Video summary
The video explores the common myths surrounding community building and architecture, arguing that successful communities are not built on intuition alone but on established principles from sociology, psychology, and economics. The speaker debunks the idea that "build it and they will come," demonstrating through research that specific requests to named individuals yield faster responses than broadcasting into a void, a phenomenon known as the "someone else's problem field." Furthermore, the concept of social proof is highlighted as a powerful subconscious driver where people are more likely to contribute or follow norms when they see others doing so, suggesting that communities should actively design for these behaviors rather than assuming individuals act purely independently.
To further enhance community engagement, the presentation emphasizes the critical importance of goal setting and progress tracking. Citing studies on movie review communities, the speaker illustrates that setting specific, even unrealistic, targets significantly outperforms vague instructions to "do one's best." This principle extends to community events like hack days, where providing clear baselines, deadlines, and real-time progress bars can motivate participants much more effectively than simply asking for availability. The argument is that communities must be intentional about measuring their own success and displaying this data to harness the psychological benefits of having a defined target to strive toward.
The discussion also addresses the counterintuitive nature of enforcing conduct and managing new users, challenging the assumption that harsher penalties are always necessary for prevalent bad behavior. Research indicates that drawing attention to a widespread negative norm can sometimes reinforce it, whereas offering a "way out" or a private path to correction allows individuals to save face and correct their behavior without doubling down on the issue. Additionally, while barriers to entry like initiation rituals can increase long-term engagement by making members value their commitment more highly, they inevitably reduce the total number of participants; therefore, established projects with strong community teams should prioritize lowering these barriers to foster a wider contributor base, whereas new projects might temporarily use them to ensure quality and retention.
In conclusion, the speaker urges community architects to move beyond anecdotal evidence and embrace data-driven design choices that leverage human psychology. By understanding concepts like descriptive norms, social proof, and the dynamics of newcomer integration, leaders can create more effective and sustainable environments. The talk recommends further reading on topics such as intrinsic versus extrinsic motivation and the specific challenges of managing diversity and disorder introduced by new members. Ultimately, the message is that community building is a deliberate science where explicit choices about how we reach out, set goals, and handle conduct will lead to better outcomes than relying on myths or hoping for organic growth.
Read the full video transcript
content, my content, right? It should
should be fine. Should be I want the
speaker notes because there's some extra
stuff that's not in the slides. All
right. Well, let's let's uh let's get it
going then, shall we? So, build it and
they will come and other myths. Um I
this title has a long history because
I've been trying to work out how to
message this content for a long time. Um
and what we're going to talk about here
is uh quite a lot of things actually. Um
there's a lot I could talk about. Uh but
this is what I've chosen to talk about
with you here. Uh and thank you to Eva
for the long slot uh to cover it. less.
Thank you for putting it at the same
time as the CL AMA, but what can you do?
So, this is what we're going to talk
about. There are many things we could
talk about within the world of community
building and community architecture. Um,
and I'm I've picked these four as I
things I think we should think about.
But before I get to that, why should you
listen to me, right? Um, well, the
answer is you shouldn't. Uh, I could be
anyone, right? Uh, who am I? I am a
longtime Red Hat employee. I have been a
community architect for about the last
10 years uh with satellite with anible
with bunch of other things. Um but I
just recently joined Fedora on the CL
team. So I'm now back to being a CIS
admin. Uh so anyone the point I want to
make is that we have enough anecdote in
the community building world. There are
any number of books and blogs and essays
that you can go and read on what worked
for me and that's good. There are talks
at this very conference of that nature
and they are good too. That stuff
matters. We should absolutely listen and
learn from each other. But at some point
we have to say what do we know from
research? What do we actually know from
having done experiments and done
investigations into how communities
work? And so that's what I want to talk
to you about. That's what I want to to
understand and to try and pass that
message on that actually there are
things we know. There are things we have
studied. Some of my examples are older
than you might think. And we can use
them. We can use them to design our
communities. We can be much more upfront
about how we build our communities,
about the choices that we make as
community architects, as community
leaders, whether that's at the top of
the project with Jeff or at any point
further down or some other project that
you're involved in. There are things we
can use. There are choices we can make.
