0:00
without any further delay I will
0:02
introduce to you Michael Seibel the CEO
0:04
of Y Combinator the founder of companies
0:07
like justin.tv and twitch and Socialcam
0:11
to begin what is going to be a deep dive
0:14
into product over the next several
0:17
lectures
0:17
Michael so before I begin its kind of
0:31
had a conversation with Jeff and I and I
0:33
wanted to say a couple of things about
0:35
my experience at justin.tv and and
0:39
twitch so what I will say is that we
0:43
broke many if not all of the rules that
0:46
are about to tell you at various points
0:50
during our company the things that
0:55
allowed us to survive were one our
0:58
founding team was extremely technical
1:03
Justin Emmett and Kyle all were amazing
1:09
to work with and basically what I found
1:12
amazing about them is they were not
1:13
intimidated by any technical challenge I
1:17
think that I would not be standing here
1:19
if I wasn't
1:22
privileged to work with them and so I
1:24
think this is something that a lot of
1:26
companies a lot of startups a lot of
1:29
sort of founders don't truly understand
1:31
like that fact allowed us to break a lot
1:34
of rules the second is we didn't spend a
1:36
lot of money we moved out when we were
1:40
21 22 22 and 23 we lived in a
1:44
two-bedroom apartment that apartment
1:48
cost $2,500 a month we were each given
1:51
$500 a month walking around money which
1:54
technically is against the law because
1:56
it was below minimum wage but who cares
1:59
about laws and that was it that that was
2:04
the game
2:05
Emmett got his own bedroom Kyle and
2:07
Justin slept in bunk beds I slept in the
2:10
living room and sometimes on the balcony
2:12
we just didn't spend
2:14
much money that gave us a lot of ability
2:17
to screw up and make mistakes and then I
2:19
say the last thing that was kind of
2:20
interesting I only realized later is
2:22
that our ego was highly tied to our
2:26
startup we were not doing a startup to
2:30
have a cool resume item it was really
2:32
the only thing we had done on our own
2:34
and so I think at various points during
2:37
the company when it looked like we would
2:38
fail basically our startup failing was
2:41
our life failing right it was like well
2:43
this is the only thing you've done so
2:45
far and so if it fails you get F on life
2:47
and I think that we all had that feeling
2:51
very internally and therefore we just
2:54
couldn't really conceive of giving up so
2:57
I think more than anything I want to say
2:58
in the rest is presentation those were
3:00
the three things that saved our company
3:02
made our company work and strangely I
3:05
don't even think if you take one of
3:07
those things away any one of them we
3:09
would have died so this isn't one of
3:11
those things where it's like oh you can
3:12
grab for one or two and that's pretty
3:14
good we needed all three or else game
3:16
over so as I get into product I'm gonna
3:20
tell stories from justin.tv from really
3:25
early days at which when I was still
3:26
there and then also from a YC company
3:29
from a couple batches ago named poppy
3:31
it's a company that I've advised since
3:33
so invested in did YC great founder name
3:36
off knee and weirdly I just feel like I
3:40
needed to do a case study outside of my
3:42
own story somehow it's gonna help share
3:45
these lessons a little better so I
3:49
always like to start with what problem
3:51
are you solving because when I'm pitched
3:54
by founders most often they just want to
3:56
tell me what their idea is what they're
3:58
gonna do what their product does I think
4:00
what's interesting is that like
4:03
oftentimes they don't even know why they
4:08
don't know what's the problem that they
4:10
expect to be solved at the end of what
4:12
they're doing now I think that for some
4:14
businesses is totally fine
4:15
right I think that especially if you're
4:19
early on especially if things are still
4:21
in project phase whatever but I think at
4:24
some point pretty early on you have to
4:26
figure out
4:27
what are we doing and what do we expect
4:31
the result to be so at justin.tv the
4:34
first thing the problem we were solving
4:36
was entertainment we were making TV
4:37
shows Justin was the first one broadcast
4:40
his live 24/7 this was to be a TV show
4:42
so actually pretty easy for us to
4:44
understand whether that was working or
4:44
not is anyone watching right that's the
4:47
problem we were solving people watch TV
4:48
shows no one was watching so we didn't
4:51
solve the problem then when we pivoted
4:53
to an open platform the problem became
4:55
can we let anyone broadcast live but
4:59
that was problems trying to solve anyone
5:01
can broadcast live on the Internet and
5:03
once again once we understood that it
5:06
was very easy for us to judge whether or
5:08
not someone could do it we had this open
5:10
platform as anyone using it but I think
5:12
that like that was key to what we were
5:13
doing and then sometimes when I talked
5:15
to founders there's something they want
5:17
to do in the world there's a problem
5:18
that they're kind of vaguely interested
5:20
in or there's an idea that are vey
5:21
interesting but they really haven't
5:22
nailed down what's the actual problem
5:24
we're solving if you don't know the
5:25
problem you can't know whether you
5:26
solved it
5:28
the first thing I asked founders can you
5:30
state the problem clearly in two
5:32
sentences if you can't you don't know
5:34
the problem right in fact it's really
5:36
only take you one sentence so if someone
5:39
asks you a problem you're solving and
5:40
you find yourself delivering an essay
5:42
you're doing it wrong
5:44
- have you experienced the problem
5:46
yourself this is not always required but
5:51
is certainly helpful I've met a lot of
5:54
founders who are trying to solve a
5:55
problem for someone else who they've
5:57
never met never talked to and don't
5:59
truly know whether that person exists in
6:01
the world and so all things being equal
6:04
this is a great hand that you're on to
6:07
something well at least one person has
6:09
had this problem before the next one's
6:12
can you define this problem narrowly
6:15
what's interesting is when you get
6:17
started you can't really solve this
6:20
problem for everyone who has it
6:22
so when justin.tv first started we
6:25
couldn't let anyone broadcast live video
6:27
you had to have a laptop you had to have
6:29
go to internet connection you had to
6:31
have a webcam there are all these kind
6:34
of things you needed and so can we
6:36
actually now talk about all right we
6:39
want to make live video for everyone
6:41
but let's talk about the people that we
6:42
can address first who can we help first
6:45
and I think oftentimes founders kind of
6:48
want to skip that step they want to
6:49
solve the mega problem like I want to
6:51
cure cancer I'm only talking about when
6:54
everyone's cured as opposed to like what
6:56
can we address immediately how do we get
6:59
the first indication that this thing is
7:00
working and then the last one is the
7:04
problem solvable so here's what I'll
7:07
bring up with poppy so poppy is a
7:09
company that's essentially uber for
7:12
babysitting they make it really easy for
7:14
babysitters I'm sorry for parents you
7:16
need babysitter's to get babysitters
7:20
poppy is a very interesting company
7:22
because you need babysitter's for a lot
7:24
of different types of things some people
7:27
need a babysitter five days a week while
7:31
the parents at work right that looks a
7:32
little more like a nanny some people
7:34
need a babysitter whether it's an
7:35
emergency
7:36
oh I have you know I have a medical
7:40
emergency and I need a babysitter right
7:42
now because I need to go to the hospital
7:44
some people need it because there was
7:46
miss planning oh I thought well housing
7:48
was gonna be at this time and it wasn't
7:49
I thought I was gonna be here this time
7:51
