"Why Is Everything Taking So Long?" — Transcript
Full transcript
- 0:00A couple things that that took me a long
- 0:01time to figure out.
- 0:03Um
- 0:03there's this very There's these two
- 0:05opposing forces of like make good [ __ ]
- 0:06and then make lots of [ __ ]
- 0:08That you have people on both sides. I
- 0:10tend to be on the make lots of [ __ ]
- 0:12category. Um but these are two apparent
- 0:16extremes that sit where the magic is in
- 0:17the middle.
- 0:19And so we've referred internally as this
- 0:21middle spot as qualume. Which is how do
- 0:23we create quality volume? And if you
- 0:26guys haven't read this book, it recently
- 0:27I think it recently came out. It's
- 0:28called uh the algorithm. It's from
- 0:31Tesla's former president who kind of
- 0:34reimagined some of their stuff. And
- 0:36basically it's it's it's Elon's approach
- 0:38to manufacturing anything, right? And so
- 0:41if you think about what content creation
- 0:43is, it's a manufacturing process. It's
- 0:44digital manufacturing, but you're taking
- 0:45a raw input of just like recording some
- 0:48video and then there's an output which
- 0:49is going to be a post on social media or
- 0:51multiple posts on social media that are
- 0:53going to get views, likes, shares,
- 0:54leads, etc., right?
- 0:56And so the five steps of algorithm, I'll
- 0:58walk you through them. Uh I I made this
- 1:00mandatory for all the people who report
- 1:02to me because this is this is the
- 1:03process that I I've I first heard about
- 1:07this 2 years ago
- 1:09uh from some interview that Elon did and
- 1:11I was like, man, this is really good. Uh
- 1:12they finally came out with a book on it.
- 1:14So, let me just walk you through it and
- 1:15then we'll get into content questions,
- 1:16all right? So, the first step is
- 1:17question the requirements and I'll give
- 1:19you an example. So, I say, "Okay, why
- 1:21does it take?" And the great The first
- 1:23great way to know that something is
- 1:24taking way too long is to say, "How much
- 1:25actual time are you working on the
- 1:27thing?" So, whether this is client work
- 1:29uh or this is like you're on you know,
- 1:31you're doing home services and you're
- 1:32working on a project, whatever it is.
- 1:34Like there's a certain amount of work
- 1:37that um that has to be done, right? Now,
- 1:40let's say the total time on task or
- 1:42total total time that the work is being
- 1:44done is say 10 hours, right? But all of
- 1:46a sudden you're like, "But then why is
- 1:47it taking us a week to get this
- 1:49delivered, right? It should, in a
- 1:51perfect world, go from they sign and
- 1:55then 10 hours later they get." Right? So
- 1:57everything that's outside of 10 hours is
- 1:59waste from a business perspective
- 2:02because it's basically uncaptured
- 2:03potential value. All right? And so the
- 2:06idea when we asked the first step is
- 2:07when we question the requirements is
- 2:08like, why must these things happen in
- 2:11this order? Why are we doing all these
- 2:12requirements? Why must it take this
- 2:13long? etc. Right? And so with the
- 2:15questioning of the requirements, one of
- 2:17the things that came up I was like,
- 2:18okay. They're like, well one of the
- 2:19things that we do in this these 10 hours
- 2:21for example is that we color grade.
- 2:23Right? And I was like, okay. Uh do we
- 2:26think color grading even [ __ ]
- 2:27matters? And if we look at some of the
- 2:29best videos that I have, they weren't
- 2:30color graded and there's some absolute
- 2:31bombs that are color graded. And I'm
- 2:33like, okay. So how much time is this?
- 2:36Uh and is it a requirement? Who decided
- 2:39that we must color grade everything?
- 2:40What what what god on the throne of of
- 2:43YouTube and Instagram said that color
- 2:44grading was super important? The answer
- 2:46is there wasn't really one. Right?
- 2:48And so we're like, okay.
- 2:50Um do I look like I'm super [ __ ]
- 2:51twisted? Let me see if I can get this a
- 2:53little little more uh little more
- 2:55straight up for you guys.