And we can be much more explicit about
how we do that.
So let's get into it then and we'll
start with the title slide. Build it and
they will come. No, they won't. It turns
out to be much much much more
complicated than that. Let me
demonstrate. Someone give me a number.
>> Thank you. That took about 3 seconds. Um
and that was because there's not very
many people in the room. You do it in a
bigger room, it takes longer.
Um and if I said Kevin, give me a
number.
>> See that was two seconds. That was
quicker. Now why am I doing this? Well,
you can probably guess, right? So I'm
I've got the example here. If I want to
get something done in my community,
right, how do I go about getting it
done?
Well, there's been research, it turns
out. Um, and I have to press the button
on both laptop and on this as well. So,
this is research been done 25 years ago
now. Uh, but in an online chat room, who
recognizes this behavior, by the way, in
an online chat room, requests for help
are answered 50% faster when a recipient
is addressed by name. Anyone seen that
behavior?
Yeah. Yeah. A lot of nodding around the
room. Um yes, it is absolutely true that
if we name people, if we ask for help
from the right people, we are going to
get a better result. Now, I will just
draw attention to the plot. Um that only
goes up to 20 people. I don't think
that's linear. I think that pretty much
tops out after about 50 people. And
also, the response time appears to be
measured in seconds. I don't think
that's necessarily correct. That might
be a typo in the paper. I think it's
probably more like minutes. But
nonetheless, I think the result does
hold. And from our own experience, I
think we would agree with it. Right? So
this is this is me trying to give you
something that to to say, look, this is
something we've experienced, but there
have been studies done on this. Right?
Now, this is 25 years old. Right? But
the point here is that we if we make
specific requests to the right people,
we're going to get a better result.
Right? If we just broadcast it into the
void, doesn't really work. And and and
what does that mean for us? If we're
designing our communities, that's what I
started up front. I said we can be more
designled in how we build our
communities. What does that mean for how
we put things in newsletters? What does
that mean for how we put out calls for
help on social media? What does it mean
when we do at room in a in a channel?
Right? Actually, if we know if we have
better data on who's active at the
moment, who might be receptive to a
specific task and we can reach out to
them and say, "Hey, you're up and
coming. We've got something that needs
doing. Would you be interested in
helping?" You're going to get a better
result out of that. Now, it turns out
that two 25 years is actually really
new. Um, there was some research done in
1968 on this, and I loved finding this
paper. Um, so it turned out that if you
have someone and you're doing CPR,
there's been an accident. Um, you're
doing some first aid, you're doing some
CPR, and you shout, "Someone call an
ambulance."
The bigger the group, the less likely
anybody will actually call an ambulance.
And this is what 50 plus years old now.
this research and we can all relate to
it, right? Because it's the same problem
just we see it online but it turns out
as humans we just we just do want to let
other people do things. Douglas Adams
famously called this the someone else's
problem field. Right?
So we we have that problem and if we and
and this scales again go back to the
graph on the previous slide. This scales
with the size of the group that we're
addressing and we have hundreds if not
thousands of people in our groups. So we
need to think about this right we need
to be much more um aware of that problem
and say well just addressing everybody
is going to lead to almost everybody
saying that somebody else will deal with
it. It's not going to work right. Um
this actually shows up in a whole bunch
of other stuff. Um there's a whole model
of social persuasion uh from 1981 uh
which uh looks at not just the
immediiacy of the number of people
around you but also the influence of the
people asking you to make the request.
Um if you identify with them, you're
going to get a better result. And there
was some research in 2008 on get out the
vote campaigns. Turns out that h if you
send people door too and knock on doors
and ask them to vote, it is even
accounting for the vastly higher cost
far more effective than leaflets and
emails and banners because it's mass
appeal, right? It's the someone else's
problem field again. So we know this. So
let's use it, right? Let's use this in
our communities. Let's use this in our
decision- making. Get it in front of the
right people. Who the right people are,
that is a different problem to solve,
right? And that's where we have to have
better data. That's where we have to
have better understanding of of what
we're dealing with.
