practices on
18:27
how to build with LLMs and how to
18:29
train models are moving so, so, so quickly.
18:34
That one, you
18:37
have this interesting experience of it's
18:40
really easy to get to quite
18:42
compelling prototypes quite quickly. Like you can get
18:45
to the thing that smells like, oh, it
18:47
kind of it's doing the right thing. It's
18:49
smart. It's cool. You can get to
18:51
that quite quickly. But depending on your
18:54
on your risk tolerance for the for the
18:56
model doing the wrong thing, getting
18:58
from something that's kind of 70% prototype quality
19:01
to 90, 95% production quality is surprisingly difficult.
19:07
And it's very unlike the curve
19:09
that you experience in like more
19:11
straightforward traditional software development to like to
19:13
get to 70% and then you get to 90%. Everyone kind
19:15
of knows what that feels like. That
19:17
part of the curve is like way,
19:19
way, way more brutal in
19:22
in this part of development, which I'm
19:24
sure many people in the audience have already experienced.
19:28
But I think the thing that we are, it's
19:32
hard to keep in mind, but we're trying to
19:34
keep in mind here is that because
19:39
the state of the art is moving so
19:41
quickly, right, because the models are improving so
19:43
quickly, because the techniques of working with the
19:45
models are improving so quickly. It's
19:48
actually a little bit like, you
19:51
have to have this mindset of like, you remember like video
19:53
games when we were younger, where it was like a video
19:55
game would come out like like when doom or quake came
19:57
out. And it's like the
19:59
computer The computer you had at the time Quake
20:01
came out couldn't really run Quake.
20:04
Kind of sucked. It ran at like 10
20:06
frames a second, right? But then you
20:08
would buy a new computer and suddenly Quake's
20:10
amazing. It's running at like 50 frames a
20:12
second, right? And the
20:15
people who made that game, like Carmack and everyone,
20:17
they knew that. They're like, we know that no
20:19
one can run this game, but we know the
20:21
next generation of graphics cards
20:23
and computers is coming, so let's build
20:25
for that. And there's
20:27
a little bit of that going on right now with
20:31
AI, which most web, like web developers
20:33
aren't used to thinking this way. We're
20:35
not like, oh, let's build a
20:38
web app that is terrible
20:40
today, but somehow, web
20:43
browsers will get better in the next six months
20:45
and it will suddenly become really good. That's not
20:47
how it's worked, but we're having to
20:49
do that little, you know,
20:51
skate to where the puck is going thing a
20:53
bit right now, and it's uncomfortable. It
20:55
feels weird. You're like, this
20:58
kind of sucks, but I think it's gonna
21:00
get better soon, you know? Yeah,
21:02
I can 100% relate to that
21:05
feeling, that uncomfortable feeling, where you
21:07
know you're doing the right thing,
21:09
but it just feels hard, and
21:11
you're not quite sure if what you're doing now
21:13
is actually going to make an impact later. That's
21:16
skating to where the puck is going.
21:18
Now, here's the thing. If you've never
21:20
experienced this before, if nothing's felt uncomfortable
21:22
to you, if things always just sort
21:24
of feel easy, you
21:26
might not be doing it right. At
21:28
least, let me put it another way.
21:30
You're probably not making leaps and bounds
21:33
and truly innovating. These early days of
21:35
AI, even at Shopify, it could be
21:37
uncomfortable. That only leads me to
21:39
believe though, that they're taking the big swings, and
21:41
who knows? I mean, they could miss on some
21:43
of these big swings for sure, but if
21:46
they connect, they could be hitting some home
21:48
runs. All right, enough with
21:50
the sports ball references here. I'm
21:52
gonna move on, but I did ask Glenn
21:55
more about that uncomfortable feeling. Get more to
21:57
share on that right here. We're doing this
21:59
for ladies. to
30:00
run their business on
30:02
Shopify and have the vast majority of their
30:04
business data in Shopify. And Shopify is kind
30:06
of the hub that all the
30:08
apps connect to. Again,
30:11
there's this very interesting question of, okay,
30:15
well, where in the stack do
30:17
you integrate the AI? How
30:20
does that AI join the dots between
30:23
the different apps
30:25
and features of the platform? And
30:27
how do you make it in your
30:30
dev platform? How do you make it possible
30:32
for the apps to expose enough data
30:35
and capabilities to each other so that
30:37
that AI that's sort of sitting in
30:39
the center can pick
30:43
the right tool for the job and even join
30:45
multiple tools together to complete a
30:48
multi-step job? And
30:51
I think that's the interesting part that as
30:53
we move down the road with Sidekick and
30:55
as we sort of invest in that part
30:58
of the platform, I think
31:00
there's just a lot of headroom
31:02
there that remains to be
31:04
explored. We're almost out of time here,
31:06
but I did ask Glenn to wrap
31:08
up our conversation with final thoughts for
31:10
product people and product teams. What
31:13
does this all mean for product people? What
31:16
should product people be thinking about as they
31:18
move forward? Here's Glenn's final
31:20
parting thoughts for product people. We
31:23
are really, really,
31:25
really doubling down on the value of
31:28
having a tightly integrated product. And I
31:30
think this is an easy thing for
31:32
product managers to sort
31:35
of forget to dot their I's and cross their T's
31:37
on. It's easy to
31:39
think about shipping the new feature. People
31:42
tend to forget to budget for the,
31:44
how do I make sure this new
31:47
thing works super well with
31:49
all the old things? That's the kind of
31:51
unsexy part of the job, but
31:53
it matters so much to users. And
31:56
so if there's
31:58
one thing for product managers, to take away
32:00
that lesson. And then
32:03
I guess I would also say
32:05
like this is an interesting time for software
32:07
teams to experiment and
32:09
learn with this new tech
32:12
of AI and LLMs. Nobody really has all the
32:16
answers yet. We're still figuring stuff out all
32:18
the time and we think
32:20
we are sometimes we're we can't get
32:22
something to work and we're really frustrated
32:24
and we think oh maybe we're behind
32:26
here and then we go and talk to you
32:29
know our partners at open AI or Google
32:31
or you know anthropic or
32:33
whatever and you know they're like oh no you
32:35
guys are like right
32:37
on the cutting edge like no one's doing the stuff you're doing
32:40
and we're like oh wow okay well I guess
32:42
I guess everyone's figuring this out. So I guess
32:44
if there's another message it's like be
32:47
a part of figuring it out because this is
32:49
a great time to sort
32:51
of you know learn
32:53
the nuances and the weirdnesses
32:56
of these new tools and
32:58
and how to and how to incorporate
33:00
them. All right that's going to wrap
33:02
things up for today. I just want
33:04
to give a big thank you to
33:07
Glen Coates and the team at Shopify
33:09
for pulling the curtain back for us
33:11
and giving a glimpse into Shopify's recent
33:13
product launch. You could check out all
33:15
the details on their launch at shopify.com/additions
33:17
but this will wrap things up here
33:19
for now but for Product
33:21
Collective I'm Mike Bellsido and this
33:23
is RocketChip.fm.
Podchaser is the ultimate destination for podcast data, search, and discovery. Learn More