it wasn't I need a babysitter some
7:53
people need a babysitter because they
7:55
have an infant right and so this baby
7:57
students have a bunch of skills some
7:58
people need a babysitter to watch their
8:00
15 year old to make sure they don't get
8:01
you know out of the house different
8:03
skills and so what's interesting is that
8:05
if you just start with oh we're gonna
8:08
help people get babysitters it's not
8:11
really good enough to understand what
8:14
you can address right away right which
8:16
one of those use cases do you want to
8:17
address if you were to state the problem
8:19
more narrowly though let's say we wanted
8:22
to start out with infants right we want
8:25
to make it easy for parents to get
8:27
babysitters for infants then we can
8:29
really ask the question is the problem
8:30
solvable I think one of the things that
8:32
poppy discovered when operating their
8:34
business is that the level of skill that
8:36
you need for a parent to trust you with
8:39
their infant when they haven't met you
8:41
is very very high so the idea that
8:45
you're going to have a rotating set of
8:47
people you haven't met watch your little
8:49
baby hard very very hard they have to be
8:52
very skilled and then on the flip side
8:55
uber model only works because there's a
8:57
whole bunch of basically replaceable
9:00
people with a common skill well it turns
9:03
out the people who've got the skills to
9:05
watch infants and make parents
9:06
comfortable with that tend to have nanny
9:09
jobs where they work lots of hours and
9:12
tend to be paid fairly well especially
9:14
in up-and-coming cities and so now we
9:17
have this disconnect where it's like
9:18
well we want to solve the problem of
9:20
infant watching for moms but that talent
9:24
pool who can solve the problem the
9:25
supply of babysitters they might not
9:28
exist problem might not be solvable and
9:31
so going through this exercise in real
9:34
time like with your products out in the
9:36
world you should be thinking about these
9:38
things you should be thinking how have I
9:39
narrowly defined the problem I want to
9:40
solve first and you should be always
9:42
asking yourself is it actually solvable
9:44
I think a lot of founders just don't
9:48
want to think about this because it's
9:49
hard it's hard to think about who you
9:51
want to talk to first it's hard to
9:53
understand oh maybe I can't solve that
9:54
problem I have to move on Abney was a
9:57
mother of two kids and she was really
9:59
pissed she couldn't solve this problem
10:00
because it was her problem but it's
10:03
turned out to be very very hard problem
10:06
to solve you know young infants
10:07
on-demand babysitters all right the next
10:12
question I always ask is who is your
10:14
customer and really you don't understand
10:19
the problem you're solving until you
10:21
understand who you're solving it for a
10:23
lot of times people just want to say
10:25
everyone everyone's the customer right
10:27
and that seems like it makes sense in
10:30
some cases right if you're building a
10:31
social network or a search engine right
10:33
everyone uses those things now what I
10:36
will say is that in almost all of the
10:38
products that everyone uses now there
10:40
was a time when almost no one used them
10:42
and the creators of those products had
10:45
to figure out who is the ideal first
10:47
customer and so if you don't have a good
10:50
answer to this question you're gonna be
10:52
lost do you have no idea who you should
10:54
talk to to ask them whether this problem
10:56
has been solved and you have no idea who
10:58
to talk to to figure out who this
11:02
product is for and I'd be surprised the
11:05
number of founders who are just building
11:07
something as if
11:08
they were writing a creative novel where
11:12
it's just a product of their own brain
11:13
and no interaction with anyone on the
11:16
outside and it's not even problem that
11:18
they're solved that they've experienced
11:19
themselves don't do that don't be one of
11:23
those founders like you can talk to your
11:25
users you just have to figure out who
11:27
they are the next question I often ask
11:31
is how often does your user have the
11:34
problem what's so surprising is when you
11:37
talk through startups with people
11:40
sometimes they choose problems without
11:43
quite understanding who the user is or
11:46
the frequency of the problem so give you
11:48
an example a lot of people will come to
11:50
YC and a popular idea back in the day
11:53
was to build a car shopping website now
11:58
if you guys have been on car shopping
11:59
websites especially about five years ago
12:01
they all basically suck they're they're
12:04
hard to use they're not very transparent
12:05
you kind of want to have this almost
12:07
Tesla experience of just buying a car
12:09
but they never actually work out that
12:11
way
12:11
and what's interesting is that like a
12:13
lot of founders come back to this
12:14
problem
12:15
over and over and over again and they
12:16
always think that their customer is the
12:18
person buying a car now the reality is
12:21
is that when you go buy a car assuming
12:23
it's not a complete lemon you typically
12:26
keep that car for seven years so what
12:28
happens if I told you I'm going to
12:29
create a start-up and if I home run with
12:32
my customer if my [Â __Â ] customer loves
12:34
me they're gonna come back seven years
12:36
from now that's hard it's very hard it
12:41
turns out a lot of the car buying
12:43
websites are not built for the person
12:45
who's shopping for car because that
12:48
person doesn't have a problem very often
12:50
they're actually built for the person
12:52
who's selling a car that person has a
12:55
problem every day every day the
12:57
dealership has to hit their numbers and
12:59
so you don't see as a customer how that
13:03
product helps the real customer the
13:07
person who's trying to sell cars and so
13:09
by doing this analysis I really try to
13:12
push founders in understanding who is
13:15
getting the most value out of this
13:16
product and it's really helpful if
13:18
you're trying to help someone with the
13:19
problem they have frequently
13:21
if you think about the products that you
13:24
use on a daily basis they tend to be on
13:26
the front screen of your phone you tend
13:29
to use them without even thinking they
13:30
become almost extensions of you if you
13:33
think about apps that you've installed
13:34
and then they're kind of on the third
13:36
page in the back or they're buried on
13:38
the second page is some folder those
13:40
tend to be the ones you don't use very
13:42
often hopefully they don't need you to
13:46
use them very often or else they're
13:47
probably not very good businesses the
13:50
next question I always ask is how
13:52
intense is the problem I find a lot of
13:55
founders think they have a good idea but
13:58
they don't do this frequency and
14:00
intensity analysis and so if you have
14:03
both an infrequent and low intensity
14:05
problem that you're trying to solve
14:07
you're gonna have a problem getting a
14:09
lot of customers even interested in
14:11
talking to you um all things we go if
14:14
you graph problems it's nicer for them
14:15
to be higher intensity higher frequency
14:18
let's think about a company like uber
14:19
for example usually when you are
14:22
somewhere and you need to go somewhere
14:24
else it's a pretty intense problem I
14:27
have to go to work I have to go to the
14:29
doctor I have to go pick up my kids
14:31
they're so intense you might have bought
14:33
like a twenty thousand dollar car to
14:36
help you do those things right so it's
14:38
an intense problem and then when you
14:41
think about frequency how often do you
14:43
move more than a mile more than walking
14:45
distance every day happens a lot and so
14:49
if you think about that even though you
14:52
look at the taxi market and you say ah
14:53
