CAIR 17: One Insight Away!!

What if the problems facing your business could be solved with ONE INSIGHT?
What would you do to gain the Insight You Needed to move your business forward?
If the INSIGHT YOU GAINED required you to make changes to your business...would you do it?

Hey, welcome everybody to another episode of ClickAI Radio. My name is Grant Larsen. Alright, so today we are talking about insights one insight away. So there's many of you know, Russell Brunson, he uses this phrase a lot called one funnel away. I'm sure a lot of us have heard that. And what I like about that idea is that it keeps us moving forward, right? It's this notion that, alright, I've got a problem I'm trying to solve. And what I'm really looking for is just that next funnel, right, that next opportunity, and that could be the tipping point that helps me solve some problem and grow the business.

Well, it's similar in terms of AI. So with AI, it's one insight away, how many insights will it take for us to actually solve a problem for our business? So to do that, I started looking at the notion of insights. And where when did insights come about? And how did people start even talking about insights? I found one place right here is kind of an interesting, there's a book actually on Amazon. It's called inside out kind of kind of clicky. Inside Out, get ideas out of your head and into the world. And the author is Tina Seelig. She's a unit at Stanford University professor, and she discusses how to take her ingenious course I think I'm saying the name right. And to make imaginative ideas, reality.

Interesting, right. Okay. And here's another one. This one's actually called inside out. The words are combined, it's a website insightoutshow.com. And, and it's actually a pretty interesting set of podcasts. They're they're dedicated to bringing insights or exposing insights that have changed people's lives. And so it's got some best selling entrepreneurs and authors and thought leaders that are on there. So that was kind of interesting.

I also looked into some examples of people that that found insights, and then they applied them. Here's one that was particularly interesting. This was on medium.com. It says guy that when was this anyway, this was about a year ago or so. This guy, he pulled an 18 ton truck at some state titles. And he's trying to this is an a sportsman or strongman competition, right? And he's pretty, pretty small guy. And he's pulling a truck that's 200 times heavier than him. And he ended up placing fourth, and he beat a ton of people that were much larger and much stronger. And, and he goes on to describe I love what he says here. He says, how's it even possible? How is it possible that a guy that's 10 to 50 kilograms heavier than me?

They couldn't get the truck as far as I did. And he points out, it all came down to a single insight. Being in one of the lightest weight divisions, I didn't have the luxury of watching a whole bunch of people go before me to figure out the best way to do it. I had only two chances. So for the competitors went before me, I got up right beside them in front of them at an angle, I got an every position I could watch how they did it any any point for advantage others might miss. And then he says I found it. This is a cool part. Okay, he he finds the insight. And of course, if we get meta here for a moment, he really introspect it right? He watched others, he saw what was going on, he looked at what information was available to him.

Hint, Hint, nudge, nudge, and then he goes on, he says, I found it.

And he's got some video on this. Anyway, he says, you'll notice in the video, not long after I start pulling, there's a point where I stop at the pedestrian crossing, and really leaning hard. No one else did that. They tried to pull slow and steady the whole time. They did that because that's the way you usually do. Trump poll. Then he goes on to say, but they did it because they didn't see what I saw. So here's the insight. He said just after the start, there was a small divot in the road in perceptible unless you saw it from the side, and we're really paying attention. So he ended up what happened is the people that were just going sort of slow and steady, the truck would get into that divot. And they couldn't pull through, they didn't have the momentum.

He However, when he came up to that point, let the truck come into the divot, and knew to let it sort of roll back a little, then he leaned in super hard, and pulled it out of that divot and ended up taking for what a What a cool insight, right, he studied the situation, look at the information that was available to him. So back in 1936, in the one of the co founders of the London School of Economics, published a book called The Art of thought, I think his name is Graham Wallace, and called the art of thought. And he outlined four stages in the creative process.