- 2:57I think I'm getting a little dizzy just
- 2:58watching it. All right. Let's see here.
- 3:01And so anyways, while we were doing
- 3:02this,
- 3:03uh unlock. Here we go. Let's see if that
- 3:05works.
- 3:06Unlock. This is why we can't have nice
- 3:07things.
- 3:08All right. There we go. This should look
- 3:10a little less screwy.
- 3:13All right. There we go. Rock and roll.
- 3:15Okay. So um anyways, so we remove color
- 3:18grading
- 3:19uh from our from our process step. And
- 3:21it's like, what else can we cut? Right?
- 3:22And so the idea is once you figure out
- 3:25all the requirements that exist, we have
- 3:26to question the requirements and I'll
- 3:27give you the three-step questions that I
- 3:28asked. This is not Elon's. Which is,
- 3:30what does that mean?
- 3:32How do you know that? So what?
- 3:35Right? So we have to color grade. Okay.
- 3:37What does that mean? It means we have to
- 3:39do all this [ __ ] in the video. Okay. Now
- 3:40that you say that, so what? Do we have
- 3:43any evidence? Right? That uh that this
- 3:45is going to do anything to the video?
- 3:47No, we have no evidence. All right. So
- 3:49why should I care?
- 3:50There isn't. And so when I question the
- 3:52requirements, I ask ask these three
- 3:53questions: What does that mean? Uh how
- 3:55do you know that? And so what? Right?
- 3:57Once we have that, it's like boom,
- 3:58that's the first thing. When you have
- 4:00the answers to all those questions in
- 4:01the requirements, you say, "Okay, well,
- 4:02let's just delete a shitload of stuff."
- 4:04And one of uh Elon's rules of thumb is,
- 4:06we should delete so much that we have to
- 4:07add stuff back, which is a great uh
- 4:09litmus test because everyone's always
- 4:10afraid of deletion, cuz everyone's
- 4:12afraid of like messing something up, but
- 4:13you can always add stuff back. It's very
- 4:14unlikely that in a process, especially
- 4:16when you're building something, that um
- 4:19it's an irreversible door. You know what
- 4:20I mean? It's not like you're going to
- 4:21blow up a machine you have, or you're
- 4:22going to like, you know, one of your
- 4:23editors going to disappear from the
- 4:24planet. No, it's like the step step in
- 4:27the process that we can we can add back
- 4:28if we want to. Let's just see what
- 4:29happens. And so, when I first started
- 4:31doing this, you might have seen this
- 4:32video that I posted on YouTube, which
- 4:33was um
- 4:35it was like, if you're broke, watch
- 4:36this, or something like that. Um which I
- 4:38guess that's every [ __ ] video on
- 4:39YouTube, but whatever.
- 4:42I won't rant on that. Whatever, I'll let
- 4:44that go. But, it was me on a plane, and
- 4:46I did it with an iPhone. And I did it
- 4:48that way cuz I was so angry, and me and
- 4:50us I was I was a little peeved at the
- 4:51team because they were like, "We have to
- 4:52do all these things." And
- 4:55thankfully, all almost all that team is
- 4:57is not with us anymore. So, and so, when
- 5:00we did the video, right? And we posted
- 5:03it, it became a mondo one out of 10
- 5:05video, because the thing that mattered
- 5:06is the stuff in the [ __ ] video,
- 5:08right? And so, everyone wants to to
- 5:10major in the minors, right? Which is
- 5:11part of the reason that I'm doing these
- 5:12raw videos like this, cuz like it was
- 5:14never about the [ __ ] production,
- 5:16right? And some of you guys are worried
- 5:17about your makeup if for the girls,
- 5:20right? Or the lighting, or uh to be
- 5:22fair, this is an epic background, so
- 5:23this is probably a little off. But, like
- 5:24most of the time, my background looks
- 5:25absolute dog [ __ ] and it's either, you
- 5:27know, blurry in my Death Star of a
- 5:29production center, which I also hate,
- 5:31but um or it's in my office, which looks
- 5:33horrible, right? And so, my point is
- 5:35this, is that like the thing that
- 5:36matters is the stuff inside. It's the
- 5:38stuff inside of the content. The content
- 5:40is the container, right? The stuff
- 5:41inside is what matters. And so, if you
- 5:43don't have the stuff, like focus on the
- 5:45stuff. That's where the quality comes
- 5:46from. The volume is like how much stuff
- 5:48I'm going to put out. All right. So,
- 5:50number one, what we question
- 5:51requirements. Here's our big list of
- 5:52[ __ ] Number two, we delete the stuff
- 5:53that doesn't matter. We should delete so
- 5:55much that we have to add stuff back
- 5:56later. Three is simplify. Another way of
- 5:58saying that is optimize. What do we get
- 5:59the most for the least? So, even though
- 6:01something um might give us a return,
- 6:04let's say color grading gives us a
- 6:05return. I'll just make it up. Um and
- 6:07let's say we can prove that, which we
- 6:08can't. But let's say we can prove it.