Okay. So, going to move on to myth
number two. And I'm that one's quite a
quick one, right? Because I think we all
recognize it. We've all been there. The
next one's another one where you've
probably been there. And then the last
two are slightly more interesting and
perhaps counterintuitive. So, let's talk
about myth number two. Sadly, I couldn't
come up with quite as many pathy funny
titles for the other myths, so you'll
just have to live with that. Um, so
people contribute according to their
time, skill, and alignment. That's
alignment to the project. This is not
D&D. I'm not talking about them being
neutral good. Um, this is this is not
true. Well, it is true. Of course, it's
true, but it's it's nowhere near nuanced
enough, right? There's there's so much
more going on here. And this this leads
us to talk about one of my favorite
things.
What I'm what I'm taking you through
here, I should have said this at the
beginning, is a bunch of research that
comes from sociology, comes from
psychology, comes from economics, and it
comes all together in online
communities, right? We have to consider
all those things when we build a
community. And one of those concepts is
a thing called social proof. Press the
right button. There we go. So, people
follow the lead of similar others is the
is the formal definition that comes from
Kildini in 2001. Um, but that's not a
particularly intuitive statement. I
don't I think I need to explain it a
little better. Um, we tend to want to
follow other people in the sense that we
don't want to be caught out. We don't
want to be the only one doing something.
So, I gave that example earlier where I
asked for a number and it takes a moment
before anyone will answer because no one
wants to be the odd one out. Right now,
I really need to make a point here. When
we talk about designing communities,
we all like to think we're super
individual. We all love to think we
can't be told what to do. And
particularly in the tech communities,
we're all completely indie different to
all everybody else. Um we don't follow
normal rules at all and that's fine and
that's true. But as soon as you put a
bunch of us together, then all the usual
human psychology applies. And that means
as a group, we can design around likely
outcomes. Sure, there are going to be
people for whom that outcome doesn't
work, but on mass and the bigger the
group, the more it will hold, right? And
social proof is a great example of this.
Um, and that number example is is is a
very simple one, but I'll give you
another. Think about um network effects.
Okay, think about not wanting to move,
getting your friends off of Facebook or
some random social network, right? You
can't get anyone to move until someone
else moves, right? That's the network
effect. This is the inverse of that. I
don't want to be the first one. And it
works incredibly well. Um, there's some
some fantastic example of this in our
communities. Think about a forum, right?
How many times have we posted a
discussion topic and got nothing?
Because no one wants to be the first one
to reply because they might be the only
one to reply. And that's the thing that
we're risking. Now, I want to be clear,
it's subconscious, right? It's not we're
not actually sitting there going, "Oh,
nobody else might reply." No, it's not
at that level, but it is a subconscious
thing. We don't like being the odd one
out. We are heard animals, right? And
so, we've got to think about this social
proof thing because it applies to
forums. It applies to discussions that
we have in other places. It applies
again to the calls for help. It it's
it's all over the place. Um, think
there's so many examples to this. Uh,
think about political parties that start
their membership numbers at 10,000,
right? Because they don't want to seem
small. Think about has anyone ever seen
a teleathon that started at zero dollars
raised?
No. Because you're not going to put go
on TV and say, "Hey, are you going to be
the first person to contribute to our
project?" No. You're going to say, "Hey,
we got $100,000 already. who's going to
double it by the end of the program,
right? You've got to give people some
idea that they are already part of a
group, even if it's not actually true.
This this goes on everywhere in our
hotel. Actually, I checked and this
hotel doesn't do it, which is kind of
annoying. Um, pretty much all hotels
will will say, "Hey, you should save the
planner and reuse your towels, right?
And not like if you hang them up, then
we won't wash them and if you leave them
on the floor, we'll change them, right?"