Okay, so it was Wallace's stages of control where when you're going to get insight, there's some preparation, then there's some incubation illumination, and then verification, right? So so in this guy's example, where he's got the truck, right, and he's doing some preparation, right, he's watching the people. So that's the preparation is seeing how they get through it. And then he incubates and ultimately enough to the point where he can discover this debit. And then the illumination comes about, and he's able to leverage it. So what if we did that with our business? Right? What if we took the four steps preparation, incubation illumination and verification? What if I said, with artificial intelligence, that's how we get insights for our business. So the preparation stage is obviously doing transactions in my business. And there's a point where I need to prepare and curate that information. And then I need to think about what problems Am I trying to solve, like, in the case of this truck guy, right? That's pulling it. His problem, of course, was how do I beat everyone else, when he didn't really know at the time, is that his real problem was not, how do I beat everyone? It was, how do I get through that divot. And so in the course of incubation, he sees this and then some illumination comes on how he can actually use the debit to his advantage, and then pull on through to it.

So we use artificial intelligence to do the same thing. We go through our preparation, we incubate we think about what problem we are trying to solve. And in the course of doing it, we actually get some illumination on Wait a minute, maybe the problem I'm solving isn't the one I originally thought there. There's another problem here. And that's illuminating me into in terms of what I need to go solve. So that led me to this interesting point here, I looked something up. And it was, what's the difference between insight and intuition? And it turns out that one of the definitions that I saw was that, hey, intuition is the use of patterns that you've already learned. Whereas insight is the discovery of new patterns. And so in the case of this guy pull in this truck, right? So he's got some intuition on things that he can do, to perhaps use his body and align it properly to pull the truck through, but what he really needed. And what he ultimately discovered was an insight, a new pattern, which was, how do I actually deal with the real problem at hand, which is this divot that's got me stuck. Alright. So insight, that turns out is being able to see something right clearly that what's times we didn't know even existed beforehand.

And that often includes having an understanding of the cause and the effect relationships, meaning if I, if I do something, then something else will happen. Sometimes we call it an epiphany or an aha moment, you know, I've applied AI to multiple organizations, there's typically this epiphany, or this insight moment, right, which is, oh, gotcha. Now that I look at what the AI is telling me about my sales transactions. I didn't realize that, you know, when it's Tuesday in Belgium that I shouldn't be selling or whatever it is, right? So these insights come and then you start to realize, wait, I've got to go solve some of these specific problems. I thought it was solving a bigger problem. But before I can, metaphorically move my truck further down. I've got to get through the divot and AI brings those insights. So the real question is, how can I reduce the time to getting insights? So if the value is let me get insights, I'd that I'd actually like to get some velocity with that. Could I get insights more quickly, right. Could I get through that? iteration cycle faster. And of course, there are multiple ways to do that. But here's one example. This was, this was an example from Google. And they were they were working on reducing time to insight with AI. This is an interesting article from them. They were using some of their video imaging computer vision AI, right, which is actually takes takes a lot of horsepower from from the computational perspective, but in any event, in their article, they they ended up using AI to analyze videos, and they were doing it with Dunkin Donuts.

And, you know, because you know, can you have too many donuts? I don't know. So they're using it with Dunkin Donuts. And they were building a Youtube video to promote I think it's called their Donut Fries. I didn't even know such a thing existed. But apparently, if you marry a donut with a potato, you get fries, Donut Fries. So in any event, they were they were doing this donut fries thing. And by by running AI against their videos, they were able to make adjustments to the video. And they got more than 6000 comments on it, which ultimately built the right sentiment score for them to get the right promotion level.

Gosh, what does that mean? The net effect is they ended up getting insight tank time down to 28 minutes right now that's that's kind of amazing, right? I mean, that that's not typical. But the point is, you'd want to be able to take your business, get your business information, and then run it through a cycle and get that turnaround time as quickly as possible. Because the sooner we can discover the divots in the road, that are the real problems we need to solve for our business. Actually, then the better it is for us, we can move our truck move our business forward. Okay, everyone, the key to reduce time to insight is to use AI in your business. Hey, everyone, thank you for joining and until next time, go get some insights.

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