taxis unit before Hoover taxis that's
14:55
not that big of a market if you just
14:58
look at the customer you say high
14:59
intensity problem that happens very
15:01
often there's probably a good business
15:03
here the last one is are they're willing
15:07
to pay so many founders who come into YC
15:10
their first thought is completely wrong
15:14
on this front their first thought is I
15:15
need to give it away for free because
15:17
that's the only way I'm gonna get users
15:19
one of the things that I always push
15:21
them to do is think about it this way if
15:23
you want to know whether you have a good
15:26
product it's a lot easier to make it a
15:29
little bit harder for your users to use
15:31
it and then see if they use it anyways
15:34
because if I am
15:36
really intense problem and you say well
15:38
it's gonna cost 100 bucks for the person
15:40
with extremely tense problem they
15:41
probably think that's a deal if you have
15:44
extremely and if you don't have
15:46
extremely tense product problem you
15:48
charge zero dollars you can have a bunch
15:49
of users who come in who don't really
15:51
have the problem but they're just trying
15:54
something out if you try to learn from
15:56
them on how to improve your product
15:57
oftentimes they'll lead you astray so
16:00
strangely starting with a higher price
16:02
or a price is almost always better than
16:05
starting free almost always better and
16:09
if you have to start free you need to do
16:11
this analysis of how do you talk to the
16:14
users where the problem is actually
16:15
intense I talk to the users who are
16:17
using a product frequently in production
16:19
for real-world purposes as opposed to
16:21
the hobbyists talking your customers is
16:24
good but talking to the wrong customers
16:26
very very very bad I've seen a lot of
16:29
companies that are basically hijacked by
16:32
bad customers especially companies where
16:36
there's real-world costs so for example
16:40
you know if you have a company like
16:42
poppy there's real-world costs in
16:44
recruiting managing and working with all
16:46
of these baby sitters and if you have a
16:49
company if you have a customers trying
16:51
to basically take advantage of that
16:53
system being laid being non-responsive
16:55
being rude to the baby sitters that's
16:58
not going to help you run your business
16:59
and you'd be surprised at how many
17:01
hijack customers there are out there the
17:04
last question I always ask people is how
17:06
easy is it for your customers to find
17:07
because inevitably you're gonna need to
17:09
reach them and what's interesting I look
17:11
at the the last batch there are two b2b
17:14
companies one b2b company was here in
17:17
America and it was very easy for them to
17:19
find customers they could basically go
17:20
to LinkedIn find their customers on
17:22
LinkedIn find the name addresses email
17:23
them they get email thousand customers a
17:25
week another company doing b2b was in
17:28
China and interesting enough reaching
17:32
out over email and the b2b context in
17:34
China just isn't - well done practice
17:37
getting access to people's email
17:38
addresses is actually not very hard not
17:40
very easy and so strangely they had this
17:42
challenge of a relatively simple
17:44
business to explain a real intense
17:46
problem that happened often if they had
17:48
no way to reach their customers
17:50
and to basically invent new ways to do
17:52
it and so I often want to ask this
17:54
question because if your customers are
17:57
ridiculously hard to find
17:59
you better have a solution for that
18:00
upfront you can't build the whole thing
18:03
and expect for them to find you and so
18:06
often times you had a situation where
18:09
someone's trying to build a product for
18:11
either an imaginary customer or a
18:13
customer who can't really hope to use
18:15
the product I'm trying to get water to
18:18
people in the middle of a desert in the
18:22
Sahara all you need to do is download my
18:25
app and go online and then they can put
18:29
their GPS location and then we'll
18:30
deliver water to them that's not gonna
18:32
work but you'd be surprised at how many
18:35
people just don't think through those
18:36
logical steps all right next up does
18:40
your MVP actually solve the problem that
18:43
you want to solve this one is so
18:46
hilarious how often it comes up because
18:50
in the process of building an MVP things
18:52
just go weird and squirrely so you had
18:55
this problem and then you started
18:56
building it and then you talked to other
18:58
users and then before long you're
19:00
launching something and then you realize
19:02
it doesn't actually do the thing that
19:04
you promised and even the thing that you
19:05
want to do so part of your process of
19:07
building the MVP it's really helpful to
19:11
do these pre steps first it's really
19:13
really really helpful because then you
19:15
can always gut-check yourself on am I
19:17
actually solving the problem the other
19:19
thing is that it's really helpful to
19:21
build your MVP quickly typically the
19:24
longer it takes the more you're gonna
19:25
have MVP and problem drift or customer
19:28
drift if you decide to only build your
19:31
MVP in two weeks it's a lot easier to
19:33
stay on task and make sure actually
19:35
solving that problem for that customer
19:36
the way you test this by the way is you
19:40
give your product to customers like you
19:43
you have to do that that is a required
19:46
step what I find interesting is that a
19:49
lot of people think of their product as
19:51
a painting as something that could be
19:54
appreciated as a piece of art as
19:57
something that even if it's appreciated
19:59
by one person is special that's not what
20:01
you're making products are not paint
20:04
they're not art if users don't find
20:07
products useful then the products are by
20:09
definition not useful and they're a
20:11
waste of your time to build and I think
20:14
a lot of people want to be artists the
20:18
startup world is very unforgiving to
20:21
artists and I think that interestingly
20:22
after the fact a lot of people are
20:25
painted as artists right like Steve Jobs
20:27
is painted as this like magical artist
20:29
right and the other day he had to figure
20:31
out how to get make a phone that
20:32
millions of people would buy if only one
20:35
person bought the iPhone he would be
20:37
seen as a failure so the definition of
20:40
art is it only has to be appreciated by
20:42
one or maybe even none that's not the
20:45
appreciate that maybe just the Creator
20:47
that's not the definition of a
20:48
successful product so this is what you
20:51
should always be got checking does every
20:53
piece solve the problem the number one
20:54
problem with this question is that it
20:56
hurts the answer hurts you're gonna find
20:59
that a lot in startups where the answer
21:00
hurts you know doesn't solve the problem
21:02
but as long as we don't talk about it
21:04
maybe nobody knows it doesn't solve the
21:06
problem a lot of the answers inside of
21:09
startups are feel that way which
21:11
customers should you go after first a
21:13
lot of founders are very confused by
21:16
this question what I find interesting is
21:21
just like the instinct is to go after
21:23
customers by making the product free for
21:27
some reason I find a lot of people think
21:29
that their instinct should be to go
21:31
after the hardest customers first almost
21:34
as if it's like a proof like if I can
21:35
get this impossible person to use
21:37
something then like it'll be easier I
21:40
know that I've made something good I
21:43
like to start from a different point
21:45
it's an MVP you know you've made
21:47
something bad like that's the definition
21:49
of MP it's bad so the real question is
21:52
like how do you find people who are
21:54
willing to use a bad product right there
21:57
