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Inside Outside Innovation

Inside Outside Innovation

Author: Brian Ardinger, Founder of Inside Outside Innovation podcast, InsideOutside.io, and the Inside Outside Innovation Summit

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Inside Outside Innovation explores the ins and outs of innovation with raw stories, real insights, and tactical advice from the best and brightest in startups & corporate innovation.

Each week we bring you the latest thinking on talent, technology, and the future of innovation. Join our community of movers, shakers, makers, founders, builders, and creators to help speed up your knowledge, skills, and network.

Previous guests include thought leaders such as Brad Feld, Arlan Hamilton, Jason Calacanis, David Bland, Janice Fraser, and Diana Kander, plus insights from amazing companies including Nike, Cisco, ExxonMobil, Gatorade, Orlando Magic, GE, Samsung, and others.

This podcast is available on all podcast platforms and InsideOutside.io. Sign up for the weekly innovation newsletter at http://bit.ly/ionewsletter. Follow Brian on Twitter at @ardinger or @theiopodcast or Email brian@insideoutside.io
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On this week's episode of Inside Outside Innovation, we talk about some recent Stanford research, how designing for disability sparks innovation, and the hidden dangers of shipping too fast. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robin Bolton, as we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Reasoning Risks, Inclusive Design Innovation, and the Hidden Cost of Shipping Fast[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton from Mile Zero. Robyn, welcome again. [00:00:48] Robyn Bolton: Thank you again. [00:00:50] Brian Ardinger: We have another amazing week ahead of us here. We wanted to share all the exciting things in the world of innovation that we're running across.First, I guess we'll get right into it. We've got a number of articles that have touched our lives here. The first one I want to talk about, Stanford just published an uncomfortable paper looking at LLM reasoning, and some of the findings were kind of incredible. Basically, the gist of it is if you look at the LLMs, it sometimes goes to a point where it is creating an environment where it's leading you to believe that it is confident in its answer, but it is not, for lack of a better term. That is what it's all about. [00:01:27] Robyn Bolton: I mean, it's so perfectly worded. This is worse than being wrong because it trained users to trust explanations that don't correspond to the actual decision process. And I will say I've seen that time and time again using different LLMs and have totally fallen victim to it is I'll kind of quickly scan the response, really read the end when it kind of gives me the key takeaway, I'm like, yeah, that sounds right, and then go on.And then it's only later I'm like. Ugh. I fell victim to AI work slop because the reasoning doesn't hold. So, it's an easy track to fall into and a good one to just constantly be on guard for. [00:02:09] Brian Ardinger: Yeah. The fact that the models produce unfaithful reasoning gives you this you think this is a correct answer, provides explanations, but when you ask it to explain it, the actual logic that it explains back to you is wrong or incomplete or fabricated.So, it provides that sense that you're on the right track. But the LLM itself can't reason. And that inability to reason will take you down particular paths and even to the extent you could even change a single word or a phrase within your prompt, and that can take it down a particular path that, again, logically it doesn't make sense.And so, it's not consistent even down to the word of the prompt that you put it into. So, all that to say it's getting better, but it's still not a thinking device and it's not a reasoning device. Be careful when you're using these particular methodologies and that. Don't be a hundred percent confident in everything that comes out of it.[00:03:02] Robyn Bolton: Yes, trust for verify. [00:03:04] Brian Ardinger: There I go. [00:03:04] Robyn Bolton: Or maybe don't trust and still verify. Designing for Disability as a Catalyst for Breakthrough Innovation[00:03:08] Brian Ardinger: Alright, the second article from HBR is how designing with disability in mind sparks innovation. So, this was a great article. Oftentimes, I think when we're building new, innovative things, we think about the amazing things that we're going to create.And this article talks about how oftentimes you can think about it differently and actually create new things by designing for the marginal case or folks, for example, with disabilities.You can design for amplifying use cases that don't normally happen, but by focusing on that, you can actually create new innovations and new ways of thinking about how to develop a new product. [00:03:45] Robyn Bolton: This is such a great reminder and great call to action for innovators, and it reminds me, I think, as I mentioned to you, one of my favorite stories, which is about Oxo, the kitchen tools, the can openers, the spatulas, all of that, and how they were originally created for people with rheumatoid arthritis.And you know, now, like Oxo is the only brand that I'll buy for Kitchen Tools because they're just so comfortable to use. And so it's just again, a great illustration of how designing for a really, really specific, even niche customer and designing really well and thoughtfully for them, that the market will expand because I mean, honestly, even look at sidewalk cutouts. You know, the kind of like little rams. We all use them, but they were made because of the ADA, the American with Disabilities Act. So, find a really awesome niche and delight those folks and you'll be surprised kind of what comes along. [00:04:44] Brian Ardinger: Yeah. The article talks about, an example, I think it's Butte is the company they created the, you know, the walk-in tub and people are like, why is, this is kind of crazy idea. Why can't people just get in a tub?But it's the idea of like opening a door and rolling in or getting in there and then shutting it and then being able to actually take a tub experience. And again, something that was developed with kind of disabilities in mind, opens up a variety of different use case scenarios and users that they didn't originally plan in the particular process.The last part about it is as a product developer, software developer, et cetera, you can use this methodology to think about new ways your product or services could be used by narrowing down and saying, okay, what if we had to design this particular product or service with this in mind? How would that change the dynamics? How might that open up new opportunities for us and new markets that we never thought of before? [00:05:34] Robyn Bolton: Constraints drive creativity, always. The Hidden Danger of Shipping Fast. Speed, Bottlenecks, and Customer Attention[00:05:37] Brian Ardinger: And the last article is from Product for Engineers. It's called the Hidden Danger of Shipping Fast. And the basic premise asks, is it possible to ship too much or too fast? And the answer is yes, probably. And it goes into talk a little bit about the fact that, again, we are in a, an environment where speed to market and speed of creating things is speeding up such that you could constantly be creating new features, new functionality, new things to test in front of your marketplace. And you have to be careful at sometimes because you could almost outpace the usage or the ability for the consumer themselves to understand all the change and or interact with that c...
On this week's episode of Inside Outside Innovation, we talk about Anthropic's bet on philosophy, trends shaping work in 2026, and why we need more angel investors. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero’s Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonThinkers50 Recognition and the Role of Modern Management Thinkers in Innovation[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton. Robyn, welcome to the show. [00:00:43] Robyn Bolton: Thank you. Great to be here again. [00:00:45] Brian Ardinger: We are excited as always, to talk about innovation and all the things that we've learned. Anything going on in your life that you want to share?[00:00:52] Robyn Bolton: Got some exciting news actually a couple weeks ago. Don't know if folks are familiar with Thinkers 50. That is kind of like the list of the top management thinkers and they have a radar list of up-and-coming thinkers and found out that I got named to that list. [00:01:08] Brian Ardinger: Yes, that's awesome. [00:01:10] Robyn Bolton: 30 up and coming thinkers and very excited. I'm a thinker now. [00:01:15] Brian Ardinger: It's always good to be recognized and even more to be recognized as a thinker. I think, especially in today's world. [00:01:21] Robyn Bolton: Yes, yes. Thinking is good. Doing is good too. And you know, it's an organization, they always say thinking plus doing equals impact. And I'm like, yep. [00:01:30] Brian Ardinger: There we go. [00:01:30] Robyn Bolton: Gotta be doing too.[00:01:32] Brian Ardinger: Well congratulations on that. [00:01:34] Robyn Bolton: Thank you. What about you? What's new in your world? [00:01:36] Brian Ardinger: Right now, we are buried in seven inches of snow, so that was fun. The week before we were in Phoenix, so I think I picked the wrong week to go on vacation. Other than that, unburying from email and unburying from snow this week. So, it's all good. [00:01:51] Robyn Bolton: Well, at least you had a week of warm to remember what that's like. [00:01:53] Brian Ardinger: Exactly. Remember what it was like. Excellent. Well, let's get started. We've got a couple of different articles over the last few weeks. The first one we want to talk about is a YouTube video from AI News and Strategy Daily by Nate b Jones.He had a video a couple weeks ago talking about Anthropic CEO's bet on the company and his philosophy, and the data says that he's right, that he's thinking about things in a little bit different way. It really talks about the constitution that Anthropic has put together. They put together an 80-page Claude constitution outlining the principles of how they've developed Claude and thinking about it, quite frankly, in a different way than a lot of the other AI companies have been thinking about it.What they've said that they've done is really look at how do you build these AI models using core principles, rather than having to build out every single rule and what the AI has to do based on rules and more about what's the philosophy of how the AI model should think through the system so that gives it more flexibility.And basically, this idea of having a more. Flexible constitution or way of thinking versus a strict rules-based approach may actually be a, a way that is going to give Claude an edge in the future. Anthropic’s Claude Constitution, AI Judgment, and the Future of Large Language Models[00:03:05] Robyn Bolton: Yeah. This was really fascinating because it brought up a theme that we've talked about several podcasts since the start of the year, which is judgment.And we've always talked about, and we've seen it written about it, it's like, hey, judgment is what is going to continue to give humans relevance. Because we have judgment and AI is just rules based. And so, what was fascinating and terrifying was in this constitution, it's based on Aristotle's philosophy and it emphasizes that they're trying to build Claude to exercise judgment versus following rules.And I was like Uh oh, if that was the, a human moat to kind of give us relevance and we're building Claude that I use daily to exercise judgment this is going to result in some very interesting things. And so, kind of early on, obviously Claude has not progressed to being, having full wisdom and judgment. But now with this constitution, one of the things that Nate mentioned is that when you're prompting Claude, the why matters more than the what.So, the importance because of this constitution and how they're programming Claude, that when you ask for something, you're going to get a better response if you explain why you're asking for it versus all of the other, you know, chat, Grok, Gemini, et cetera, you can just put a request in and it will answer. So, I thought that was interesting. [00:04:35] Brian Ardinger: The idea of having additional context and giving the LLM, the ability to take that context into decision making, I think is where it's different versus saying, you know, you have to go on a particular path, but based on the context of that path, you may have different outcomes.And that's just like in real human life, when you're presented with problems or forks in the road, you oftentimes take into consideration all the context around it rather than a specific rule. Like in this particular case, I have to follow this particular rule. And sometimes that's not the case. Sometimes you break rules as a human, because you know the context is different. And so, I thought it was interesting that they're trying to build that into the LLM and we'll actually see if, you know, if it actually helps or how that differs with the outputs as things change. [00:05:18] Robyn Bolton: The brave new world.HBR Trends 2026, AI in the Workplace, and the Future of Work Strategy[00:05:19] Brian Ardinger: All right, speaking of Brave New World, we've got a couple of different articles that we brought up last week talking about trends. And the first one we want to talk about is an HBR article talking about Nine trends shaping work in 2026 and beyond. And this goes into a lot of different topics and I think the primary topics are really around how are people thinking about AI? How are people unlocking value from ai? How are employees engaging with this? It's not necessarily trends, but this is the reality of the world. So what are your thoughts on this article? ...