They all do that, but some will say
things like,
"People who stayed in this room reuse
their towels." And that's now appealing
to the social proof thing because the
people like you, people who chose the
same level of room as you, people who
chose this hotel the same as you, they
were the ones reusing their towels. And
it turns out it's vastly more effective
if you look at the rates of people
actually doing this. when they start
making appeals based on people similar
to you, then you get better usage of of
people taking up that offer or taking up
that that behavior. So, this matters
amazingly well, but I want to park it
for a second. I'm going to talk about
how we designed that into our community,
but I need to add something else to the
mix first. So, let's talk about goal
setting. Nobody wants to talk about goal
setting, but we all all our companies do
it, right? I know I have to do it,
right? I have to every quarter I have to
be like what what are my goals for this
quarter, right? Turns out there's a
reason for that. It's really really
effective. So here's a nice review that
I really really like. Um this was taken
from a movie review community. Um now
this is quite an old example. Again,
it's from 2004. The internet has
changed, but humans haven't. So what
happened here? This is a community that
reviews movies. And so what they did was
an experiment where they sent out emails
to different cohorts and they said,
"Okay, this group here, uh, we're we're
doing a drive. We're doing a hack day.
We're doing call it what you like. Um,
we want to review as many movies as
possible. You do as many as you can. You
try and do eight this week. You can do
16. You can do 32. You can do 64."
Right? Turns out that even even
completely unrealistic targets
outperform just telling people to do
their best.
Um, I mean, 64 movies in a week, no
chance, right? And of course, it isn't
the highest, but I I find it incredible
that 32 did the highest. They didn't get
to 32. Of course, they didn't. That's
still a heck of a lot of movies to watch
in a week, but they did manage to do a
lot more than all the other groups. And
this has been shown again and again that
picking targets and trying to get people
to go for them really matters. But
here's the thing, we don't do it, right?
We don't do it in our communities. So if
goals are more effective and you also
need progress, right? You also need to
understand how you're doing on your
goals. It's not just enough to set a
goal. You have to know if you're getting
anywhere near it. And I will take issue
here. I have no idea how we're doing on
Fedora's contributor strategy. I don't
know if we're going to double it by
2028. I don't know what the progress is.
So how are we doing? It's it's important
to be able to measure that stuff, right?
So let me get back to what I promised
then. Let's talk about the design claims
here. If we're going to do a hack day,
if we're going to do a test day and we
we're now aware of things like social
proof and goal setting, let's use it.
Let's set a goal. This is how many bugs
we want to get done, right? Can be
unrealistic. It's fine. But also, don't
start from zero. Don't lie. Don't make
stuff up. But how many did we do last
week? Right? That could be a good
baseline to say, "This is how many we've
done in a week. How many can we get done
in the test day?" And give the feedback.
Give the progress. Where's the progress
bar? Where's the bot that says, "Hey,
this many bugs have been closed so far
this day." We don't have any of that.
And it would make these things far more
effective if we did. So that's design
claim number two. Yes, people will have
time and availability,
but you also need to set them up for
success, right? You need to be able to
say this is the deadline, this is the
goal, this is the progress.
Okay, so I am running way ahead of time,
but that's fine because uh I mean
this this happens all the time. This
goes back to the the fundraisers and the
teleathons and things, right? You've
always got that that thermometer thing
going on that's raising as they get more
money and so on. Um, it works. It really
does work and we should be using it. We
can be good hackers. It's an hour
session. It's not 10 minutes.
Okay. So, number three, enforcing
conduct scales with behavior frequency.
What do I mean by that? So this is my
example of something that is
counterintuitive. And I definitely got
this wrong when I was running u previous
communities. Um let me let me explain
what I mean here. If something bad is
happening, we should do more things
about it if it's getting worse is
basically the statement here that the
more prevalent the behavior, the harder
we should come down on it is is
basically the the myth here. And that's
counterintuitive, right? You absolutely
feel like you should be harsher about
things. And I'll explain why. Okay, so
first of all, I need to defend something
important. Codes of conduct really
matter. Now, this is not as
controversial statement as it once was a
few years ago. I think we've largely
dealt with that and Fedora certainly has
has had uh has that sorted. But it is
important because it turns out that if
you if you look at justice theory, if
you look at these studies, it matters.