have to be the most desperate the most
22:01
desperate and so a lot of times I talk
22:03
to founders I really pushed them towards
22:05
who are the most desperate customers and
22:08
how do you talk to them first that's
22:10
what I define as easy desperate if
22:13
you're having like a you know if you're
22:15
trying to sell a simple piece of
22:16
software to someone
22:18
thousand dollars a month and you're
22:19
engaged in a six month conversation with
22:21
a company that's not a desperate company
22:24
move on in fact when you're doing
22:27
enterprise sales early as a start-up
22:29
like you're looking for even more
22:31
desperate customers just because
22:33
literally takes so long to sell them so
22:35
if you don't feel like you're dealing
22:37
with desperate people if you feel like
22:39
you've dealt you're you are trying to
22:40
get impressive customers who aren't
22:42
desperate you're probably doing it wrong
22:45
literally the number one thing I often
22:48
tell found is just like whose business
22:50
is gonna go out of business without
22:52
using you which people out there are not
22:55
going to be able to get to work or to
22:57
watch their kids how do you find the
22:59
people who are just literally are
23:00
screaming for something like this and
23:03
then how do you talk to them and not
23:05
talk to your friends I had a bunch of
23:08
friends who were using social cam right
23:12
my company was doing video for for
23:14
sharing with friends and they weren't
23:15
really using it they were using it
23:17
because it was like my app and there
23:19
were friends with me I literally had one
23:20
friend it was like super honest about
23:22
this Steve the CEO of Reddit when we
23:24
sold Socialcam he literally said thank
23:26
God now I can delete this app from my
23:28
phone so the perfect definition of
23:34
someone you should not be trying to get
23:35
product feedback from right and so he
23:39
didn't have the problem we were solving
23:40
many of your friends won't have the
23:42
problem that you're solving make sure
23:44
you find D and by the way the kind of
23:47
community of start-up people and/or
23:50
investors usually don't have the problem
23:53
that you're solving so if you're using
23:54
investors as a trigger for am i solving
23:57
the right problem or like do they find
24:00
this useful it's almost never the case
24:02
almost never the user of a product that
24:05
comes into I see and so ignore your
24:07
investors ignore your friends like they
24:10
will lead you 100 percent astray out of
24:13
good intentions they'll try to be
24:14
helpful well at you know I've never
24:16
lived in the Sahara I've never been
24:18
thirsty but maybe it should work like
24:21
this right live like horrible run away
24:24
run away once you start having customers
24:27
I think it's a very helpful exercise to
24:30
try early to identify
24:31
by bad customers these are people who
24:35
are blasting your support these are
24:38
people who are constantly
24:40
constantly complaining
24:43
my co-founder Justin he had a company
24:45
that was basically on demand personal
24:47
assistant and he was the first one who I
24:50
met who actively fired a customer is
24:54
basically uber for personally support
24:55
systems called exact and literally a
24:57
customer would have the exact do
25:01
something like like crazy like something
25:03
you couldn't do right like we organized
25:05
my house the way I want things organized
25:07
and I'm not gonna tell you I want them
25:09
organized or go shopping for me but I'm
25:12
gonna critique every single like piece
25:14
of fruit and vegetable that you picked
25:16
out she was like completely unrealistic
25:17
expectations and so after refunding the
25:19
person four times for four different
25:21
tasks the person did a fifth task on the
25:24
product right because he's getting a
25:26
bunch of value for free and Justin Cosmo
25:28
says you're fired you can't ever use
25:29
product again like look for those people
25:32
because if you aren't delivering
25:34
anything of value there will be people
25:36
trying to exploit that value and some
25:39
might be doing it not out of the
25:41
goodness of their heart so don't let
25:45
these people lead you astray we talked
25:47
about this don't discount now here's a
25:51
caveat on discounting Parker from
25:56
zenefits came to I see a couple years
25:58
ago and he gave this great talk about
26:01
enterprise sales and zenefits his
26:03
product that's given away for free so
26:04
it's actually kind of a interesting
26:06
enterprise sale and one of the things he
26:09
said that really got to me was that
26:13
there are ways to convince organizations
26:17
basically you can structure discounts
26:20
and incentives into your sales pitch if
26:23
you basically understand what value are
26:26
getting back so his example was he would
26:30
try to sell to a company to switch on to
26:32
zenefits for their health care and he
26:35
would say look because of this third
26:38
party let's just say AWS has given us a
26:41
discount who knows why right we just
26:43
bought dedicated instances so now
26:45
we have 40 percent lower AWS bills so we
26:48
can actually pass on some benefit to you
26:51
but only for the next 30 days now I feel
26:55
horrible even telling you this because I
26:57
want you to take as much time as you
26:58
need to buy my product I would just hate
27:00
if you bought it on the 31st day and I
27:03
couldn't give you this discount now this
27:05
isn't a let me give this away for free
27:08
like because I'm afraid people won't use
27:10
it this is a very structured process
27:13
that he did he basically incorporated a
27:16
deadline based on some third party
27:19
providing a benefit to the customer and
27:22
he knew that when he said this to the
27:25
customer every time that this was talked
27:27
about internally the deadline would be
27:29
brought up and the discount would be
27:31
brought up and suddenly this has now
27:33
become not a way to be afraid right - oh
27:37
I'm not sure how many customers minutes
27:38
make it free became a way to speed up
27:40
the process and his discount was just
27:42
baked in like he just priced the product
27:44
15% higher so it's like literally like
27:48
that is the way to do it
27:50
the way not to do it is I'm afraid no
27:52
one's gonna use it so I have to talk not
27:54
charge any money okay
27:57
the next is how to set up metrics how
28:00
many of you are using Google Analytics
28:03
as your primary metrics products raise
28:05
your hands okay you are doing it wrong
28:10
yes so setting up metrics is something
28:16
that's like super important very early
28:20
in your company because it's how you
28:21
know whether your product is being used
28:22
or not and it's one of the number-one
28:25
sources of new product ideas and
28:27
inspiration so Google Analytics I would
28:30
say is a great product for knowing how
28:32
many people came to your website today
28:33
and how many pages they viewed which
28:35
used to be relevant and it's not really
28:37
relevant anymore and where they came
28:39
from
28:40
um what it's not a great product for is
28:42
identifying what people's actions were
28:45
when they were using your product did
28:47
they click this button did they see this
28:49
screen how long were they on the page
28:51
for before they did something else did
28:53
they leave something in their cart for
28:55
all of those things you want an events
28:57
based metrics product
28:59
Mixpanel amplitude heap I think we've
29:01
funded like 50 of them they're like 100
29:03
of them out there you should be using
29:05
one of them if you're not you can't be
29:08
sophisticated at building your product
29:10
this is just kind of a prerequisite so
29:13
get on it and this goes back to the
29:15
early thing that I mentioned which is
29:16
technical teams for a technical team
29:19
implementing Mixpanel is ridiculously
29:21
easy for a non-technical team it's