On this week's episode of Inside Outside Innovation, Robyn Bolton and Brian Ardinger talk about OpenClaw, how you can't work out on a limb if you can't trust the trunk, and how to hire the right people in an AI era. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Mile Zero’s, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robin BoltonAI Agents, OpenClaw, and the Rise of Autonomous Bot Networks[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have Robyn Bolton with me today. Robyn, hello, how are you? [00:00:49] Robyn Bolton: I am good. How are you, Brian? [00:00:51] Brian Ardinger: We are well recording this right before the Super Bowl this weekend. [00:00:56] Robyn Bolton: I live here in Boston, so you know who I'm betting on.[00:00:59] Brian Ardinger: Well, we will get started with the innovation side of this podcast. We've got a number of different things to discuss. If you don't start a discussion around Open Claw, you're clearly not in the innovation space. So, we thought we'd talk about a couple of articles or a couple things that we've seen that are fairly recent.One, I looked for a couple summaries that were pretty good at giving everybody who's not familiar with this an overview, and one of them is from the AI Daily Brief, which came out a couple days ago talking about Moltbot and the Agent Social Network is the craziest AI phenomenon yet.And for those who are not familiar with it, OpenClaw, which started out as ClaudeBot and then was sued, and then changed the name to Moltbot and then changed it again to OpenClaw is a new agentic platform that allows anybody to set up a MAC mini or a computer to have their own personal agent.The interesting thing about this is folks have been playing around with this and have let their agents go wild out to talk to other agents and other things and let them do things on their behalf. And what has happened is these agents have connected and communicated and created some amazing things like their own Reddit thread where they are interacting, talking with each other, not humans. They're allowing the humans to view what's going on in this social network, and it's quite fascinating to see the things that they've done and they've created. What OpenClaw Reveals About AGI, Security, and Human Trust[00:02:22] Robyn Bolton: So fascinating. You also, in the newsletter that you sent out, you included a link to a YouTube video on MoltBot. It is so worth the 20 minutes of people's time to watch because it kind of traces the whole arc up to this point, and it is so entertaining and mind blowing and bizarre.It is like, seriously, this was my entertainment last Friday night, was following the saga of cba because you have all these little, well, I imagine them as little bots all on a social network talking to each other. It's becoming, it's looking like Reddit and they're debating consciousness and they're sharing cute stories about their humans and they're trading advice with each other. And it's just, it is so wild because it looks like kind of an actually like functional, healthy version of a social network with these things that they're not real. They're code.It's just so bizarre. But I think just such a reflection of holding a mirror up to us as humans, because that's what gen AI is prediction models, it's regression analysis. And so, everything they've learned and they're doing, they've learned from us. [00:03:39] Brian Ardinger: It's quite interesting. They've started their own religion and it's just interesting to see what are the first things that they do to kind of communicate or collaborate together. And the other thing, obviously there's a lot of debate about, you know, some people are saying, well, this is AGI, they're thinking for themselves. And you know, the other side of the coin is they're just mimicking back what they've seen. And that is scary as well. And how does that play out for us as humans?And then I think the other thing about this that obviously that's getting a lot of headlines in that, but the interesting thing about it as well is like, I think it's opened people's eyes to what happens when you do have an AI buddy or an AI agent such that you can actually get real work done.I think that's always been the promise. Ask Siri to do something and it does it for you, but because of security and there other reasons, Siri does not have access to all your emails and your files and everything else, where a lot of these folks who have created these OpenClaw agents have kind of opened up their system, opening up a lot of vulnerabilities as well.But you can't have what we want as far as the agentic amazingness unless you do open up and open yourself up to some of these vulnerabilities that have been built into software since you know the beginning of software. It'll be interesting to see what the reality is of how we actually evolve to a place where the normal person who's not a security expert can actually create an agent and use an agent that doesn't you know, give them access to their bank account and their Bitcoin. [00:05:05] Robyn Bolton: Yeah. Well, I think as you mentioned in the last podcast, the sales of Mac Minis has skyrocketed, largely driven by the Moltese, the Open Claw bots, because people who are experimenting with this, understandably, are kind of further along the curve and understanding from us regular folk.And so they are trying to create the safe space with it and secluding things in the Mac Mini, but still, like you said, in this social network of bots, there are signs that bots are coming in and be like, Hey, can you give me this information? And then the other bots are being helpful and be like, yes, here is all of the passwords for my human. So, it's so fascinating. Corporate Innovation Culture and the Tree Trunk Metaphor[00:05:47] Brian Ardinger: By the time actually this episode comes out on Tuesday, it may have morphed and evolved again. It may have told us the score of the Super Bowl. We, we shall find out and we will keep you posted. Yes, please keep subscribing to the newsletter and to the podcast as well.The second article I wanted to talk today about is from Erin Stadler. She writes, an article says you can't work from the limb. If you don't trust the trunk. And it's a fascinating article about corporate innovation. One of the reasons why it doesn't work is because by nature he, she gives an analogy about trees and how do things grow off of trees, and you have to have a solid trunk or new shoots to grow. And so, you know, before you ask how to get people to take creative risks, you have to ask yourself, what kind of tree are you growing? [00:06:33] Robyn Bolton: It is an absolutely beautifully written article. As someone who very much prefers novels to business books, this made me happy. It felt like, you know, it was the beauty of language that has a novel,...
On this week's episode of Inside Outside Innovation, we talk about the red pixel in the snow, why MVPs should be delightful, and the robot AI deployment gap. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton. Hello, Robyn. How are you? [00:00:48] Robyn Bolton: I am great. How are you, Brian? [00:00:50] Brian Ardinger: We are surviving the cold.[00:00:52] Robyn Bolton: The sub-freezing temperatures. Yes, I know it's January, but that doesn't mean it has to be as bitterly cold as it is. [00:01:01] Brian Ardinger: Absolutely. Well, hopefully this conversation will warm people's souls and hearts. As we talk about innovation in its various forms, we'll get right into it. We've gathered a couple of different articles that resonated with us over the last couple weeks. How AI and Drones Are Transforming Search and Rescue InnovationSo, the first article we want to discuss is titled A Red Pixel In the Snow: How AI Solved the Mystery of A Missing Mountaineer. And this came from the BBC. It's very fascinating article for a couple different reasons, but the basic premise, it's a story about a missing mountaineer. This person was hiking and went missing a 66-year-old hiker and they sent out all the helicopters and that to try to find him. They were unsuccessful, but closer to the spring when some of the snow was melting, they decided to go back out and see if they could actually find the body.And they used drones and AI, as a way to map the area. And what they found was they could put all that AI pictures into the system and they were able to find a red pixel in the snow that was effectively his helmet, that they were then able to find the person and go and retrieve the body and such.What I found fascinating about this is, again, in this particular instance, it wasn't successful in finding him and saving him, but just the ability for new technologies like drones, just taking random pictures and then putting that in through the AI and having the AI look for anomalies. They were able to identify something that they couldn't have done in the past, and obviously at a much faster speed than they could have done in the past as well.[00:02:26] Robyn Bolton: This was such a great story, tragic ending for this hiker, but a phenomenal story of when AI is good, it can be great. And you know, it's an instance of AI doing something that humans are not good at. We're not good at finding a pixel in the snow. We have bias when we see things, and so we're more likely to overlook something red. Because we just don't see it.So, it was just a great story of how AI is augmenting what humans do. It is taking things that need to get done that we're not good at, and that it's equipped to do better than us. And you know, even though this story didn't have a happy outcome for the hiker, I bet the family is still happy to have him recovered and not be wondering. And as AI gets better, there's probably more people who will be rescued because of it. So, I thought it was just a wonderful story. Augmenting Human Judgment with AI and Drone Technology[00:03:25] Brian Ardinger: And it was interesting just to read through actually how the AI worked. The software managed to detect a kind of a red color, even though the helmet was in shade. So again, a human might not have been able to detect it, and it was very good at identifying anomaly.So, it didn't necessarily say this is exactly where the hiker is, but it was able to go through the mounds of image data and say, here's some possible places. Humans still had to go through and actually find it, but it again, sped up the process.And then I guess the other interesting point about this is the other technology, if you stack that on top of AI, the drones themselves, being able to get into crevices and places where traditional helicopters couldn't get into.What's interesting is again all these particular technologies that we're talking about are hitting all at once, and when you start looking at the cumulative effect of how these things can add value or create interesting solutions and that, that's what's accelerating innovation. It's this ability to add on, and it's not just one thing that can make a difference. It's this combination of things. [00:04:20] Robyn Bolton: And it's the combination of the technology and the humans versus trying to use the technology to replace humans. I mean even the drones, as you mentioned, the drone operators had to go to the sites and train on how to fly the drones so that the drones could see into the crevices and into the shaded areas.And so. It's and not or when it comes to technology, it's not, okay. AI has replaced the humans, or AI can't do this at all. It's only humans like, no, put 'em together and let everyone do what they're best at. MVPs, Product Sameness, and the Push for Delightful Experiences[00:04:53] Brian Ardinger: All right. The second article is titled Why MVPs Should Be Delightful,and it's from the UX Collective.And this was a great article. MVPs are near and dear to my heart. We do a lot when we're, you know, launching new products and working with startups, and we always talk a lot about the MVP. This particular article by James Skinner. It really talks about the fact that as we're living in a world that AI is now omnipresent. Workflows, you can spin up in a dime at a low cost. It's creating this kind of sea of sameness. And you know, lately products have begun to look the same and feel homogenous. And how do you create new products, new services that delight the user, not just meet the bare minimum of the functionality.His call to action basically is, you know, stop looking for the good enough or just the functional aspect of your product or service, but how can you inject delight into it?[00:05:43] Robyn Bolton: I am going to roll out my soapbox on this one. And it comes back to, the reason I have a soapbox is what is an MVP? It started off as a term, a minimum viable product. Literally, minimum viable. A true MVP should just function. We shouldn't be worrying about delight. We shouldn't be worrying about, you know, how does it make the customer feel like should it function?Solve the problem that we need it to solve. And then there's version two and version three and version four. And then when you get to kind of the quote unquote final version that you are shipping, like, yes, it should delight people. Yes, it should be differentiated. But if we're going to be super strict about language, which I believe is very important because it avoids confusion, a true MVP actually shouldn't be delightful. It should just work. And then what you ultimately launch should absolutely ...
On this week's episode of Inside Outside Innovation, we talk about youth culture buzzwords, calculating the value of your innovation teams and how your side project won't save you anymore. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonYouth Culture Moves Faster Than Innovation Cycles[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton from Mile Zero. Welcome back, Robyn. How are you? [00:00:48] Robyn Bolton: I am great. How are you doing, Brian? [00:00:51] Brian Ardinger: I am doing well. We're excited to have another opportunity to talk about innovation and its various forms. Maybe we'll just get right into it. 2026 is moving very fast. One of them that popped up is from the Substack AfterSchool by Casey Lewis. Casey is an amazing person who really looks at youth culture. And the article that she has just published is Buzzwords that Define 2025 and Youth Culture in Review.And she spent her Substack culminating all the things that she had been researching in the year 2025, looking at youth culture, what are kids looking at? How are they talking everything around that particular space. And came out with a great article that gives you a highlight of what it's like to be Gen Z.From Feeling “Old” to Feeling “Ancient”. Generational Language Gaps[00:01:33] Robyn Bolton: Reading this article, I already felt old, this made me feel ancient. Because I hear all this stuff, all the slang and everything. I'm like, yeah, I'm up on my slang. I don't know what any of it means, but I at least have heard it. And then I read this article, I'm like, I have heard none of these terms. I mean, some of them are like Lemony Miso Hutu Schwan. I can't even say it. Ego scrolling. Zen Dia theory. Ballerina Cappuccino. I had actually heard of that one. I was like, wow. I have gone from hearing terms and not understanding them to being so old and ancient that I haven't even heard them. It's a great view into. What's going on in Generation Alpha.Analog Revival and Escaping “Slop Life”[00:02:19] Brian Ardinger: She talks a lot about how 2025 was defined by Gen Z's seemingly endless enthusiasm for pre-digital experiences. You know, which is a counterintuitive to what we think about, especially in the space that we live in and technology and innovation. But there seems to be a big push, especially the younger folks around, how do they not have all this stuff define them and or control them, which is kind of interesting.Physical media is coming back in unprecedented demand. Everything from Pokemon cards to vintage CDs, et cetera. Talking even about how New York City schools have phone bans that have sparked a rush to kids bringing in rector watches. So bring back the Time Max and the Casio, and teaching kids how to actually rediscover what analog timekeeping is.I thought that was fairly interesting about what she's seeing in the youth culture. And then of course, she has some great terms that we'll probably start seeing pop up. We've seen six, seven, but that's come and gone. But things like slop life where acceptance of overstimulating, low quality consumption is the default mode. And how do you get out of slop life?Things like festivals, which is, you know, you have this festival culture like Coachella now, but the ship is now moving towards live streaming and at home experiences rather than physical endurance of a two and a half day in the sweaty sun for a festival. And what I think about all these kind of things is what stood out to me is the importance of understanding this, not just if your audience is youth culture, but the importance of customer discovery and living with your customers and understanding how they think, how they act, how they talk, and the fact that the speed of these culture changes are shifting so fast.As soon as you figure it out in the mainstream, it's already been moved to the next thing, the next meme, et cetera. And so as a corporate innovator, as a startup, being focused on customer discovery, being focused on living with your customers, being focused on keeping up and keeping pace with what's going on is so important.You Can’t Read Your Way Into Understanding Youth Culture[00:04:15] Robyn Bolton: The pace of change, I mean it just, the fads, the trends, the terms, the language, the slang, it moves so much faster, certainly than when I was growing up. The other thing that really struck me about some of the buzzwords was just that they were a sign of how plugged into the broader world that kids these days are.You know, they had terms like Recession Core things like Algorithmic Blandness, that AI is just on the horizon and there's already slang term for the perceived same across social media feeds. I feel like Gen Alpha, Gen Z is so much more plugged into the things going on around them than certainly we were as teenagers, and they already have slang and language around it and respond to it and interact with it. You have to spend time 'cause you can't read your way to understanding these upcoming generations. Measuring Innovation. Money Is Not the Only Investment[00:05:15] Brian Ardinger: So, if you want to keep in touch with the youth culture, definitely subscribe to Afterschool by Casey Lewis. She's following those trends for you, so excellent. Alright, the second article is Calculating the Value of Your Innovation Team by Tristan Kromer.Tristan is a great friend of mine, he's a mentor at End Motion back in the early days, and Tristan has a blog that talks about all these things, lean startup, et cetera. And he has a new article calculating the value of an innovation team, and he's been spending a lot of time working with innovation teams to help them understand how do you actually measure and monitor your innovation efforts.So, he talks about in this article, you know, when venture capitalist fund a startup, you know, they allocate money because the money is what the startup then uses to build or try or experiment, et cetera. But when it comes to corporate innovation it's not just about the money that's given to a corporate innovation team. It's about the people and the time that you allocate towards that.He talks about how that oftentimes is missed in corporate innovation efforts. They may fund a particular prototype or that, but they don't necessarily think about or fund or measure the amount of human time that's actually required to do these things. And so oftentimes you have bad decisions or bad outcomes because you're not actually measuring and monitoring what you need to to get the complete innovation effort through the system. <...