Research on on fairness suggests that
online community members are more
satisfied with moderation decisions if
they know how they got there. if it
wasn't just completely arbitrary, right?
And it's even better if they had a
chance to join in with creating that
code of conduct and those rules and
those processes. Right? Now, that's
difficult and sometimes it takes the
time of moderators or even authorities.
It's not always practical, but largely
if you can build that code of conduct
together, you're going to get more
complaints with it. And that might head
off this whole discussion that we're
about to have. So, that's that's
important to know first. But I said the
target of this myth was about bad
behavior. So what do we do about bad
behavior? How do we have enforce a code
of conduct? So to to answer this one, I
need to talk about descriptive norms. Um
descriptive norms are the things we pick
up from around us, right? We learn these
behaviors. How many people have joined a
chat room and said nothing for two days
while they see how the room gets used?
Yeah, loads of hands. We've all This is
why I like history basically in Slack,
Matrix, Discord, whatever. The fact you
have history skips that whole two-day
waiting period, right? who you can look.
Um, that is the process of discovering
the norms of the room, right? That is
what you're doing subconsciously. You're
figuring out how people use it so that
you don't stand out. We're back to
social proof again, right? You don't
want to use the room wrong. Um, and so
these descriptive norms desri describe
behavior. However, they can also
describe the behavior that's not
happening. Right? So, a good example of
that is certainly in the UK where I
live, people speeding on the motorway.
Right? The descriptive norm there is
that people everybody does it and and
that's a difficult thing to combat right
but that is what you learn as a driver
is that everybody is doing this. So what
does that mean here? What it means is
that if you can learn norms in either
direction, if you can learn the good
norms and the bad norms, if you draw
attention to norms, you can accidentally
reinforce the other one. So if it's
super prevalent behavior and you make a
big deal about it, then what you
actually end up doing in some cases is
drawing attention to the fact that
everybody is doing this and that makes
the problem worse. And we have we there
has actually been some studies on this.
So this one's from 1991 and what they
did is super interesting. They took um
two different patches of ground and they
did a control in each and what they did
was they looked at littering. So you
have a nice area, nice park. It's clean,
it's pretty, it's got nice flowers,
borders, benches, and you've got a patch
that's considerably less nice and
covered in litter. They paid actors to
do littering in front of the public,
just throw stuff out. And then they
looked at what happened to the public
afterwards and to see what their rates
of littering were once they'd been kind
of their attention had been drawn to the
norms essentially. Right? So in the
clean area, you can see that it actually
goes down. So um the model litters or
the model doesn't. The the plot is
terrible to be honest. You need to go
read the paper. But essentially what
happened is in the in the in the nice
area drawing attention to the fact that
there is no litter here by doing the
littering and people look and go why are
you doing that in such a nice area.
Don't do that. Littering went down for
the public and conversely in the n in
the disused wasteland area it went up
because you're drawing attention to the
fact that everybody does it. What does
that mean for us? be careful, right? If
it's a new behavior and you can stop it
early. This happened with Anible when I
was setting up the Ansible forum. We had
a very excellent community member
posting memes in the new help channel
that had like three posts in it. And I'm
like, I don't want the norms to be set
that memes are acceptable in the help
channel. So, I immediately made a big
deal of moving that to the social
section of the forum. These days, I
wouldn't because the norm is already
there. You can already see that the help
channel is not full of that kind of
content and that's not where we do this,
right? We have a place for that. But if
it's prevalent, maybe don't do that,
right? And there's a really good example
from um from MIT actually. So this um
this is a a story from uh from Greg
Jackson in 1994 talking about the user
um the user account policy which was
basically like this. They would send a
message to to a problem user saying you
or somebody using your account
has been seen doing behavior they
shouldn't. If that was not you, please
come to us and we will help you reset
your account. And if it was you, please
don't do it again. And what was
interesting was in a large number of
cases, the people that came to them were
known to be the problem people and they
still came and got their password reset.