- 6:11Okay. Um if we can prove it, is it worth
- 6:14it? Right? Which is a separate question.
- 6:16Is it worth it? So, we can get
- 6:20um
- 6:21Let's say Let's say the total thing
- 6:22takes 10 hours. Okay. Let's say four of
- 6:25those hours are color grading. All
- 6:26right. Is it 40% of the quality of the
- 6:30output?
- 6:32No.
- 6:33Is it 5%? Maybe.
- 6:37Is it worth 40% of the costs? My
- 6:39argument, no. I would rather, cuz we
- 6:42have to put the opportunity cost, if I
- 6:44had if my team had nothing else to edit,
- 6:46then it would make sense to take the
- 6:47extra time. But they have so much other
- 6:48stuff to edit, and it would make more
- 6:49sense for us to do two videos or one and
- 6:52a half videos at 95% than one video at
- 6:55100. All right. So, hear me out on that.
- 6:58After simplifying or optimizing most for
- 7:00the least, then you go to step four,
- 7:03which is accelerate. How do you pull up
- 7:05timelines? I'll give you my my version
- 7:07of doing this when I'm in a meeting. So,
- 7:09anybody who's worked with me knows that
- 7:10I like to finish meetings with who,
- 7:12what, when. And so, it's my very simple
- 7:14management algorithm. It's about
- 7:15Everything else you can learn from
- 7:16Layla. But these three, this is what I
- 7:18do.
- 7:18And so, at the end of our meeting, I'm
- 7:19like, who, what, when? Right? Who is
- 7:22going to do what by when? Very, very
- 7:24simple, right? And here's where if you
- 7:26want to go to the 201 level, whenever
- 7:28someone tells you the by when, you
- 7:31actually ask the question I started
- 7:32with, which is
- 7:33okay, uh today's Monday, and you want to
- 7:36do this by next meeting next Monday. How
- 7:38much actual time is this going to take?
- 7:40Time on task. And so, people will be
- 7:42like, uh I it'll take me 4 hours. It's
- 7:44like okay.
- 7:45What are you doing in the next 4 hours
- 7:47that is more important than this?
- 7:50A lot of times the answer is nothing. In
- 7:51which case great, do it do it by the
- 7:53day.
- 7:54And let me know. And so if you ever want
- 7:56to speed up the movement of a team,
- 7:58increase communication cycles. So that
- 8:00means instead of going end of week, go
- 8:02end of day. It's 7x the speed of a team.