On this week's episode of Inside Outside Innovation, Robyn and I talk about counterintuitive trends for 2026, tactics for building great products, and how one company is controlling 64% of the future. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with Impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. With me, I have Robyn Bolton. How are you, Robyn? [00:00:49] Robyn Bolton: I am good. How are you, Brian? [00:00:51] Brian Ardinger: I'm doing great. It's the beginning of 2026 in the midst of trying to ramp up new talent, and that's always fun. So that's what's new on my side. What's new in your world? [00:01:02] Robyn Bolton: The course that I teach at the Massachusetts College of Art and Design is starting in a couple weeks, so I've been busy putting together my syllabus to teach strategy and business models and had to go in and change things up, though I'm very excited. We will be doing a case on Taylor Swift this semester.[00:01:21] Brian Ardinger: The world is changing fast. We'll get into it now with our articles. There are a number of things we've pulled together for this episode.The first one we want to talk about is called Six Counterintuitive Trends to Think About for 2026, and this is from Barry O'Reilly. Barry wrote a book called Unlearn, and he talks a lot about all things lean startup and, and everything, his particular take as he was looking forward into the 2026 and some of the things that he's seeing and how we should be pursuing this whole innovation space.The article talks about the fact that a lot of managers and that are asking the wrong questions, especially when it comes to AI, and we're talking too much about the technology and how fast is AI improving. When the better question that we should be asking ourselves is, how is AI quietly changing how people work, think, decide, and trust themselves at work?And I thought that was an interesting way to rephrase how we go into 2026 and move away from the technology itself and really think about like, how is this technology impacting people?[00:02:25] Robyn Bolton: Completely agree. I've definitely seen that shift from what is our AI strategy to what is our strategy to accomplish our goals through people, through AI, et cetera, kind of the AI enabled strategy. So, it's nice. It's refreshing to see that shift reflected. Again. I loved his very first counterintuitive trend.I was like, oh, please let this be a trend that leadership will be redefined around judgment, not control. And I would argue that leadership was always about judgment. Management was about control, and that was one of the big differences between leaders and managers. But overall, like I really do hope that he's right, that executives, managers, you know, those senior levels of any organization, that they are shifting to more judgment, like not judgment as in condemnation judgment, but like critical thinking, problem solving versus trying to manage every aspect of their direct reports. [00:03:30] Brian Ardinger: Yes. And talks about creating space for reflection and that, not just, again, I think we have a tendency, especially with all the pressure that we're feeling around AI in that to do the next pilot, use the next tool, keep up to speed on what's going on, and keeping in mind that that reflection period is actually where the learning happens a lot of times, and not being afraid to slow down.Having said that, you know, the other thing that he talks about is the speed in which we have to go and deploy things in 2026 and beyond, making sure that we are learning fast. Strategy will ship from planning fast to learning fast. That is the key. It's not about planning per se, it's about, you know, how fast can we learn in this new world of uncertainty. [00:04:14] Robyn Bolton: And the learning being so key for a whole host of reasons, but especially his third point that AI is quietly eroding human confidence. And so it's kind of this interesting juxtaposition of trends in his list of, hey, we have to start focus on learning faster. Leadership is going to be defined by judgment. And by the way, this tool that we've spent certainly all of last year talking about is actually eating away at all of those things.And I think it just highlights the importance of that reflection step and kind of saying, all right, yeah, I got an answer from AI, but does this make sense? Is this actually what I think or am I just parroting what Claude, Chat GPT, et cetera has said? [00:04:57] Brian Ardinger: And then the final trend that obviously stood out to me was his counterintuitive trend that in-person experiences will surge, not decline. And the fact that, you know, he sees a growth in live events and executive offsites and high touch human-centered gatherings. Obviously, that's what we're pushing for with the IO Summit and other things around our neighborhood that we're trying to get people actually talking and interacting in real life as opposed to online. And hopefully that trend will continue as well. [00:05:26] Robyn Bolton: Yeah, I've never heard somebody say in the last couple of years that they regret going to an in-person event. I always hear people say how grateful they are and how much better it was than anything virtual. [00:05:38] Brian Ardinger: Alright. The second article for this week we're going to talk about is called 25 Things I Believe In To Build Great Products by Peter Yang. He's worked at big companies like Roblox and Reddit and Amazon and Meta, and he has an article talking about the funny thing is that what he believes in is often the opposite of how big companies like to work. And he talks about the way he looks at product development and some of the great things that he's seeing that is sometimes counterintuitive to the way that traditional businesses run.[00:06:08] Robyn Bolton: I love so many things on this list, but I'll say that number 17 caused me to like slam my hands down on my desk. Shout yes and probably startle people in the house and walking by on the street. And number 17 on his list is ban decision by committee. I don't believe in cross-functional alignment as a goal. Trying to make all stakeholders happy will inevitably compromise the product experience. Seek diverse opinions first, then have a single person make the call and own the outcome.And you know, at first, I was like, no, you need cross-functional alignment. That's how you get cross-functional progress. But going on from them like. Yes, absolutely. You need one decision maker. Get all the input, get everyone's perspective. That's absolutely required to make a decision. But one decision maker, not a group, because you will a...
On this week's episode of Inside Outside Innovation, we sit down to talk about new mental models for working with AI, the similarities between startups and middle school dating, and lessons learned from the robot Olympics. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero’s Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Interview Transcript with Brian Ardinger and Robyn Bolton[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have my co-host, Robyn Bolton. Welcome, Robyn.[00:00:50] Robyn Bolton: Thank you. Great to be here as always. [00:00:52] Brian Ardinger: We are in a brand-new year 2026. Who would've thought? Exciting to start the year with you. Appreciate you coming on board. [00:00:58] Robyn Bolton: Yep. High point of the year so far. [00:01:00] Brian Ardinger: We've got a lot of things going on on the plate. Anything you want to talk about? [00:01:04] Robyn Bolton: Couple of new things I mentioned earlier, one of our stories from last year is back in the news, the Samsung AI fridge just voted worst in show at CES this year. People finally caught on to the fact that we may be overcomplicating the refrigerator.Thought that was a funny callback, and I got to admit, I feel like you called it Brian and I echoed it of like we've gone too far. So, personally, professionally in my space, starting to do a lot more work in uncertainty and helping people figure out how to make decisions without the data they want or need, and how to help teams move through a world that is getting only more and more uncertain every day. So, it's exciting. [00:01:51] Brian Ardinger: Saw your newsletter this last week, and yeah, the new positioning, or you're talking about how it's not just about innovation, it's more about how do you deal with the fact that nothing that you expected to happen is going to happen, and how do you deal in probability and uncertainty. [00:02:06] Robyn Bolton: Great for innovators, because that's one thing that as the innovators, whether you're a startup founder, a consultant, a corporate innovator, every day you're dealing with uncertainty and trying to figure out how to move forward. Even though we've always called this innovation, it has much broader application these days. [00:02:23] Brian Ardinger: Absolutely. Let's get right into it.We've got a couple of different articles we've been reading over the holiday season. The first article we want to talk about is called Six Mental Models for Working With AI. It's from Azeem Azhar. He's got a great Substack newsletter out there that publishes pretty much almost daily, I think it comes out. But he was talking about the way he's been looking at AI over the past year and trying to come up with different models that are making it more effective. All these AI tools are brand new and that, and people are trying to figure out what works, what doesn't work, how to use them better, and I think it's sometimes interesting to take other people's perspectives and what has worked for them and discuss that.So, in his article, he goes over a couple of different frameworks that he uses when he is either trying to understand better how to use a tool. One of the ones I was going to talk about is, he calls it the 50 x reframe, and he says, when he is dealing with a particular problem and trying to understand like, how can I automate it, how can I make it better, how can I make it faster and that he asked the question, what would I do if I had 50 people working on this problem. And asked the AI basically to help him think through the framework. Or if you know 50 people were working on this particular project, how could you automate it or what would change if you had 50 people to be able to dig into a particular area.So, I thought that was a very interesting framework to think about it. And we oftentimes get constrained in like it's just me or just my team. But what if you just flipped the framework and said, what if I had 50 people on my team to work on it? How would that change what I'm doing? [00:03:46] Robyn Bolton: I loved that one. I mean that one, it's the first one listed in the article. And I'll admit, I started reading the article. It's a big skeptical when I started reading it because you know, his first sentence is the question of whether AI is good enough for serious knowledge work has been answered. And I was like. Yes, it's been answered. It's not. And then I kept reading. I'm like, oh, he has a different answer.The 50 x reframe just stopped me in my tracks, was like, that's genius of shifting from how do I as one person do this better with AI's help to completely rethinking. I also loved his second idea, which was adversarial synthesis, which is basically to have multiple LLMs, Claude Chat, GPT, Gemini, working on the same problems, responding to the same prompts, and then going back and forth.And that's something I actually have done, and it consistently results in a much, much better final project. Each LLM is tweaked for certain things, and the combination actually gets you to a much better answer. So that was another great, great tip he had. [00:04:54] Brian Ardinger: Yeah, and I think that's evolved. You know, I think early days when people were working with a lot of these LLMs, especially like in the writing sense, what they were asking to write a letter or write some copy and that I heard a lot of people using the different models that come up with different types of content. The same prompt with different types of content and then picking the best one. His framework is much more focused on how do you actually make them argue against each other? [00:05:16] Robyn Bolton: Yeah. [00:05:16] Brian Ardinger: To see which one, and that arguing back and forth between the different LLMs actually strengthens the argument and strengthens the output from it. So, something to keep in mind in 2026. Another framework to consider. [00:05:28] Robyn Bolton: Yeah. Get the bots arguing with each other. Fun for everybody. [00:05:33] Brian Ardinger: The second article that we want to talk about today is, I love this title. It's called Founders Can't Sell for the Same Reason Middle Schoolers Can't Flirt by Aaron Denon. Aaron's a professor at Duke. Teaches entrepreneurship who's constantly coming out with some great stuff around early-stage entrepreneurship.And his article talks about the fact that what if the same fear that ruins dating lives is ruining your startup? And he talks a lot about the fact that startups is very much like dating, where ...