29:22
basically impossible this is just one of
29:26
the many advantages of having a highly
29:28
technical team you actually know what
29:29
users are doing without this you're just
29:31
missing a huge part of what you need to
29:34
know the next thing and Suhail from
29:38
Mixpanel gave a great talk about how do
29:40
you set up mix panel one of the
29:42
challenges of setting up mix panel is
29:43
the second that you're sitting there
29:44
saying I want to track what my users are
29:46
doing you can come up with like 150
29:48
things your users can do with your
29:49
product and you want to track all of
29:50
them that's often a mistake if your
29:55
analytics product is got too many
29:57
analytic sitting in it in the beginning
29:58
it will be hard to use and part of what
30:01
you're doing if you've never used
30:02
product like links panel before is
30:04
learning how to use it and most
30:06
importantly teaching your employees and
30:08
your co-founders how to use it because
30:10
this product should be a product that
30:11
everyone in your company understands how
30:13
to use is everyone your company should
30:15
understand how the product is
30:16
functioning this is not something that
30:18
like the CTO uses and creates reports
30:20
from this is interactive product that
30:22
everyone can use
30:23
so to start pick five to ten simple
30:25
stats
30:27
let's take Instagram as an example right
30:29
if I went to pick five to ten simple
30:31
stats for Instagram let's say open the
30:34
app trade in an account took a photo
30:37
applied any effects share the photo
30:40
that's probably all I need in the
30:42
beginning right I mean the number one
30:45
mechanism for Instagram is taking a
30:46
photo and sharing it I can track that
30:49
I'm pretty happy the other thing that I
30:53
will warn you about is that if your
30:55
product is good the naming conventions
30:58
for these stats are going to become very
30:59
important because one day there will be
31:00
a hundred or even a thousand stats you
31:02
track so think a little bit ahead of
31:04
time and don't name something something
31:07
that only you'll understand make sure
31:09
that you if your company's good many
31:11
many people have to look at the
31:12
stats make measurement a part of your
31:15
product spec oftentimes when I talk to
31:18
founders they say we built it on this
31:20
release and we'll add the measurements
31:22
some point in the future I don't
31:24
understand how that works you build
31:26
something you want people to use but
31:28
you're not incorporating the measurement
31:30
that tells you whether people are using
31:31
it that doesn't work building
31:35
measurement is part of a product spec so
31:38
when you spec out a product you better
31:40
spec the stats you expect to be tracking
31:42
and you should also spec the stats that
31:45
you think are going to improve when
31:48
you're building that product that should
31:50
be part of the spec it should be part of
31:52
the first release otherwise you're
31:53
flying behind and this is just countless
31:57
times a justin.tv this is screwed us
31:59
okay
32:01
part development cycle so justin.tv was
32:05
and twitch was three yell kids and one a
32:09
mighty kid yell probably the most
32:12
productive skill you're taught is how to
32:13
argue with other yell kids and so the
32:16
number one way to get products developed
32:18
at justin.tv was to win an argument with
32:20
the three yell kids
32:22
kyle disliked this so much that he
32:25
actually switched his sleeping schedule
32:27
so that he wouldn't have to be involved
32:29
in these arguments so we were awake from
32:31
about 8 a.m. to about 12 midnight he
32:34
would wake up around 11:00 midnight and
32:36
write code all night and then go to
32:39
sleep in the morning so he wouldn't have
32:40
to argue with us on what stupid thing to
32:43
build one of the classic arguments at
32:46
justin.tv that lasted approximately
32:47
three months was the background color
32:52
for the original site so the original
32:53
site is just one page Justin wanted a
32:57
black background I wanted a wood grained
33:00
background three months of bait we
33:04
settled on changeable backgrounds so
33:10
there were five background options
33:13
clearly idiotic like I said we made many
33:15
of these mistakes um we didn't actually
33:18
really learn how to do product
33:19
development cycle until we failed at it
33:21
for about five or so years
33:26
and during that time this is what bad
33:29
product-moment cycle looks like one we
33:32
would release every three months for a
33:35
web only product that is horrible second
33:40
we would have a product meeting and we
33:41
wouldn't write anything down right it
33:45
was just four of us can't you remember
33:46
you're an idiot if you can't remember a
33:48
conversation before people had right and
33:50
if you forget something just ask one of
33:52
the other four people in the room right
33:54
No so as a results during the first
33:58
month of the dev cycle we'd all go off
34:00
working on slightly different versions
34:02
of the thing we wanted to build because
34:04
we didn't write down this back then at
34:06
the end of that month we'd come together
34:08
and we'd be like oh wait this isn't
34:11
we're not really building all the same
34:12
thing and then we'd have another product
34:14
meeting where we didn't write anything
34:16
down and go off and build again for
34:19
another month at this point right two
34:22
months in we probably have about three
34:24
weeks of productivity and about five
34:26
weeks of just stuff that's gonna have to
34:28
be thrown away at this point in we kind
34:31
of come back together and realize that
34:33
we're not 2/3 of the way done through
34:35
this sprint were less than 1/3 of the
34:37
way done and we're starting to get sick
34:39
and tired of this feature that we're
34:40
building so then we basically say
34:43
alright slash-and-burn
34:44
let's just make a shitty version of it
34:46
and we take another month to do that now
34:49
we've worked on this product for three
34:50
months if you had any good or new or
34:53
interesting ideas during that three
34:54
month period of time you were told we're
34:57
already working on something else so
34:59
your ideas are worthless just write them
35:00
down somewhere
35:01
whatever we're working on this thing
35:02
right now at the end of the three months
35:04
instead of wanting to iterate we were
35:06
sick of the da TM feature we just spent
35:08
three months building poorly so we would
35:11
launch it and if it wasn't used right
35:13
away we would come up with some new
35:15
brainstorm on some brand new feature
35:17
that would rescue the company this is
35:19
the wrong way to run a company it was
35:22
absolutely horrible I was talking to
35:23
Jeff earlier the major product decisions
35:25
that justin.tv made that carried through
35:28
to twitch - today was chat on the right
35:31
video on the left we decided that in
35:33
2006 it is the same way 2018 the vast
35:38
majority of the products issues we made
35:39
were
35:40
and never saw the light of day because
35:41
they went through a process like this so
35:44
if your process revolves around arguing
35:47
revolves around not writing speck
35:50
revolves around long dev cycles you are
35:53
doing it wrong you are 100% doing it
35:55
wrong what I'm gonna give you is a model
35:58
of how we figured out how to solve the
36:00
problem steal as much or as little of
36:02
this as you want but understand that if
36:04
you have any of the symptoms I'm talking
36:06
about you need to solve them or else
36:08
your company is just going to be much
36:10
less productive than it could be first
36:12
you need to actually have a number that
36:15
you track that reflects how good your
36:18
company is doing almost always if you
36:21
ever are going to charge money to your
36:24
customers this number should be revenue