It gave them a way out. And what was
interesting that the theory goes that
what was interesting here is it gave
them a way to save face because quite
often if you call people on their
behavior, they will double down on it.
They will do it again because they think
I am allowed to do this and you are
making my life hard. So, I'm going to do
it again just to prove that I can. All
right. Now, I'm not saying that you need
to always handle that kind of stuff
because
if they're breaking the code of conduct
in a series where you have to deal with
it, right? I am not advocating that we
should let people off lightly. But if
they're in that gray area that is often
the case with misdemeanors and small
small breakages, maybe give them an out.
Give them a way to reset their their
expectations. but make it clear to them
that they are breaking those norms, that
they are not allowed to do that, but you
can do it privately and that works. So,
okay. So, that one's the
counterintuitive one that I definitely
got wrong because I I did in previous
communities come down pretty hard on
some behaviors and it probably didn't
work as well as I would have liked it
to. So, one to think about. The last one
is an example of something where you
simply don't get everything. You have to
choose. So, I I I said at the start we
should be intentional about creating our
communities. This is a good example of
where you can have X or you can have Y,
but you can't have both. And it's about
new users. New users are annoying. They
don't know anything. Uh they have no
idea what they're doing. They make
terrible, terrible change requests. Uh
and they are unfortunately critical to
our projects. So, we have to do
something with them, right? But in a lot
of projects, we have initiation rituals
and we have things like this. And to be
clear, I have heard in person, not just
online, people say thing all of these
things at various times in my history. I
disagree with all of them, but turns out
I don't entirely get to be right about
it, which is annoying. So, I've
definitely heard all of these. I I the
IRC one annoys me the most, but anyway,
um these things are barriers to entry
and we create them. Why do we create
them? Turns out there's a whole set of
theories around this around cognitive
dissonance. Um the idea basically here
is that we think we're rational beings.
We're really not. Um, but we think we
are. And so if we went through a hard
initiation process, if we had to deal
with a whole bunch of stuff, think about
your your fraternity
initiation rituals and things like this,
we think that that means because we're
rational beings, we went through
something horrible. That means it must
have value. Otherwise, we wouldn't have
done that, right? And that's it's again
it's subconscious, but that's the
process. Basically, it's the it's the
realignment between the pain we've
suffered for the thing we got.
Therefore, it must have more value. And
again we've got studies on this. Um so
so this is uh this is the statement
here. People people come to like the
things they suffered for because they
want to be rational people right. Um now
it turns out there were studies done on
this. There's uh community where they
had to do tagging in order to get their
rights. So um some people had to do huge
amount of tagging, some people were
asked to do a small amount. Some people
asked to do no tagging at all. Um, and
it turns out the people who did more
tagging
um, did do more work thereafter. They
valued that thing more and so they came
back to the site more often after their
initiation was done. So in other words,
they are more engaged with the thing
having done the initiation. So those
barriers to entry aren't entirely for
nothing, it turns out. Um, now that has
consequences, right? If you put barriers
in the way of people, there are going to
be consequences. You are going to have
less people in your community. It's just
the way it is. That's a choice you have
to make. You cannot have everything. You
cannot
do both. Now, I personally think that
with Fedora, we want a wide contributor
base because if you've got a good
community team that can take that and we
go back right back to the beginning
about putting the right tasks in front
of the right people, look at the social
proof problem, give them work to do,
give them things to work on, we have so
much that we need to do, we have the
community team there to help direct
that, that's going to work. But if
you've got a new project and you don't
have a strong community team that's
ready to start directing people, maybe a
few barriers to entry will help keep
your applicant cool to the point where
they're going to be engaged thereafter.
Maybe it's I I personally am very much
on the side of let's not have barriers
to entry, but it research suggests that
you can get something from it, right?
So, okay, I have gone really fast, but
you know what? It's the end of the day.