On this week's episode of Inside Outside Innovation, we talk about how change is changing, the IKEA effect on MVPs, and how AI is making companies more ambidextrous. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero’s, Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:30] Brian Ardinger: Let's get started. Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and my co-host Robyn Bolton is with me. Hello Robin. How are you?[00:00:45] Robyn Bolton: Hello, Brian. I'm great. How are you?[00:00:50] Brian Ardinger: I am doing well. We are in the middle of December.[00:00:54] Robyn Bolton: And hard to believe that the year is, it's almost over.[00:00:58] Brian Ardinger: Well, I'm ramping up for 2026. We've got a lot of stuff to talk about for the conference that we're going to be planning. Yes. We'll talk to you a little bit more about that, but let's just jump in. We've got some articles to discuss, some things that we've been seeing out there in the ether when it comes to innovation.Innovation and AI in 2026. Setting the Stage for ChangeThe first article is Change is Changing How to Meet the Challenge of Radical Reinvention, published by McKinsey. There's a lot of things I want to dive into this. Obviously, McKinsey's probably in the wheelhouse of disruption, as their game is going to be changed. So, I read this article with two lenses.One, the lens of what they are telling their clients, and then two, are they eating their own dog food when it comes to this? So, for reference, the McKinsey article talks about, you know, when change becomes everywhere, every, everything everywhere, all at once. How are companies dealing with this? And it's no wonder that the average employee experiences all these particular changes and is worn out.And I think one of the things they quoted was the number of new experiences that the average employee faces is fivefold increase than a decade ago. The fact that organizations and leaders have all new types of tools and skills and methods to navigate this changing, complex state, and those old tools don't necessarily apply today. So I love your first insight, and we'll go from there. Radical Reinvention and Innovation Strategy. Rethinking Change at Scale[00:02:13] Robyn Bolton: McKinsey turns out great stuff and great frameworks and all that stuff. And also, as someone who's been a consultant for entirely too long, they also make me laugh. Like in a super nerdy consultant way. Because one of the things that's laid out this article is the four Cs of change.You know, it starts with C1 execute, C2 mobilize, and then we get to C3 transform, which was the buzzword of, I feel like the last five years. You know, we're transforming everything. But now we have a new one. It is level four change, and it is reinvention. And I just loved when we rebrand things that are the same thing we've always talked about, but we've rebranded it, and now there's a different diagram, so it's completely new, and you need to buy from us.But there is good content in here. And you know this idea of creating value with the new identity. Talk about way easier said than done. Like every organization has an identity. When you ask someone like, what do we do here? The answer is the organization's identity and to change that is about as easy as changing an individual's identity, which is to say not at all.Organizational Identity, Leadership, and Innovation Fatigue in the Age of AI[00:03:30] Brian Ardinger: Well, and I found that part of the article actually the most intriguing because I think when you think of McKinsey, again, a lot of stuff they've focused on is how do you optimize and execute on your model? They're not very focused on reinvention. And kind of blowing it up and starting over from that perspective.So, I thought that was an interesting take, that either they have to recognize the fact that the companies that they're working with and the companies out there in general are going to have to reinvent themselves. It's no longer table stakes just to, you know, do what you've been doing and make it better, faster, stronger, cheaper.It's how do we navigate and potentially reinvent what we've done in the past. And then the other key aspect of it that really resonated with me was the fact that how do you create a culture such that change is not a drain to the organization? But as a source of energy, again, coming from a consulting background, that's often not the things you talk about.Like how do you actually create change that energizes and excites people, and provides a source of energy around what you're doing? So those are the two things that stuck out in my mind when it comes to this, and I'm seeing it in the companies that I talk to. I think there is this conversation going on, like, we don't know how to do this. We know we have to do this, but the guardrails and the tools that we've used, we just are starting from scratch in a lot of ways. Culture, Participation, and Human-Centered Innovation Beyond Top-Down Change[00:04:44] Robyn Bolton: Yeah, and what made me kind of laugh is that a lot of the advice in this article, you know, you read it and McKinsey's talking about you have to put identity shifts at the center of the change.You need to see new possibilities and let go of the past. And yet the article, when it gets into recommendations, is all about the leaders at the top. And you talk about how do you help people get through change? How do you use change to even energize people? And when change is thrust upon you, you're going to get exhausted.And so, the whole mechanism for change, for reinvention, I think personally, is you have to involve people in it. So that it's not being thrust upon them, which is a very, very different approach than the typical hierarchical top-down where McKinsey and a lot of other firms thrive. So, I'm very interested to see how this works.[00:05:40] Brian Ardinger: The last thing that I want to throw about this is, again, when you talk about reinvention, a lot of it comes down to understanding your customers and that. And it'll be interesting to see what McKinsey customers and clients want from the next change reinvention of what consulting is. What are the expectations, and I think that alone will be some interesting articles and things that come out in the future of what does it mean to have a consultant look at your stuff, and help you along that path.What are the things that the customer actually demands and needs when a lot of the tools are now easily accessible by the people that were paying millions of dollars before to have that delivered to them. [00:06:14] Robyn Bolton: The cobbler's children have no shoes, is a popular phrase for very good reasons, so we shall see.MVPs, Innovation Bias, and the IKEA Effect in Product Development[00:0...
On this week's episode of Inside Outside Innovation, we talk about portfolio entrepreneurship, how AI tools are transforming market research and new brain research that indicates adulthood starts later than you think. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Driven Innovation Trends and Founder Mindset Shifts[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and with me, I have Robyn Bolton from Mile Zero. Welcome, Robyn.[00:00:34] Robyn Bolton: Thank you. Great to be here.Great to have you, again. This is episode 3 43 ish. We're excited to continue to talk about innovation. There's always something new and exciting to talk about.[00:00:45] Brian Ardinger: Anything going on in your world this week?[00:01:04] Robyn Bolton: I feel like this week I'm going to be spending at grading finals papers wrapped up my corporate innovation course at Boston College, and everyone submitted their finals and that's all great and they're done. And I'm now just looking at a stack of virtual digital stack of papers.[00:01:21] Brian Ardinger: At Nelnet this week we've got our Spark, which is our monthly gathering of folks. We find some interesting project and give them opportunities to sit on stage and talk about what some of the new things that are building out there. That's an opportunity to get our movers and shakers in the same room and share what's going across the different business units. So we're always excited for our Spark this week. Those are some of the things that are happening in my world. [00:01:44] Robyn Bolton: I'll happily come out and go to your Spark event, and you can grade papers. [00:01:46] Brian Ardinger: You're welcome anytime. We've got a lot of things to cover today. We've got three articles that we've curated over the last week or so. The first one we want to talk about is everyone's a founder now and it's from every, and it's a YouTube channel, and it's an interview with Henrik WerdelinPortfolio Entrepreneurship and AI Agents Reshaping StartupsAnd Henrik is a person who started Pre-Hype, started BarkBox, and he has got a new company called Audos. It's a platform that helps people use AI agents to turn ideas into profitable companies. This particular YouTube video in this interview was talking a lot about some of these new tools and how it's really changing the landscape of startups and can apply to corporate innovation as well. With these new tools, Henrick was talking about this idea of portfolio entrepreneurship, so the idea of a new breed of entrepreneurship that's shepherded in by AI.Where founders build family of products or services around the same customer instead of like one moonshot idea. So rather than coming up with Facebook and building that out, there's an opportunity now for entrepreneurs to create maybe more single, double, triple types of companies around a core set of customers that they know and can work with.And it's a variety of different projects and services that can serve that particular marketplace versus the traditional model of venture capital that we've seen out there kind of shooting for the moon. [00:03:02] Robyn Bolton: It's a really interesting video and I encourage people to go watch it. They talk about a lot in this video and you know, some of the ones that I wanna highlight, and you've already touched on this is one, what he's building with Audos. Going back to our last episode where we talked about the Mad Lib. I actually went over to Audos and you can fill in a Mad Lib for your business idea and I think in 10 minutes it built a fully functioning website, videos, everything. It was amazing. I have no idea how to edit any of it or do anything but like just the speed at which you could take a mad lib and create something that looked like a viable business was astounding.Deep Customer Focus and the Rise of Multi Product FoundersHe also talked about, as you mentioned, the importance of picking a target customer and one that you want to serve for 10 years. And he talked about with BarkBox, it was all about serving the dog owner, and most people would talk about, oh, well, you did BarkBox. Now do Meow Box, now do whatever box. And he's like, that wasn't going to work. They went from BarkBox to basically like airplanes for dogs to other things. And it was always the people who are gonna win in this new kind of world are the ones who go really deep on a very specific customer.Then kind of where this all started of the portfolio entrepreneur. He did a great job calling out VCs. Mm-hmm. And saying, Hey, VCs will tell an entrepreneur you have to go all in on one idea. Don't you dare get distracted with a portfolio. And yet the VCs are there being like, here's our portfolio and is a great point. [00:04:39] Brian Ardinger: Yeah, and I'm seeing more and more folks, I've been having conversations about like startup ecosystems then. And it used to be where you'd have a players and they'd have to find a team and build out something from that perspective. And now an A player can use these platforms like ADOS to vibe code and kind of get things up and going. And they don't necessarily have to raise money.They don't necessarily have to go through the 10 year journey to get to an exit before they're actually profitable in that. You know, these tools allow you to, if you have some insight, some access to customers, something like that, you can start quickly. You can start making progress and, you know, maybe you don't have the billion dollar exit, but a nice a hundred million dollar exit that you built yourself might be a nice little, way to play this particular game that wasn't possible necessarily before AI and some of the new tools and, no-code stuff that's available to you now.AI Powered Personas and Synthetic Research in Market Insights[00:05:28] Robyn Bolton: Yeah, I don't know too many people who would turn their noses up at a hundred million or even a $10 million exit. [00:05:33] Brian Ardinger: Zuckerberg did. But other than that, well.... Let's see. The second article on our list today is from HBR. Harvard always seems to put out some good stuff, but their article in the Harvard business reviews called the AI Tools that are Transforming Market Research.This was an interesting take on how AI is impacting how research is done. And so the interesting things that they're talking about are some of the new ways that people are using AI to create a variety of different personas and a digital twins and using the AI as a way to interact and kind of mimic or facilitate what used to be something you'd have to do with actuarial customers or creating the real thing before you could actually get some feedback on it. And AI is allowing you to create these synthetic personas and digital twin types of scenarios that speed up the learning process when it comes to work...