36:27
almost always if you are never going to
36:30
charge your customers money like
36:32
Facebook then maybe it should be a usage
36:36
based metric like how often do your
36:37
customers come back every day like DEA
36:40
use it is almost always one of those two
36:44
usage if you will never charge the
36:46
customers money if you will charge the
36:48
customers many people will invent
36:50
reasons why these two metrics don't
36:53
apply to their business one percent of
36:56
them might be right 99 percent of them
36:57
are probably wrong
36:59
whatever this KPI goal is make sure
37:01
you're measuring it make sure that
37:03
everyone in your company knows what this
37:04
goal is every day helpful to put it on
37:06
some screen somewhere if an investor
37:08
asked you what your KPI is you not only
37:10
should be able to say what it is
37:11
sheÃll to say what the metric is you say
37:14
where the metric is now where it was
37:15
three months ago where it was when you
37:16
started this is kind of table stakes the
37:22
next thing that we would do is as the
37:25
kind of product person I would come into
37:27
the meeting and I would say this is the
37:29
KPI we're looking to improve this this
37:31
cycle at Socialcam the top level KPI was
37:36
da use and the three ways that we
37:38
thought we contributed to da use was
37:40
either new users retention of users and
37:43
new content created those three things
37:46
so every cycle we ran one of those three
37:49
numbers moving that number so that the
37:51
right direction was the goal and we'd
37:53
run an open brain
37:54
brainstorm for us would take a couple
37:56
hours and it was a real brainstorm it
37:58
wasn't the brainstorm we're like you say
38:00
what about this and your co-founder says
38:02
that's a dumb idea that's not a
38:04
brainstorm
38:05
the real brainstorm is that any idea
38:07
that's stated is written on the board
38:09
the cool thing about these brainstorms
38:12
is that everyone's computers were always
38:13
open to Mixpanel
38:15
so if you had an idea or you had a
38:18
thought you could always just go in and
38:20
check the metrics and see like oh is
38:21
that right or is that wrong you'd be
38:24
surprised at how much value there is and
38:26
seeing your idea on the board not
38:29
everyone's gonna get to have built what
38:31
they want to have built but the fact
38:33
that your idea was considered and added
38:35
to the board actually makes people feel
38:37
a lot better than otherwise people feel
38:39
horrible when their ideas are shot down
38:42
CEOs their job is to make their
38:44
employees not feel horrible all the time
38:46
sometimes I think CEOs think their job
38:48
is to shoot down ideas it's not it's not
38:52
gonna help you at all I mean everyone by
38:54
the way in our company participated in
38:56
this brainstorm at that point that was
38:57
for people so easy to do the next thing
39:01
was we did what's called easy medium
39:03
hard
39:03
so our brainstorm was actually typically
39:06
split up into three categories new
39:08
features or iterations on existing ones
39:10
bug fixes and/or other maintenance and
39:13
tests a B tests we want to run we have a
39:17
whole board filled out with ideas on
39:18
these three categories and then we go
39:20
through and do what's called easy medium
39:22
hard for us hard mint it would take one
39:24
engineer most of the dev cycle to build
39:26
medium typically meant to take a day two
39:29
days easy means we could do multiple in
39:31
a day this is extremely important how
39:34
many of you in this room do not know how
39:36
to write code raise your hand there we
39:38
go I am one of you it's extremely hard
39:42
if you don't know how to write code to
39:44
figure out whether your idea is easy to
39:46
build or hard to build that's something
39:48
that you actually learn as a skill over
39:50
time and this process basically is the
39:53
process that can help educate you it
39:56
turns out that easy ideas get built way
39:58
faster way more quickly than hard ideas
40:00
and it turns out that most hard ideas
40:03
can be restated as an easy idea if you
40:06
just understand what
40:07
bits of your heart idea are both useless
40:10
and hard and most of the time there are
40:13
useless and hard bits and hard ideas
40:15
that can just be removed and so for us
40:18
this was educating everyone the team and
40:20
for us we had a cross-functional team so
40:22
someone might not realize that this is
40:23
really hard on the video system it might
40:25
be an easy web feature but hard on the
40:27
video system or vice versa so this was
40:28
basically educating everyone a team on
40:30
what's easy medium hard it also created
40:32
an objective standard by which to start
40:34
thinking about these ideas instead of
40:35
just based on the argument ability of
40:37
the person delivering them it was like
40:39
well your idea is like really freaking
40:42
hard and seems like it wouldn't move the
40:43
numbers that much based on Mixpanel
40:45
whereas like this other person's idea is
40:47
super easy and probably can move numbers
40:49
a lot the next thing we would do is we
40:52
decide hard first so we look at all the
40:56
Harz and we say which hard is gonna
40:58
impact the KPI the most and then we move
41:02
to Easy's and then we move to one with
41:04
moved at mediums and then we moved to
41:06
Easy's what was interesting is that like
41:08
just with the ideas on the board and
41:10
with easy medium hard a lot of the ego
41:12
was removed from the debate because one
41:14
you knew your idea has been considered
41:16
and two you'd sent some objective
41:18
measure about how hard it was and three
41:20
because the board has a bunch of ideas
41:22
on it now it's probably pretty easy for
41:25
you to find an easy idea that you really
41:26
like and so you're just gonna be excited
41:29
that that's probably gonna get in and
41:31
you're really hard idea that's fine if
41:33
it doesn't the next step is you have to
41:37
write the spec this is where everyone
41:39
[Â __Â ] up the meeting might be going on
41:41
for four hours now and this is the step
41:44
no one likes you actually go through and
41:46
you actually write down what do we mean
41:49
by we're adding video filters to
41:51
Socialcam what do we mean by were
41:54
allowing people and justin.tv and twitch
41:56
to chat with one another what does that
41:58
actually mean how is it going to work
42:00
this is really important and once this
42:04
is done you can then distribute tasks to
42:06
the team now we would run these cycles
42:08
every two weeks at Socialcam because
42:10
back then summing to the AppStore took
42:12
longer if you're doing a pure web
42:15
product you can run these cycles once a
42:16
week the rule that we had to make the
42:19
team not hate these really
42:21
meetings is the only meeting we had this
42:24
is the only meeting and so it might take
42:26
two hours it might take six but for that
42:28
to occur period of time there were
42:30
northern meetings in fact for me being a
42:32
non coder my number one job was to shut
42:34
the [Â __Â ] up because I could create a
42:39
problem right
42:41
we're busy working we have this written
42:43
spec everyone knows what they're doing
42:44
if I have some brilliant idea during
42:47
that two weeks right that'll throw the
42:50
whole thing into chaos
42:51
suddenly the written specs not important
42:53
we're back to the drawing boards or
42:55
we're changing things Yeti ID Etta what
42:57
I had to realize is that every two weeks
42:59
we do this over again so for that
43:00
burning idea just [Â __Â ] wait two weeks
43:02
and we're gonna have the meeting again
43:04
and then we can get it in and turns out
43:05
you're burning ideas probably wrong so
43:07
it's totally fine to wait two weeks to
43:09
try to kiss people do something wrong is
43:11
totally fun as opposed to like having
43:14
this cadence meant every two weeks we