- 8:05You will be amazed at how much more you
- 8:07get done. So who, what, when? So who's
- 8:10going to do what by when? And then when
- 8:12they tell you when, you ask why can't
- 8:14you do it earlier? Now to be clear, if
- 8:15someone says I got this other [ __ ]
- 8:16that's going on that you told me to do,
- 8:18where you're like oh yeah, I did tell
- 8:19you to do that. Then it's like great,
- 8:20we'll do that after that, right? And
- 8:21then that way that constant
- 8:22accountability
- 8:24just drives the whole thing forward. And
- 8:25so I promise you if you want a project
- 8:26to go faster, ask for updates every day,
- 8:29twice a day, five times a day,
- 8:32every hour. I'm telling you, like I've
- 8:34done this with vendors, too. So if I'm
- 8:36like hey,
- 8:37hey I need this thing and they're like
- 8:38okay, cool, we'll get it to you
- 8:39tomorrow. I'll just call them in an hour
- 8:41and be like hey, what's our progress
- 8:42update on that? And they're like I I
- 8:44said I'll get it to you. I'm like this
- 8:45is very important to me. Like can we can
- 8:46we please get this done sooner? And then
- 8:49you call them again in an hour they're
- 8:50like dude, I'll [ __ ] get it done.
- 8:51It's like right. So I will force the
- 8:52accountability on a vendor if I need to
- 8:54pull [ __ ] forward. And so that's fourth
- 8:56step is how do we pull up cycles? How do
- 8:58we how do we take what the expected
- 8:59timeline is and then reduce it?
- 9:02And then, and this is the big this is
- 9:03the big one which AI has destroyed for
- 9:05everyone.
- 9:06Step five is automate. Which is okay,
- 9:09how do we get the machines to do it? Now
- 9:10here's the here's the
- 9:12here's the magic behind this.
- 9:14Because the access to AI has become so
- 9:16prevalent and so easy for everyone,
- 9:18everyone thinks in the first step the
- 9:19last step first. They try and automate
- 9:21[ __ ] that should not be done to begin
- 9:23with.
- 9:23With like cuz the only thing that is
- 9:25more efficient than automation is
- 9:27elimination. It's choosing not to do
- 9:29something is more efficient than
- 9:30automating it because it wasn't worth to
- 9:31do it to begin with. And so the easiest
- 9:33limit test for many of you people
- 9:35people for many of you is
- 9:39the ROI using AI,
- 9:41are we getting more views? Though I'm
- 9:44using AI, are we getting more leads?
- 9:45Though I'm using AI, am I making more
- 9:47money?
- 9:48And so there's the very easy litmus test
- 9:50to tell you whether or not this is
- 9:51actually makes sense. And so I will
- 9:53promise you that Claude or, you know,
- 9:55Anthropic or, you know, OpenAI, etc.
- 9:58Claude and Anthropic are the same
- 9:59company, but you know, company's doing
- 10:00the billing, right?
- 10:02Um, Gemini, whatever. If they're billing
- 10:04you, they're billing you whether what
- 10:06you built was useful or not. And so if
- 10:08you're noticing your tokens costs going
- 10:10up month over month over month, but your
- 10:12money's not going up month over month
- 10:13over month, maybe you should consider
- 10:15that you're actually just blowing money
- 10:17on [ __ ] that doesn't matter.
- 10:20And so you maybe should start start with
- 10:23that process of the algorithm. All
- 10:25right? Question the requirements.
- 10:28Delete all stupid requirements.
- 10:29Simplify, aka optimize, get the most of
- 10:31the least. Speed up cycles, how do we do
- 10:33it faster? And then finally, then and
- 10:35only then
- 10:36do we bring up automation. Because then
- 10:39you're you're automating something that
- 10:41has already been maximized for
- 10:42effectiveness, and now you're just
- 10:44getting the last bit of effectiveness
- 10:45out of it, which is getting the robots
- 10:47to do it for you. All right. If you like
- 10:48this video and you're a business owner
- 10:50who wants to break through your current
- 10:50revenue ceiling, I distilled every
- 10:52lesson from scaling 10 businesses past
- 10:5410 million and three businesses past 100
- 10:56million into a completely free scaling
- 10:58roadmap that I've used to go from zero
- 10:59to one, zero to 10, and zero to 100
- 11:01plus. And so you can click here and you
- 11:03can check it out. Again, absolutely
- 11:04free, and since you're a business owner,
- 11:06appreciates you and enjoy.
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