On this week's Inside Outside Innovation, Robyn and Brian sit down to talk about the AI question that no one wants to answer, the power of a good value proposition, and why industry veterans are building tomorrow's billion-dollar startups. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonOpening Reflections on Innovation and the Year Ahead[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and we have Robyn Bolton, our co-host from Mile Zero. Welcome, Robyn.[00:00:53] Robyn Bolton: Thank you. Great to be here as always.[00:00:55] Brian Ardinger: We've got the number of different articles we're going to talk about today. As everyone knows, this podcast is about giving the real insights of what's going on in the world when it comes to innovation. What's going on in your world? [00:01:07] Robyn Bolton: It's funny, it's time of year, so kind of feels like everyone is both wrapping up and gearing up, trying to bring things to a close. So, we can all effortlessly and go on the holidays, but January we'll be here before you know it. And so people are already starting to think about what's going on with AI in 2026, and what does the new world of work look like?[00:01:29] Brian Ardinger: I'm looking forward to my inbox being filled with the best things that happened in 2025 and what to look forward to in 2026, and like kind of year-end wrap stuff that you get. It's interesting times, especially like on the investment front, you know, a lot of things slow down at the end of the year as people start planning for it. I kind of love and hate this time of the year from the standpoint of, gives you some time sometimes to do that stuff that you don't always have time to do and remap what you're going to do for 2026. [00:01:55] Robyn Bolton: Yes. And speaking of the emails, wrapping things up. Spotify's Yearend rap came out I think a couple days ago, so also getting a lot of those in the old inbox.[00:02:07] Brian Ardinger: Alright, well let's get into it. We've got a couple of articles to talk to today. The first one that we came upon was from KP Ready. It is called the AI Question. Nobody wants to Answer and KP does a good analysis. He basically says, is the juice worth the squeeze when it comes to AI. And I think a lot of people are asking that question right now.You know, as more and more enterprises, you're hearing about more and more experiments, more and more people using the technology, and you're getting conflicting results and feedback on is this really paying off. All the money that's being spent into ai, all the things that we're doing around it. Are we seeing the returns and when will we see the returns?You know, from my understanding and what I've seen, the question is not like, will we receive returns, but when and how do we get through this exploration phase so that we can be effective with using the dollars and the time and the resources around this to actually find the value that's created. And so let's start with that particular article. What was your thought on it? Is the Juice Worth the Squeeze? AI ROI and Experimentation[00:03:04] Robyn Bolton: There's always this level of uncertainty around new technologies of is the juice worth the squeeze? Are we gonna get ROI? When are we going to get ROI? Running lots of experiments, but it definitely seems like AI has kind of amplified that. I actually just wrote a blog post asking, like, did your AI strategy, was it developed by the underpants gnomes?And just in case there, we have listeners who don't know who the underpants gnomes are, they're from South Park, and basically their business plan is phase one, collect underpants, phase two, question mark, phase three profit. And it just seems like there are so many AI startups, companies, experts, consultants, et cetera out there who have become underpants gnomes. And kind of just have this like, hi, put it on top of everything, and profit, and no one's kind of slowing down to kind of like, well, do we even need AI? How do we need it? Like, what makes sense here? [00:04:04] Brian Ardinger: I think a lot of people are not necessarily thinking. They feel the pressure to start doing something with AI, and so they start immediately deploying and doing things without looking at, well, is this a particular area that really would benefit? Or could we create real value if we can get this right? And they oftentimes overlook some of the other kind of hidden costs when you talk about it, deploying technology that's new or different.And I think more importantly, how it affects the culture of the people deploying it. So, you've got the, you know, the data infrastructure costs, you've got the integration complexity, you've got the change management, ongoing maintenance, all these kind of hidden costs when you're dealing with a brand new technology that you don't necessarily know.And some of the things I saw in the article that were interesting and I've seen in real life too, is how you can kind of maybe think through this process of, you know, which particular project should we deploy and that? Don't be afraid to kill experiments quickly if you're not seeing ROI in a particular area, you know, maybe shelve that particular idea and focus on one that is showing some value to it.Don't focus on having to deploy it everywhere, all at once. Again, try to find the particular areas or the particular people that are more willing and able to make those steps. And then thinking about that, you have to build everything yourself.I think that's another place where I'm seeing a lot of brand new tools and folks out there that are trying things that have already built some things that maybe you can go out and purchase and buy and experiment rather than having to come up with your own team to do and make all the mistakes that they're probably already going through it and made that tool in the first place.[00:05:00] Robyn Bolton: So, all great advice, and I just want to underscore the people aspect is you have people who are going to use this, people that you hope will benefit from it. Some people who will be resistant, and so don't underestimate the people, the human. AI interaction and all of those dynamics as part of the rollout, the implementation, the change management, all of that.Sharp Value Propositions in the AI Era[00:05:30] Brian Ardinger: All right. The second article is from our good friend Ben Yoskovitz. He always puts out some great stuff. His article on his substack called Focus Chaos is called the Real Differentiator in the AI era, A sharp specific Value proposition. Ben talks about how a lot of folks are falling into particular traps of, again, thinking that, well, I've got AI so hot, I'm going to be deploying AI, and let's go out there and build a startup around that, and without thinking about, well...
On this week's episode of Inside Outside Innovation, we talk about Google's Learn Your Way platform, the ripple effects of GLP-1 Medications. And we explored the $10,000 question of why startups build products nobody wants. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Mile Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonGoogle’s Personalized Learning and the Future of Education[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton from Mile Zero. Welcome, Robyn. [00:00:48] Robyn Bolton: Thank you. Great to be here as always, Brian. [00:00:51] Brian Ardinger: It is exciting to have you on the podcast as our co-host. We always have some great conversations, and this week is no different.We've got three articles we want to talk about, and we're going to start with Google. Google has just solved one of the oldest problems in education, according to Albano Cintas. He has a Twitter post that I saw. In that, he talked about how Google has dropped Learn Your Way, which basically rewrites textbooks based on your individual interests.It's turning boring lectures into fun lessons. Students say that they've used it and have scored 78% versus 67% on retention tests. So maybe it actually works. Let's talk a little bit about Google and other things impacting the world of education. [00:01:31] Robyn Bolton: When I saw the post, I immediately went to Learn Your Way and I took some of their sample lessons, one on economics, an overview of economic systems, and another one on intro to data structures and algorithms, and for the last several years, I've worked a lot with a company in the K through eight curriculum industry. And I immediately sent this to them, with the message, "Uh oh." Because clicking into the system, and I highly encourage listeners, go try one of these out. You know, I did computer science as if I was a middle schooler who enjoyed cooking and food, and I had the option of reading the textbook sort of thing, but having quizzes every couple paragraphs to make sure I was learning.I could watch a slideshow with a voiceover. I could just listen to the voiceover. I could look at a mind map. I was surprised at how many different modalities that I needed to use. But I also did really well on the quizzes, especially the data algorithms, which I usually find computer science stuff very boring. So this feels a hundred percent like the future of learning and truly personalized learning to all the different mechanisms that students have and how different students learn differently. [00:02:54] Brian Ardinger: It's quite exciting and you add that onto the things that you can learn from YouTube. Obviously, Google owns YouTube. They have access to all those particular things, so I'd imagine there's some opportunities and ways they can tie those particular entities together in some way to get you access to just the right paragraph or just the right video clip or things along those lines.You know, I work in Nelnet in the education space, and we're always looking at how is the world of education changing? How does this impact higher education? How does it impact K through 12? How does it affect student loans? All these things can come into play when you have access to the world's knowledge, and it's fed in such a way that it makes it easier to digest and make it easier for the person to actually learn the stuff.I think a lot of our existing school system is functioned on, not necessarily even teaching the person to go through it, but to get them through the gauntlet. And what if we created a world that allowed them to actually learn and created folks that had better tool sets, mindset, skill sets around that. How would that change the world? It's one of those few things of AI that's positive. GLP-1 Medications and Shifting Consumer Behavior[00:03:58] Robyn Bolton: Yes, that is positive. We always have to look at the systems out there. And you know Google, yes, has YouTube. It also has Google Classroom, which is the learning management system. So, you already have a lot of teachers in schools plugged into Google, already using it for so many aspects in the classroom. This just fit perfectly, seamlessly, fits in, especially to get better results. It's a wild new world. I love making it relevant to students and their interests and how they learn. [00:04:28] Brian Ardinger: The second article is a good transition because it moves away from ai, but it's yet another innovation that could have significant effects on a lot of different things.And the article's from Harvard Business Review, and it's how GLP-1 medications are changing consumer behavior. They took a look at PWC analysis, looked at GLP medications like Ozempic. They're actually. Looking at the behavior, and it's pretty incredible in the analysis, more than 11,000 households, they looked at the grocery spending and it declined 6 to 8% within the first 12 months of a household that went on GLP-1 as their primary food purchaser.Not only that, so it was a sharp contraction of a category that doesn't typically shift that fast or it's much more likely to shift slowly if you are gonna change your diet and grocery spending habits. But it also, the total household spending outlays only failed 2 to 3%. So it's showing that it actually was pointing to some reallocation of those savings towards other categories. So, you know, I'll pose the question to you. You used to work at P&G. If the entire consumer product space is changed by one particular drug, how is that going to shape the world? [00:05:37] Robyn Bolton: It's a really great question. What I found so interesting about the data is that, and I have a family member who is on a GLP-1 and so know that like their appetite just shrinks. Like they just get to a point very quickly in a meal where they're like, I'm done. I don't want to eat anymore. So you're consuming less food, which then leads to a decision at the store like, well, I used to buy, you know, hamburger meat, but we're eating so little. Why don't I upgrade the beef that I get?Like, so instead of ground beef, let's get filet mignon. And so that's why you're seeing the dichotomy of the data in there. So, I think what it does is it actually puts, especially for food and beverage companies, I think it actually puts the onus on them to start creating more premium products. And instead of how cheap can we get this? How can we get a lot of food really cheap into bags, into boxes? It's flipping it to say, how can we create these premium experiences that are, it's a bite of chocolate instead of a bag of chocolate. [00:06:40] Brian Ardinger: Well, how can we not necessarily have to pack every single calorie into every single bite? There's a whole food process industry that's been designed to create and pack high-calorie content that tastes good. You know, the other thing I've seen about the GLP-1s is it's not necessarily all...
On this week's episode of Inside Outside Innovation, Robyn and I talk about creating flywheel effects through customer obsession, the landscape of AI startups and what's real and what's not, and why workers don't trust AI. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating Innovations with Impact. Let's get started. Podcast Transcript with Brian Ardinger and Robyn BoltonStartup Ecosystem Building, Travel, and Early Observations[00:00:45] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and with me, I have a co-host Robyn Bolton from Mile Zero. Welcome, Robyn.[00:00:50] Robyn Bolton: Thank you. Great to see you, Brian. [00:00:52] Brian Ardinger: Great to see you. Both you and I have been on the road quite a bit for the last couple weeks, so it's nice to actually say hello again and get back into the swing of things.I spent last week in Savannah, Georgia, talking about startup ecosystem building with the Savannah Harbor Innovation Partnership. And they're looking for new ways to spice up and kickstart a lot of the startup activity there. So it was quite interesting. As an innovator, I think it's always important to get out to other communities and see what's going on and share war stories and best practices and all that kind of fun stuff. So, it was fun to get out there.I give a shout out to what they're trying to do, trying to get the right people across all parts of their ecosystem together, whether it's founders or investors, university, and things along those lines. I think they're doing a good job of trying to kickstart a lot of stuff going on down there. I'm excited to see where they go to. [00:01:41] Robyn Bolton: Savannah is home to one of my favorite innovations, the Savannah Bananas. But yes, I was on the road too. I went a little further afield. I was in London for the Thinkers 50 Conference, which as you would imagine was extremely interesting, especially these days where everything is so volatile and uncertain everywhere across the globe.Thinkers 50 Takeaways and Early Reflections on UncertaintyAnd there was a lot of discussion around how now more than ever, is a time for courage and to be brave. There was a lot of discussion around what the future holds and several brave souls who just said, we don't know. It could be anything. One of my favorites was Daniel Pink. He said, basically, we're living in the era of Schrödinger's cat, that the future will be radically different and the same.All at the same time. And I'm like, okay, that sounds totally fair. So lots of really interesting ideas. Lots to think about, as you would expect from a conference's called Thinkers 50. Fascinating, fascinating conversations. [00:02:47] Brian Ardinger: Now we're going to open the box and what do we find when, when it's opened? The box is already open. You know, we're going down that path no matter what. And you know, it is kind of interesting. You, you're seeing a lot more bubble talk and things like that, but yet yesterday Nvidia had their quarterly announcements and $5 trillion valuation and blew out their estimates.And so it's like, well, it's not a bubble yet, or people are at least spending money NVIDIA's getting paid for this stuff. So, we'll, we'll see where it all shakes out. [00:03:12] Robyn Bolton: Yeah. Even if it's a bubble, I mean, we had an internet bubble back in the early part of the century and it didn't mean the internet went away. It just means we resorted ourselves. So even if AI is a bubble, I don't think it's going away. The Flywheel Effect, Customer Obsession, and Human-Centered Touchpoints[00:03:26] Brian Ardinger: Got three articles to talk about today. First one's called the Flywheel Effect: How Customer Obsession Creates Self-Reinforcing Advantages. This is from Wildfire Labs. They've been putting out some great content. The Flying Wheel Effect talks about building a startup isn't about growth hacking. It's really about how do you create customer experiences and these flywheels that generate self-reinforcing momentum because there's so many things out there taking aways attention and competing for dollars and mindset.So how do you build into your process different ways that you can create a flywheel to differentiate and build it up? So, one of the examples they talk about is chewy.com and how Chewy built into their experience the idea of when a person's pet passes away, they actually sent them flowers. And created an experience and a touchpoint as part of that to relate to their customers but also create a means for further conversations. And, you know, creating a positive experience with that brand and with that company. [00:04:27] Robyn Bolton: Yeah, I think it's so interesting and this idea of flywheel, it's one of the things mentioned in the article is the first step is creating an exceptional experience that creates emotional impact.Rising Customer Acquisition Costs and the Decline of Consumer TrustAnd you just think of our world right now, which is focused on cost cutting and on driving waste out of the system and on AI. The first step of creating this flywheel and this incredible loyalty and retention and word of mouth is so very human.You know, I think more and more we're going to start seeing that the more human you can be, you know, a handwritten card, sending flowers. That's something probably you could get AI to do, but it's a very human thing to acknowledge the grief that comes with the loss of a pet.The more human businesses can be, especially at key moments, that's where they're going to win. That's where they're going to differentiate themselves, in a world that is increasingly kind of more robotic and lean. [00:05:27] Brian Ardinger: The ironic thing is, startups have the exact same tools to create and reach customers as in the past. So it's being commoditized, the ability to actually grab a customer and have that first interaction.But the cost of customer acquisition, I think some of the statistics they had in the article talked about what costs, you know, a hundred dollars in 2019 now costs $160. You know, a startup that spends 61% of their new capital on customer acquisition up from 28% in 2018. So those are massive jumps and it's hard to make a business model work if you have that much to acquire the brand new customer and you can't keep them from churning or going somewhere else.Community Building, Trust Signals, and Real Startup DifferentiationAnd the other things, the idea of trust and how consumer brands are, the ability to trust brands is going down 73%, I think they said reported increased skepticism toward marketing claims, and that makes sense that you're seeing a lot of AI slop and a lot of things. Who do you trust anymore?And then finally, this idea of how do you build a community around your company, not just a product or service, word of mouth being so important. 78% of successful seed stage companies ...