43:16
had success every two weeks if we built
43:18
what we said we were gonna build we felt
43:20
good and then that cadence meant that
43:23
we'd go into the next cycle and do even
43:24
more this cadence is extremely important
43:28
because it's going to take you guys a
43:29
long time to find product market fit
43:30
maybe trying a lot of things we
43:33
iterating a lot and if that process
43:35
doesn't feel fun you're getting very
43:38
frustrated
43:39
this made the process feel fun because
43:41
we had goals and accomplish them versus
43:44
iterate a lot of YC companies a lot of
43:49
founders in general will tell me our
43:51
thing isn't working it's been two months
43:54
it's time to pivot when I think about
43:57
that statement it blows my mind right
44:00
you're building a new product for a
44:03
customer who might not have ever used
44:04
the product before you're oftentimes
44:06
exploring a problem that you only know
44:08
to some degree or you've only
44:10
experienced it personally what makes you
44:12
think two months is enough time to know
44:14
whether you figured something out what
44:17
impressive thing only took two months to
44:19
build so if you're not thinking that the
44:23
process of coming up with a solution for
44:24
this problem is probably the more like a
44:26
two-year process you're doing it wrong
44:29
if you are unsatisfied with significant
44:31
progress in under two years you're
44:35
probably doing it wrong it's going to
44:37
take time you're doing something hard if
44:40
it was really easy someone else would
44:42
have done it so I define pivot as
44:46
changing the customer or changing the
44:49
problem this should be rare this should
44:52
happen infrequently many times this
44:56
means you should start a new company i
44:59
define iterate as changing the solution
45:03
it turns out you had the right customer
45:06
you had the right problem your MVP was
45:08
shitty and it didn't work
45:10
we need a new solution it turns out
45:13
maybe your MVP was great but it didn't
45:14
solve the problem with a new solution it
45:17
turns out you showed the product to your
45:18
customers and they didn't want to use it
45:19
even though they have burning problems
45:21
we need a new solution often times I see
45:23
this in Reverse people think solution
45:26
first and when cut the customers they
45:29
thought didn't like their product they
45:30
try to find some other random customer
45:32
who does he might even have a completely
45:34
different problem and they tried
45:36
shopping around their solution because
45:37
they think their solution is the genius
45:39
part I think the problem is the genius
45:42
part I think identifying a problem that
45:44
other people haven't figured out is
45:46
worth working on is the genius part
45:48
right Facebook wasn't first a social
45:51
networking and Google wasn't first a
45:53
search engines their genius was
45:55
understanding that the people who came
45:57
before them hadn't solved the problem
45:59
and if they could solve the problem
46:00
better they'd built huge companies their
46:04
genius wasn't oh we built this cool
46:06
thing let's just figure out who might
46:08
want to use it wrapping up a little bit
46:10
here I always tell the story about fake
46:13
Steve Jobs versus real Steve Jobs a lot
46:16
of people think that Steve Jobs is this
46:19
person they should emulate but they have
46:21
a false picture in their heads of what
46:23
Steve Jobs was they think that like he
46:26
dreamed perfect ideas out of his head
46:28
and into the world and what's funny is
46:31
that I think often times people look at
46:32
the iPhone as perfect example of this
46:34
but they look at their iPhone today your
46:38
iPhone today is [Â __Â ] magical the
46:41
first iPhone sucked in almost every way
46:44
and they don't realize that Steve Jobs
46:47
wasn't somebody who
46:48
was just not iterating who just imagine
46:51
your perfection minute one Steve Jobs
46:53
was iterating at every step so I like to
46:57
remind people what the first iPhone did
46:58
first iPhone no 3G back when 3G was a
47:02
standard feature so you have this great
47:05
internet browser but you can only use it
47:06
on edge which means it [Â __Â ] sucks
47:08
right one carrier oh you don't have this
47:12
carrier sorry switch carriers figure
47:14
that out
47:16
horrible battery life screen cracked all
47:19
the time
47:19
no App Store you can't even download
47:22
other apps that was the first iPhone
47:25
everyone forgets that iPhone so if you
47:28
are the person in your company who is
47:29
being fake Steve Jobs is saying the
47:32
product has to be this way because what
47:34
I said [Â __Â ] the customers [Â __Â ] everyone
47:36
else [Â __Â ] you make the product the way I
47:39
want it to be you're being fake Steve
47:41
Jobs real Steve Jobs released a shitty
47:45
MVP that was revolutionary but still
47:47
fairly shitty and every year iterated it
47:50
until you have the thing in your pocket
47:52
right now which is pretty damn good real
47:55
Steve Jobs iterates and talks to
47:57
customers fake Steve Jobs just dreams
48:00
and creates art don't be fake Steve Jobs
48:03
okay so with all this I want to go back
48:07
to the beginning what I said the
48:11
beginning still holds justin.tv the only
48:13
reason why I actually even know any of
48:15
these rules is because we broke all of
48:16
them the one thing that justin.tv and
48:19
twitch had was a really strong technical
48:22
team with high ego in the product and lo
48:25
burn when we started figuring things out
48:28
with twitch it was very interesting
48:31
gamers had been on our product the whole
48:34
time gamers had been streaming on
48:37
justin.tv since almost the beginning at
48:39
any given time there were twenty percent
48:40
of our traffic for years we ignored them
48:44
we ignored them we ignored them we
48:46
ignored them ignored them they still use
48:48
the product we didn't build features for
48:50
them they still use the product they
48:52
must been pretty [Â __Â ] desperate
48:53
because they still use the product year
48:55
after year the number one thing that
48:58
changed when we started working on
49:00
twitch
49:02
we started talking to them and what's
49:03
weird was it's not like we were talking
49:05
to other users and the only reason we
49:08
didn't talk to any users we had this
49:10
like crazy part development cycles we
49:11
couldn't do that with talking users too
49:13
so what we did in the beginning was we
49:15
literally just sat down with these
49:17
gamers and we said what did you want and
49:19
what's funny is we didn't build them
49:21
anything very special they were like oh
49:23
like lag socks or the couple they wanted
49:25
like little things what was great about
49:27
it was they realized we were now going
49:29
to build something for them and no one
49:32
on the internet was building things for
49:34
these gamers and they realized that when
49:36
we said we're gonna build something it
49:37
came out when was the last time that you
49:40
talked to someone building a product
49:42
that you like and you said can you do
49:44
this and they did it was last time you
49:47
suggested a feature to mark at Facebook
49:49
and then the feature came out never like
49:52
it's one of the magical things you can
49:53
deliver as a startup is you can talk to
49:56
a passionate user and then you can build
49:57
what they want and then you can say here
49:58
it is and they will fall in love with
50:00
you even if those features are
50:01
relatively mundane because let's switch
50:04
today chat on the right video on the
50:05
left the same product what was great
50:09
about this process was by talking to
50:11
them they realized that we were on their
50:13
side we realized they were building
50:14
something for them so they tell their
50:15
friends that was the major change if we
50:20
didn't have the technical team if we
50:22
weren't sheep if our ego wasn't involved