I'm not going to not going to drag this
out for you. Um there is tons we can
talk about in this area, right? I have
not talked anything about motivation and
how intrinsic versus exttrinsic
motivation works. I have not talked um
about
uh oh god so many things. Um but I will
give you some some reading material. Um
if you like any of this obviously you
can come talk to me some more. Um most
of my content here actually comes from
the first link uh building successful
online communities. It's a fantastic if
dense book but it's a literature review
book basically. So all these papers I'm
listing, yes I actually did go and read
the papers. But the point here is that
you can start with that and then spider
off into other areas um uh and and start
thinking about other things. It's a
really really really good read. Um
social architecture from Peter Hingens
um dearly missed. He he passed away from
cancer a couple years ago. Um but he was
he was very good in the zeroq community.
That book I would say it's really short
if you're just looking for a short read.
It's it's very very good. The first two
chapters are pure gold. They were what I
gave to the whole responsible community
team to read because they needed to. Um
the last two chapters little extreme but
uh but worth a read and um architectural
participation for the Red Haters in the
room if you go and read that p that's a
paper and not a book um if you go and
read that you can see the history of Red
Hat written in that paper without it
being mentioned once because it's a it's
an abstract paper about modularity
versus monolithic uh work uh and the and
the price of participation and uh and
how community competes with with
commercial entities. But you you can
absolutely see um the history of Red Hat
in there.
Okay, I am not going to hold you here.
Uh I think we should all go and like
have more coffee and dinner and things.
So um so let's let's wrap it up. Right,
the these are the slides. If you want
them, that's me. If you want me, that's
my matrix.org account. Anyway, um
because I forgot to change the QR code,
I will be glad to discuss any more of
this with you um over a beverage of some
kind, but in the meantime, I will stop
it there. So thank you very much. Any
question?
>> Well, yeah, thanks. That that's a pretty
obvious question, I think. But what
would you advise the federal project to
do
in the short, medium, or long term?
>> Um,
>> more precisely,
>> that's true. We do still have half an
hour. So, I think
>> so I kind of called it out earlier,
right? Um I don't think we have enough
visibility into how we're doing with our
with our overall strategy. So that go
that calls back to the goal setting. It
calls back to the progress. Um like we
we have an ambitious strategy. Good. But
how are we doing? I don't know. And I
don't know do any of us know. I don't
know that we've even decided how to
count it. So um that is one thing I
would absolutely look at. Uh and I would
I would look at um
I think the new contributor stuff. Is it
possibly not what I was talking about
here so much? Because we are an
established project. We know what we're
doing. We have a good community team.
But you can always do better with
newcomers. Um there is a there is a
whole whole thing you can talk about
with newcomers. You could do a whole
talk on that because there's bless you.
Um there is a there's a whole set of
dynamics around newcomers because they
represent a and again this is all
subconscious, right? But they are a
threat in a sense, right? They bring
disorder to the project. they challenge
old ways of doing things. Um this is to
some degree present in diversity stuff
as well which is important and matters
but just from a psychology point of view
we have to recognize that that brings in
its own challenges right. Um so how you
manage that how you bring people in
without um completely disrupting things
is an interesting problem to solve and
we could look at we could always do more
in that area. Um what else would I say?
Motivation is an interesting one again
that we didn't talk too much about, but
intrinsic versus exttrinsic motivation
is a super interesting topic. Um,
knowing why people are in your community
and what they are trying to get out of
it. It's something I suspect we don't
have a great handle on. The survey is
open now, by the way. Go fill it in.
Tell us why you're interested. But, uh,
but it is a hard problem to solve,
right? Uh, we know from studies that
people value feedback from people like
them the most. So this is for example
why bots in GitHub repos don't achieve a
great deal because people know that's
not a human. But even like when you're
at school and the teacher is praising
your work, you know it's because they
want more work from you, right? So that
doesn't hold as much value either. So
how how we how we give respect, how we
give feedback, um these are all
important things as well.
>> New contributors
Anyone else?
Or should we wrap it soon?
All right. Stunned you all into silence.
All right, then. In that case, thanks
very much. Let's go get dinner.