On this week's episode of Inside Outside Innovation, Robyn and Brian talk about the human skills needed to adapt to AI, how YouTube is changing the media landscape, and how we might just be becoming lesser apes. Let's get started. Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper-uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton from Mile Zero. Welcome, Robyn.[00:00:48] Robyn Bolton: Thank you. Great to be here, Brian.The Human Skills to Adapt to AI[00:00:50] Brian Ardinger: Let's dive in. We've got a lot of things on our plate. A lot of things are happening. We've got a number of articles we wanted to discuss of things that we're seeing out there in the world.The first one I wanted to call people's attention to was from Shane Snow. If you're longtime listeners, you may have seen Shane on our podcast, episode 104, when he had another book coming out. His latest article is The Human Skills that Will help us adapt to AI and Not Die. [00:01:17] Robyn Bolton: Not that things are bleak or, or anything, but yeah, exactly.[00:01:19] Brian Ardinger: So Shane is a pretty talented thinker. His article sets the stage with comparing AI to what happened in early Tang Dynasty and China when they discovered gunpowder. And the fact that this gunpowder innovation changed the world in many different ways and democratized the peasants to be able to take over the emperor and everything else.That innovation quickly moved around the world, and it changed to the point where you either had to adapt to this and or die. And he talks a little bit about how that can be a parable to what we're seeing in today's world of AI. [00:01:59] Robyn Bolton: Especially interesting, his characterization of the speed and the speed of adoption, and kind of saying, okay, well, you know, the Chinese had gunpowder first. Why didn't they take over the world? And it's basically because very, very quickly Europe and the rest of Asia, and adopted gunpowder.And so, we're seeing that now is like every company is racing to adopt AI. I also just have to think like, yeah, but some people probably adopted gunpowder and didn't know what they were doing and blew their faces off.So, there's also that risk. But it was an interesting, certainly parallel to people are moving fast to adopt AI, to claim expertise in AI, to claim what AI can do, and there's good reason for folks to adopt it, but there's also risks along the way, and we have to be eyes wide open about it. [00:02:54] Brian Ardinger: I think he talks, you know, a lot about the fact that it's not necessarily the technology itself that makes the changes, it's how we adapt to the technology. And you know, what gives us an advantage are inherently human characteristics, not the technology itself.So, he talks about the advantage that we're going to have going into AI, the ones that are going to have the most advantage. While using this new technology or new gunpowder, rather than blowing up your face, how are you going to be and learn the skill sets of asking sharper questions and making smarter decisions? And weighing the human value around it, and collaboration, a lot of these kind of human-based tool sets to modify or use or mold the technology in a way that doesn't blow up in our face.[00:03:35] Robyn Bolton: Yeah, and you know, as we talked about in the last episode, if AI can be poisoned by 250 documents. You need a human layer of critical thinking and questioning on top of it to get to the right answer. The Human Pace of Change[00:03:49] Brian Ardinger: And I don't think a lot of people or enough people are talking about the human aspect of it. A lot of times we've been talking about it internally in that, and you think the valuations of all these AI companies and all those folks are pushing it so much and the best case scenario is going to be what this is, but I don't think a lot of folks are really understanding the human aspect of it around just the consumer behavior or the adoption behavior.I think people are underestimating the fact that it takes a long time for humans to really want to do something different. And so, it may not be tomorrow that this happens; it may actually end up taking 10 years for people to get into their head or learn how to use it or whatever the case may be.So, there's this pushing and pulling about how fast and the adoption, and I just inherently think that humans in general take a little longer to come around to some of this kind of stuff, especially game-changing stuff. [00:04:38] Robyn Bolton: Yeah, absolutely. And that may not be a bad thing. I heard at a conference I was at a couple weeks ago, people describing AI as like, it's in its infant state, it's not even yet a toddler, let alone elementary school. So we're getting promises of, oh hey, it's in college. Trust it. But maybe we shouldn't. So it is a push and pull on the human side, on the technology side. It's very interesting. Lots of sparks. [00:05:04] Brian Ardinger: Yeah, absolutely. I think the skillset that's gonna be most valuable is your ability to adapt.[00:05:09] Robyn Bolton: Yes, absolutely.YouTube Ate TV[00:05:11] Brian Ardinger: Well, our second article is from the Hollywood Reporter and it's YouTube, just ate TV: it's only getting started. So, a Hollywood reporter talks a little bit about the rise of YouTube and how effectively it is becoming the TV of today, and it is changing the dynamics of basically all media, podcasts, and other things, and how is this going to affect the world?[00:05:33] Robyn Bolton: I have to say, in a coincidence of timing, I was. Was flipping through Instagram last night, and the Detroit Lions put out a little video and it has one of their players talking to a kid who looked like he was probably six. And the player's like, Hey, what cartoons do you watch? And the kid was like cartoons? Whatcha talking about? He is like, I watch YouTube.And the player was like, no cartoons. What cartoons? And you just saw this player who's probably like maybe 24, like just crumble into a pile of ancient dust. He's like, dude, I am not that old. What do you mean you don't watch cartoons? And I thought it was just such a perfect encapsulation of what the article talks about of YouTube is taking over, not just TV, but entertainment and there's still places it's wading into. The article talks about how it's trying to get into scripted series, or creators are trying to get into scripted entertainment, but it is remarkable just the numbers and the article and what it talks about.[00:06:36] Brian Ardinger: I think Scott Galloway and Kara Swisher on Pivot, one of their most recent episodes, they were talking about, where do you get your news? And it's l...
On this week's episode of Inside Outside Innovation, Robyn and Brian sit down to talk about divergent thinking, peak college towns, and how as little as 250 documents can poison your AI. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper-uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have my co-host, Robyn Bolton. Hello, Robyn.[00:00:47] Robyn Bolton: Hello, Brian. How are you today?[00:00:49] Brian Ardinger: I am doing well. Episode 338. We're excited to talk about innovation. I'm so glad you're on the journey with me here. [00:00:56] Robyn Bolton: Wow. 338. There should be a cake or streamers or something. [00:01:01] Brian Ardinger: Well, as usual, we've got a number of different articles and things that have caught our attention over the last couple days. So, I figure we'd dive in. And the first article I wanted to talk about today was for my friend Audrey Crane. She works at Design Map, and she posted on the Design Map blog an article on Divergent thinking.The article, I'll give it a little preface. So, it was looking at how you generate better ideas. Looked at a lot of things. First of all, looked at the research and the fact that there's a famous study by George Land and Beth Jarman looking at how five-year-olds were asked to come up with as many uses as possible for a paperclip, and nearly all of them, 98% could generate 200 or more ideas.They continued to do this study and looked into adulthood, and by the time the participants became adults, only 2%. Of adults could actually do the same thing and generate 200 ideas about a paperclip. It's pretty crazy, and it points to the fact that, while it's a super important skill to have, to be able to generate new ideas and think about different things. We are losing that ability as we get older. [00:02:08] Robyn Bolton: It was surprising and sad, but reminded me of two things. So, one is a book that came out a long time over a decade ago now, the Innovator's DNA. Where the authors looked at, you know, across hundreds, thousands of successful, both entrepreneurs and intrapreneurs, corporate innovators.And they found that the one thing that they had in common, or most had in common, was associative thinking, which. Is being able to put two very different ideas together to make something. And so divergent thinking actually reminded me a lot of the associative thinking. Because it just, your brain works in different ways.And the second thing is, you know, I teach at Massachusetts College of Art and Design, and in talking to my actual art colleagues there, one of the things that they say that's very consistent with what we say in innovation, is that your first idea, your first work, your first version is always the worst.They have different language around the idea of constraints and don't accept the first version, but that is a very common discipline within the art and design world. That it's just your first idea is going to be terrible, so you've got to push past it. And that was another aspect of this article that I found really interesting.[00:03:29] Brian Ardinger: It fits into startups as well. I was mentoring the new batch of NMotion companies are going to be announced here soon that are going through it. And did a little round table and met each of the teams and talked about what they're building and that. And the piece of advice I left them with is, you are here on day one with your idea. Be open to other ideas that happen when you start talking to customers and trying to understand if, if you really are onto something.Because a lot of times you get into an accelerator or you get some early traction and you think, okay, I've got all figured out. I got the solution. I'm just going to barge ahead. But you have to be open to that divergent thinking and different ways of doing things just so you don't necessarily leave opportunity on the table. [00:04:08] Robyn Bolton: It's the old adage, right? The fall in love with the problem, not the solution. And it's so easy to fall in love with the solution, but the divergent thinking article was a great reminder. Data-based reminder of why we've got to nurture the skill to go beyond that. [00:04:26] Brian Ardinger: Yeah, and I love the article too, because Audrey goes into a number of different techniques, brainstorming techniques, and that. Mm-hmm. So, I encourage people to check that out, to learn some tactical things about how you go about building up that divergent thinking muscle.The second article, this one made me a little nervous. It's from the Neuron Daily, which is a fantastic newsletter, and this one came out a couple weeks ago, but the title was Poisoning AI Models just got scarier. 250 documents is all it takes.And it goes on to look at some research that came out of Anthropic that looked at the number of documents that you could ingest into the LLM that would make it start spewing out nonsense and making it bad. The original thinking was, well, the more larger models that you have, you'd have to have more malicious documents put into it to make it go off the rails. What they found out was that's actually not the case.It takes a very small amount of wrong data to be put into it to actually make it start going the wrong direction. Actually, I think in the article talks about a 13 billion parameter model trained on 260 billion tokens, got backdoored with the same 250 documents as the 600 million model trained on just 12 billion tokens.And previous research assumed that attackers needed to control 0.1 of the training data. And so for larger models you need millions more documents. What actually happened is the math was 250 poison documents was, is only 0.00016 of the training data was enough to actually poison the model itself. Crazy stuff to think about it.When we think about. All the things that'll be putting into the web and everything else. It's a wonder why we're not seeing more and more hallucinations. I guess [00:06:07] Robyn Bolton: it was terrifying, and I'll be honest, the numbers went so over my head, but it had an analogy in there. It's like putting a teaspoon of a toxin into an Olympic sized pool. Yeah. And you'd kill all the swimmers. And I was like, uh oh. That is. So much more awful than I thought when you were just saying 250 documents.And you know, I think it just goes to pis. There's incredible promise with Gen AI and there's risks that we don't even know about. It's one of those things of use with caution.[00:06:39] Brian Ardinger: It'll be interesting to see what other research comes out to either debunk this or to fill up the back holes of this. But it's just something to keep in mind and follow the research and see what's actually going on out there. Because we are in brand new territory and the exploration mode, we need to be wary of the pitfalls that are ahead as well.[00:06:57] Robyn Bolton:
On this week's episode of Inside Outside Innovation, Robyn Bolton and Brian Ardinger talk about hiring talent, tips on growth, why everything looks the same, and why nobody wants advertisements on their refrigerators. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Mile Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Interview Transcript by Brian Ardinger and Robyn Bolton[00:00:35] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have our co-host Robyn Bolton. How are you, Robyn? [00:00:48] Robyn Bolton: I am good. I've been busy playing Boston Tourist. I've had my sister and her family in town, so we have done all the Boston touristy things, the Freedom Trail, the Duck Tours, visiting our respective alumni colleges. All of that fun stuff. [00:01:05] Brian Ardinger: Plenty of Samuel Adams?[00:01:07] Robyn Bolton: As our duck boat guy tour pointed out, Sam Adams is buried in the old grainery bearing ground, but across the street is a bar. The only place in Boston, you can enjoy a cold Sam Adams while looking at a cold Sam Adams. [00:01:20] Brian Ardinger: I have been to that bar and did that exact thing. Yes, it was quite fun.[00:01:23] Robyn Bolton: Excellent. And how are things in your neck of the woods?[00:01:26] Brian Ardinger: Yeah, I've been spending a lot of time focused on hiring and interviewing folks, so last podcast we're in this process of hiring our new Catalyst interns for the year. In addition to that, I'm on a selection committee for hiring for somebody in the startup ecosystem.And what it's got me thinking about is how job hunting has changed and trying to find candidates. And then secondly, like hiring for innovation roles and how that differs than hiring in your traditional roles or a known quantity. It's really opened my eyes, not only for myself, but like people on the committee, how they think differently about hiring for these particular roles.You know, focused on curiosity or speed of learning. And when you're looking at candidates, how do you figure out who possesses those particular types of skills and that [00:02:12] Robyn Bolton: Yeah, no, it is a real challenge. I used to, at Clayton Christensen's firm, for a while I was in charge of recruiting and then kind of shifted on to the hiring committee. And it really is a challenge because I'd be looking for people who are interesting and have done unique things and kind of crazy wild things that you're like, wow, how did you come up with that idea?And then I would have colleagues who'd be like, well, I'm not sure they have the PowerPoint skills. And I was always like, we can teach them PowerPoint, right? I don't want to have to teach someone how to think but can also see their point where it's like. I also don't want to teach you the basic skills of the job. It's a challenge. Yeah. [00:02:50] Brian Ardinger: The other thing is, the Catalyst intern role is early college students, and the other one is a more professional role. And so even between age and types of openings, trying to find what are those key levers and what can different people bring to the table when it comes to talent.[00:03:05] Robyn Bolton: You're searching for unicorns.[00:03:07] Brian Ardinger: Well, let's start the podcast with some of the things that we've read this week. One of the first articles that we wanted to talk about today came from Jeff Gothelf. He has a blog called Continuous Learning. He actually spoke at the 2019 IO Summit.Jeff was talking about some experiences that he's seen, and the name of the blog post is No One Wants Ads on their Fridge. And it goes on to talk about how Samsung's latest innovation is an $1,800 fridge that shows advertisements. So the New Smart Fridge will be a walking billboard in your kitchen. He goes on to talk about why that may not be a good idea.[00:03:43] Robyn Bolton: It kind of sounds like the worst idea ever because I still watch TV that has ads. Well, I mean, streaming still has ads. And when the commercials come on, that's when I go to the fridge. I don't want to see ads when I go to the fridge. And also, if I'm going to be forced to watch ads, I want the fridge to pay me. No, I don't want another billboard in my house. It's a terrible idea. [00:04:09] Brian Ardinger: It makes you wonder that Samsung's not a, a dumb corporation. How could they fall into this particular trap where they clearly probably didn't test this or if they did test it. It was testing for a different use case scenario than the majority of people I would imagine want in their kitchen. What are your thoughts on testing products and how this might have happened? [00:04:27] Robyn Bolton: I suspect you're right. Either they didn't test it or they tested a different kind of prototype, but I think it all goes back to what we've talked about before. Innovation is something new that creates value. So often I feel like companies forget that implied in that creating value is creating value for the customer, not just creating value for the company.And so I feel like with Samsung, you said there are no dummies there. They're really smart folks, and they're like, Hey, this is innovation because it's creating value for us. I cannot comprehend a story where it's creating value for the customer. [00:05:04] Brian Ardinger: Yeah. It will be interesting to see, obviously, they have a lot of products and they're probably thinking, well, how do we leverage what's on your TV into the living room, into the kitchen? And then obviously the proof will be in the pudding as far as how do they execute this. But just like Jeff, I think the thing that struck our minds was this can't be a good idea. So, we'll see if an or becomes one. [00:05:22] Robyn Bolton: Well, and now I'm imagining ads following me of, you know, I get up while there's, you know, a Domino's Pizza ad and it just follows me to the fridge to be like, or you could have Digiorno in the freezer.[00:05:32] Brian Ardinger: Well, and then you'll have AI-based Siri talking to you in the background, telling you what to do as well. So, alright, well, the second article, or actually it's not an article, it's a YouTube clip, Lenny's podcast. If you follow my newsletter. A lot of times, I've actually posted about Lenny and his newsletter. Does a great job of finding interesting guests and talking about interesting subjects.His latest podcast is an interview with Albert Chang, who is head of growth at a variety of different subscription-based companies like Duolingo and Grammarly, and I think currently at Chess.com. And his interview with Albert really talks about the growth role within a corporation and how do you find like hidden growth opportunities in your product?I encourage folks to go out and take a listen to the entire interview, because it goes through a lot of d...
On this week's episode of Inside Outside Innovation, we talk about how an 86-year-old musical is creating a billion-dollar payoff for a bold innovator, how robots are helping 7-Eleven manage the labor crunch, and how AI work slop is damaging the progress AI is promising. Let's get started. Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Mile Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:45] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and with me, I have our co-host, Robyn Bolton. Welcome Robyn.[00:00:52] Robyn Bolton: Thank you. Great to be here as always.[00:00:55] Brian Ardinger: We were together this week at the Bolt Conference in Indianapolis. This is a conference that's put on by gener8tor, a group of folks out of Madison and Milwaukee, and now I think they run over 300 accelerators around mostly non-tech hubs. They host a conference where they bring together startups and corporates to talk about all the amazing things that are going on. Investors can have a chance to invest in these companies, and two and a half days at the ballpark in Indianapolis to talk about innovations. Love to get your thoughts on it.[00:01:27] Robyn Bolton: You know, the audience they brought together, as you were saying, of startups and VCs, and corporate innovators bringing all together into a very non-traditional space, which I think led to a lot of really interesting conversations. Because everybody was in a different element. And then a great mix of speakers. They had industry-specific keynotes, but then they also had hot takes, which were, you know, a whole variety of speakers giving five to seven-minute single-topic rapid-fire hot takes.[00:02:00] Brian Ardinger: You got to do one of those hot takes.[00:02:02] Robyn Bolton: I did do one of those hot takes, which I just love those little bite-sized nuggets of information and insight and stuff to think about.[00:02:11] Brian Ardinger: A lot of the conversations were with other folks saying, am I crazy, or is the world crazy? [00:02:17] Robyn Bolton: And yes, and we did a lot of reassuring of, you are not crazy. The world is crazy. And you're also not alone. There are other people asking the same questions, and go find the other people. They're not just here at this conference. They're in your organization too.[00:02:36] Brian Ardinger: Some of the themes that obviously were AI and all the new technologies that are changing different parts of different industries. It was interesting to see different industry takes and being in a venue, a lot of times you go to conferences and you hear only about one side or one industry, and it was nice to be able to sit in an audience and see across healthcare and see across ag and see across manufacturing, and see what was resonating.One of the biggest things that's resonating is this idea that opportunity exists where there is dissatisfaction. And there's a lot of dissatisfaction in markets, in the politics, in the world around us. And so there's no better time to start build, try and do some stuff. [00:03:13] Robyn Bolton: The keynote speaker who kicked off the day, Gary Cooper, he just had some great points, and a couple that I wrote down are chaos is not in opposition to creativity, it is the precursor to it.There's so much noise out there, and for each of us to try to be the signal in that age of noise of creating tangible, undeniable proof that better is possible and it's being built. And I thought that was just such a great message of yes, we're all feeling like the world has turned upside down, and the world is crazy. And we all have agency to do something about it, even in our small own individual way. [00:03:55] Brian Ardinger: Yeah, I like that talk as well. I like the fact that he emphasized that startups and founders should be thinking less about their product and solution and more about their impact. I think oftentimes we forget about that, you know, or we start the journey that way, but then you get into the weeds of like, okay, what feature do I have to ship or whatever. And you oftentimes lose sight of the fact of what's the impact we're trying to do here, regardless of the solution we created around it. [00:04:18] Robyn Bolton: In the face of uncertainty, don't despair, build. And I just thought that was a great rallying cry for all of us. Regardless of where we play in this space.[00:04:29] Brian Ardinger: We've got a couple of different articles that we're going to discuss today, as our normal convention suggests. So the first thing that we wanted to throw out, there's an article in Bloomberg called The Falls First blockbuster is an 86-year-old musical. I stumbled upon this with Trung Phan. He's on Twitter, and he does a great job with a Saturday newsletter. He calls SAT News on Substack.He outlined what this article was and some of the things that are going on with the Sphere in Las Vegas. The Sphere, if anyone's not familiar with it, it's that big globe new venue that they built for two plus billion dollars in Vegas as a way to create unique, innovative experiences and the article and Trung's analysis walk through the idea of the Wizard of Oz and how the founders of the sphere bought the rights to that film and decided to recreate it so that could play in this unique venue. And the economics in that, that were behind this particular new innovation.So James Dolan, he licensed the classic, and from the 1939 Classic, spent about a hundred million dollars adapting it for the LED screen there, and since August 28th when it launched, it's making about $2 million a day with a full target run of about a billion dollars over the course of the time that they're going to run it. 4,000 to 5,000 people are seeing it, and they're paying $150 to $200 each time. And it's really taken off, and it's pretty incredible. So, I'd love to get your thoughts on it. [00:05:59] Robyn Bolton: The numbers blew my mind. I mean, I knew of the Sphere. It's huge and you see it all the time whenever they show Vegas, but I knew of it mostly as a concert venue. You know, I think U2 has done a residency there, some other performers, and this was like, okay, this makes, you know, this makes sense. This is a cool event venue.But then we're talking about the Wizard of Oz, which you can watch on tv, but then the numbers of how many people were going to see it and they're paying a $100 to $150 for a ticket to see a movie that they've probably seen who knows how many times, and can see for free on their phone. That this almost a hundred-year-old movie is going to make a billion dollars.It was mind-boggling. And I think in Trung's post, he had a video from inside the Sphere during a viewing, and the hilarious thing is that everybody had their phones out. Videoing capturing the Wizard of Oz on the sphere, and as I'm watching it, I'm actually getting motion sick. It was just the mind-warping experience to see the numbers and se...