50:25
I never would have gotten to that point
50:27
and if you look at the history of
50:29
justin.tv in the first five years it
50:32
went from being worth nothing to being
50:34
worth about twenty four million dollars
50:36
in the next three years it went being
50:39
worth twenty four million dollars
50:40
touring worth a billion like that's what
50:43
software can do when you when you hit
50:44
the right customer let's do a couple
50:46
questions in the back
50:48
so you've mentioned that product so the
51:06
question is put it more generally should
51:10
you be going free if your final idea for
51:13
a product is to be free what I would say
51:15
is this if your users are users who you
51:19
never plan to charge then it's totally
51:22
fine free to be free but if you do plan
51:24
to charge them in some way it's really
51:26
helpful to charge them as soon as
51:28
possible because you want to know
51:30
whether or not they're willing to pay
51:32
and certainly if their business depends
51:34
on it it's especially helpful to charge
51:37
them so that's the measure that I would
51:39
use and they're all kinds of little
51:41
tweaks and and so and so forth but at a
51:43
high level do you ever plan to charge
51:45
them I charge them if you never plan to
51:48
charge them you can plan to monetize
51:49
based on ads which is really usually the
51:52
way that you never plan charges you can
51:53
monetize with ads if you're not going to
51:55
monetize with ads you probably should
51:57
start charging them all right next
51:58
question
52:18
revenue if you're metric if your KPI is
52:23
metric do that if your KPI is revenue
52:28
and the number is zero should you still
52:31
be tracking that as your top-line KPI
52:33
the short answer is yes you should be
52:35
depressed looking at that number every
52:36
week too but that's that's the answer
52:39
now let's be clear like I said with
52:41
Socialcam right there are contributing
52:43
numbers to that right and so whereas
52:46
like DEA use was our top-line metric
52:48
right we also the things we thought
52:50
contributed to that new content new
52:52
users retained users those numbers we
52:55
can move so if you're in a sales type
52:57
business your KPI number one revenue if
53:00
it's zero that should [Â __Â ] you in face
53:02
zero zero zero horrible but then you
53:04
should ask yourself maybe your three
53:06
other metrics are how many conversations
53:08
did we have this week how many people
53:10
are in contracting how people aren't
53:12
onboarding right and those can be your
53:14
three numbers that will if those numbers
53:17
move you expect the revenue number to
53:19
move and they can keep you motivated but
53:21
your your top-line KPIs no [Â __Â ] like
53:24
absolute no [Â __Â ] good we're a
53:28
hardware company pre-launch and so our
53:31
users our target market experience our
53:33
problem five to nine hundred times a day
53:35
and the intensity is can we pay our rent
53:38
or not but we'd like to offer pre-sales
53:42
as a way of getting the product to
53:43
market do you guys have any tips on
53:45
doing that do we have any tips on
53:51
pre-sales what I would say is that there
53:53
are many many tips on pre-sales I would
53:55
email some founders who've done it
53:57
before that's one of my best tip is to
53:59
email them and ask them what they did
54:00
the number one mistake I see with
54:03
pre-sales is discounting the number one
54:06
mistake is that basically especially
54:08
hardware founders will misunderstand how
54:10
much they need to charge so they don't
54:12
lose money and so their presale becomes
54:14
their death so I'd avoid that all right
54:18
two more quickly and the way back what
54:29
was the hardest part of having a slow
54:30
burn well we were young so it wasn't
54:33
hard at all we were living like we lived
54:35
in dorms I think it's a lot harder now
54:39
right I've got a kid I got a wife got an
54:42
apartment got a car it'd be really hard
54:44
now and so I think really the hard part
54:49
about slow-burn is can you adjust your
54:52
lifestyle if you've already leveled it
54:53
up and if you haven't leveled up your
54:55
lifestyle yet and you're still working
54:57
you know if you're young and you're
54:58
still working at a company that's paying
54:59
you well not leveling up your wife style
55:02
is a big way to stay ready to do a
55:04
startup adding on the mortgages and the
55:07
cars and the vacations makes it a lot
55:09
harder I just know a lot of people who
55:11
never could come back from that
55:13
absolutely
55:15
her back going from beta how do you go
55:27
from beta to early MVP I don't really
55:29
know what those distinctions are like
55:30
all I know is are people using your
55:32
product yes no like if people are not
55:35
using your product get to the point
55:37
where people are using your product
55:38
extremely quickly once people are using
55:40
your product there's all different
55:41
labels for it beta pre-launch alpha blah
55:44
blah who cares right it's just that's
55:47
the dividing line like are people using
55:48
a product the next question is are you
55:50
actually solving their problem that's
55:52
the next question not like are we
55:54
following this line of launching things
55:57
most YC companies will launch many many
56:00
many many times so that progression
56:03
isn't really that important are people
56:05
using your product great BAM
56:08
you're launched congratulations call
56:11
whatever you want all right this is a
56:44
great question and I have I'll have an
56:48
unsatisfying answer so the question is
56:50
basically how do we figure out what to
56:52
build next here's my answer the reason
56:56
why you have a part development cycle is
56:58
that you can work on multiple things
57:00
usually there isn't a right answer
57:02
usually all of the things that you want
57:04
to build won't work so what you need to
57:08
do is you need to create a process in
57:09
your company to build things quickly so
57:12
that you can actually see whether
57:14
they're work or not and then you can
57:15
iterate them from there so it's far more
57:17
important to have attack tactically
57:20
talented team that can build MVPs
57:23
quickly in a non frustrating way and
57:26
then measure the results than it is to
57:28
be
57:28
a super genius who can imagine what's
57:31
going to happen in the future without
57:32
actually knowing now I'm the big picture
57:34
you have to have that imagination for
57:36
your vision for where it's gonna be ten
57:38
years now you have to have that
57:38
imagination for the little technical
57:40
like tactical move in the next three
57:43
months like it's really hard to nail
57:47
those if you have a process that can rip
57:49
out things quickly and then only iterate
57:51
the things that are working that'll
57:53
serve you far better our mistake was
57:55
that at justin.tv
57:56
it was thinking every time we've got the
57:59
home run let's only swing for home runs
58:01
and of course it would take three months
58:03
to do it because we got to make it
58:04
perfect right and then the whole spike
58:07
spiral of death alright um the last
58:09
thing I'll say is my email address is
58:11
Michael at Y Combinator comm strangely I
58:14
tell people that I answer every email
58:15
and people mostly don't believe me and
58:19
the ones who do email me and I reply and
58:21
so everyone I talk to you and everyone
58:24
online there's really only two
58:25
categories of people the people who
58:26
don't believe me in which case great
58:28
continue your lives and the people who
58:30
will believe me and if you need help
58:31
they'll email and I will try to help you
58:34
the best I can
58:34
it's really that simple you don't need
58:37
to have networked with me Y Combinator
58:39
is fairly easy to spell and so is
58:41
Michael so you should be able to figure
58:42
that out
58:42
thank you
58:44
[Applause]
58:55
you