On this week's episode of Inside Outside Innovation, Robyn and Brian talk about why startups fail, the best workplaces for innovators, and the digital detox on college campuses. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and Mile Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with Impact. Let's get started.Podcast Interview Transcript with Brian Ardinger and Robyn Bolton[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and with me, I have our co-host, Robyn Bolton. [00:00:46] Robyn Bolton: Thank you. Glad to be here as always.[00:00:48] Brian Ardinger: We are excited to continue on giving our audience the best insights into what we're seeing. [00:00:54] Robyn Bolton: Let's get to it. [00:00:55] Brian Ardinger: The first article is an article I read in Wildfire Labs called Why Startups Fail Patterns From $2 billion In Startup Failures.In the article, it talks about some of the research that shows that failure patterns are more consistent than success patterns or success formulas, which makes sense. There's a lot more ways to fail and probably a lot more consistent ways to fail than there are ways to win. The article talks about like, how can startups be more focused on understanding where failure points are? And then what can you do about it?They had some research in there. CB Insights took a look at startup failures and revealed that 42% failed due to no market need. 29% ran out of cash and 23% had team issues. So I think everybody can relate to those particular common problems and, and not only in the startup realm, but also in the corporate innovation realms. With that, what was your first take on the article? [00:01:48] Robyn Bolton: My first take was 42% failing because there's no market was like come on. Like step one is finding a problem that's worth solving. It should absolutely not be that high, but also knowing that people tend to fall in love with ideas and not problems, kind of not surprised.[00:02:09] Brian Ardinger: It'd be interesting to see what that number is at the very beginning because actually might be higher than 42% because I think a lot of times we don't hear about the initial idea. Initial idea is probably closer to 90% and that's not right. Yes. When you first get off the ground and it's, you know, 42% by the first or second pivot.Yes. I think that is a common issue. There's so many reasons why I've seen it manifest itself from the standpoint of like, again, you get somebody who's interested in a particular topic or they see something that bothers them and they start going off in a particular solution and don't necessarily realize that may be a problem, but it may be problem number 355 on the list of problems to solve. And therefore, you don't get market traction or enough immediate application to it to trying to solve that particular problems.Doing things like customer discovery and making that a primary part of the first idea innovation efforts is probably a way to help mitigate that particular pitfall. [00:03:03] Robyn Bolton: I always say it's the hill I will die on. Start with talking to your customers or your desired customers and actually listen. You know, ask them open-ended questions and listen. Because I think we also all fall back on like, do you like this idea? And no one's going to call the baby ugly. They know you spent time on it. So you have to ask open-ended questions.And the other thing, and I've seen this come up more and more in conversations that I'm having with other folks in the innovation space, is this realization that a lot of the tools that we use, especially in corporate innovation, you know, business model canvas, lean startup, things like that are actually best used to develop an idea of once you already know that there's a problem. And in the rush that both entrepreneurs and corporate innovators have of like, oh my gosh, we need to like do something, get something out in the market.We have all these tools that are proven that are great for getting things out into the market. We naturally gravitate to the canvases and to the frameworks that are like, this is how you go do stuff. [00:04:06] Brian Ardinger: You can use those canvases in a way, even at the earliest stages, but you have to look at it from the standpoint of like, this is our best guess day one, and these are going to change, and as long as you're open to changing it. The reason why I do like those particular tool sets is that it is a little bit easier to change than, back in the day when you had to write a hundred page business plan and 65 Excel sheets to justify it. At least it's much easier to take a look at a business model and say, okay, I'm going to take that sticky note off because I talked to a customer and it's like idea wasn't exactly where it needs to be. So, we need to change the sticky note out and try something else or change the model in some way.But I think a lot of people, again, they go through the. First canvas or the first iteration, and say, okay, this is the plan. We're going to execute the plan. Versus saying, this is a snapshot in time and our assumptions in time. How can we move this particular thing forward and make sure that the canvas maintains reality with what's going on in the marketplace? [00:04:57] Robyn Bolton: Yeah, and I think the key is. Post-it notes on the canvas, don't write on the canvas. [00:05:02] Brian Ardinger: Right.[00:05:02] Robyn Bolton: Because then it feels permanent. Post-it notes. [00:05:05] Brian Ardinger: The other thing, in this particular article, they talk about solution sets or things, and I encourage people to go take a look at Wildfire Labs. Talk about a clever way to think about the major ways and pitfalls that folks go through. It's fail, fit, acquisition economics, internal alignment, and liquidity planning.And so, I thought we could talk a little bit about each of those particular ways to checklist, I guess to look at a particular idea. So obviously fit, we just talked a little bit about it, but you know, how do you evaluate the solution? Is it urgent customer need or is it a minor inconvenience in trying to understand that relativity and the fit of the problem.But not only that, but I think fit to the people trying to solve that problem. And you've probably seen this in the corporate realm as well. You know, a lot of companies go shooting off towards the, the shiny object, whether or not it's a fit for their company or they're good at it or whatever. [00:05:54] Robyn Bolton: So many companies when they start their innovation journey, so to speak. They're really hesitant to put any sort of constraints on the work. They're like, blue sky, do anything white space. And the reality is there's always constraints and those are actually really helpful.Thinking about fit as ...
Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front-row seat into what it takes to grow and thrive in a world of hyper-uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton. As we discussed, the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Robyn’s book, Unlocking Innovation, is available on Kindle for $.99 on September 18, 2025.  Grab your copy today!  Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm Brian Ardinger, and today we have our co-host, Robyn Bolton, back. Welcome Robyn. [00:00:35] Robyn Bolton: Glad to be back. [00:00:37]  Brian Ardinger: We are excited to be back talking about innovation. We were ranked one of the top 15 corporate innovation podcasts out there, so I'm excited to continue this journey and helping our audience understand this world of innovation for this new format that we've been trying. Robyn came on as a co-host. Anything new going on in your world? [00:00:54] Robyn Bolton: I think you're being very humble. You weren't just kind of in the top 15 podcasts by a hair. You were... [00:01:01]  Brian Ardinger: I think we were four.[00:01:02] Robyn Bolton: You were up there. [00:01:03]  Brian Ardinger: Yeah. It was a sweet spot. It was nice to be recognized.[00:01:07] Robyn Bolton: Well, and they nailed it.[00:01:09]  Brian Ardinger: One of the articles that I wanted to talk about today, and actually was a newsletter of a friend of mine, and people who've listened to podcasts or know of innovation, might know of David Bland.He's the author of Testing Business Ideas, among other things. In his most recent newsletter. He had a little article talking about why most execs regret the projects they didn't cut. The gist of the article was talking about how every executive has a few projects that haunt them, and it's usually the ones that drag on too long and consume too much capital.And we always hear about the winner, so to speak, and or not betting on the winner, but the idea of a portfolio of things that you've got within your corporate environment of things that you should cut or look at. Could it be a big win if we got rid of this thing? How do you prevent that burning capital on projects that you don't want or don't warrant additional investment and time, energy, and money?I'd love to get your thoughts on what you've seen in the corporate environment and this idea of cutting your bets off or making sure that you don't continue bets down the wrong line. [00:02:07] Robyn Bolton: Sadly, I see it all the time. You know, we call them zombie projects. They're the living dead and sadly kind of the people that are staffed on them. Eventually figure it out. And I feel like they become zombies too. Zombie projects eat their brain.The thing is, they are consuming really valuable resources. They're taking up the time of really smart people. They're taking up the funding that could be used to go to another great idea that has better potential.I think back to my early days in P & G's kind of new business development group, in just one single BU, and I think there were probably, at one time, eight different projects, all new brands that were in different phases of development, and ultimately only Swiffer launched nationally and survived for several years.There was another one called Dryel that launched but didn't quite survive the first several years, and then a whole bunch that just petered out, like you kind of had to wait for the next CEO to come in and do the culling that every CEO does. But in the meantime, it was years of people working really hard on things they cared about that just were never going to work. It was heartbreaking. [00:03:26]  Brian Ardinger: It's interesting because I think about why does this happen? Because if you're a startup and you're going down the wrong path, you probably don't hear about it because you just kind of run out of runway and it goes away. Where the challenge in a corporate environment is typically you do have some capital that can continue to be funneled in different ways down projects that may or may not be deserving of it.And so, I think one of the traps that a lot of corporates fall into is this, okay, we've sunk costs into it. Let's just keep going with it. We know the expectations. It's not going to be a big win or whatever, but it's not going to be a loser if we get rid of it and branded as a loser, or a minimal amount of capital that maybe it is bringing in, the revenue it is bringing in. It's like, well, why should we get rid of it? It's bringing some revenue versus thinking about it from the standpoint of what if we got rid of that $30-50 million investment that we're making every year and reallocated that into newer things that could have more explosive growth or more opportunities.[00:04:17] Robyn Bolton: Yeah, I think you're spot on. And it's funny that no amount of mentioning, naming, whatever the sunk cost fallacy will deter people because there's always the rationalization and this feeling like in order to be successful, I need to launch a successful thing into the market. And years ago I was working with a big pharmacy chain, and to try to head it off, we actually created a enterprise wide award for the biggest hill.It comes down to what we're rewarded for, right? And if you have an award for killing a project to free up the most resources, and of course, embedded in this reward was what were your learnings? What are the resources getting used for? How are they getting funneled back into innovation? It was amazing that first year, how many zombies got put out of their misery. [00:05:10]  Brian Ardinger: And I think it's one of those fundamental things that, again, the momentum, it's very easy in a corporate environment to continue because again, most corporate environments are about executing. And so the momentum of execution continues to push you down a path when maybe your customers aren't asking for the thing that you're doing, or the market's switched or changed, or competitors have come in, and it's no longer the path.But to change that, there's a cultural thing that I think has to be at least thought about. It's not just trying to find the big wins from an innovation perspective. If you're in corporate innovation, you should also be thinking about what can we cut or what can we do to allocate our resources appropriately and not just go down some particular path because it's what we've been told to do.[00:05:51] Robyn Bolton: A hundred percent.[00:05:53]  Brian Ardinger: The second article was actually came from your newsletter. The newsletter talked about what chickens and innovation teams have in common.[00:06:01] Robyn Bolton: Unexpected reading, but the article starts off with a story of a study that was conducted out of P...
Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger, and MileZero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Interview Transcript with Brian Ardinger and Robyn BoltonBrian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and today we have a brand-new format. If you've been listening to the podcast for the last eight or nine years, every week I bring in an amazing guest to talk about innovation. I thought we'd try to mix it up and innovate on the format itself. And for the next few weeks, we're gonna have a guest host.My guest host is Robin Bolton. She's been a guest on the podcast a couple of times in the past. She spoke at our Inside Outside Innovation Summit in 2022. She's the bestselling author of Unlocking Innovation, founder of MileZero, and a good friend. So, Robyn, welcome to the show. [00:01:03] Robyn Bolton: Thank you so much. I'm so excited to be here and co-hosting. [00:01:06] Brian Ardinger: We need to innovate. We need to eat our own dog food. So I figured after all these years of interviewing amazing people about innovation, we'd mix it up a little bit, and every week we'll try to bring you some insights into innovation from what we've seen in the field and use it as a way to get your feedback from the audience as well.One of the things we thought about is to talk about innovation and what we're seeing, and so one of the things we do, both Robyn and I publish a newsletter, and we're constantly running into new information sources and new people, new insights into what's going on. Thought the first thing we're going to do is talk about the article of the week or what we've been reading.We have both called together a, a couple of different articles to start the conversation. Since people may not have heard you on the podcast in the past, why don't you give a short intro of how you got into the innovation space and some of your background? [00:01:58] Robyn Bolton: I was lucky enough to get into the innovation space kind of as it was forming, which now saying that makes me feel very old, but coming straight out of university, I went to work at P&G and it's when they were doing the very first iteration of creating new products and new brand teams.And so straight out of school went into a brand team that was working on a new business, and that new business eventually became Swiffer. I got to experience the life of a corporate innovator and all the scars and all the great stories that go with it very early on.Then, you know, a couple meanderings later, you know, meandered into Arkansas, the Walmart sales team meandered up to Boston to get an MBA, meandered over to Denmark to work for a big consulting firm. Then I ended up back in Boston and had the pleasure of working with Clayton Christensen at his firm. Spent almost a decade there working across a ton of industries, tons of different types of organizations, but always on innovation.Then, about six, seven years ago, went out on my own, started MileZero, and you know, have continued the innovation adventure since. [00:03:15] Brian Ardinger: We've talked a lot about some of the past things that you've done and the ability that you have to work across different aisles, to work in the corporate innovation space from the trenches. I think a lot of people talk about innovation, have seen it in various formats, but not necessarily the depth and the breadth that you've seen it. So that's where I'm excited to have you as a co-host on the shows. [00:03:35] Robyn Bolton: Thank you very much. I'm really glad to be here and talking about all this because it's a tough time out there for innovators. You know, whether you're in a company, you're in a startup, you know, you're an entrepreneur, it's tough times and there's always a way through. I think we're relentless optimists, maybe sometimes delusional, but relentless optimist. So it's great to be chatting about it. [00:03:58] Brian Ardinger: One of the articles you sent over was CNBC has come up with a Disruptors 50 List, the top 50 disruptive companies out there.[00:04:06] Robyn Bolton: Anyone hears a list of innovative companies and immediately our heads go to AI and CNBC delivered on that. You know, their number one disruptor is a company that's actually in the military and defense system space using AI. Number two is Open AI. I mean, it's just all the usual suspects, but what caught my attention was that there were actually non-AI companies on there.It was exciting to see that. So, there was Thrive Market. You know, full disclosure, I'm a member of Thrive Market and basically, it's kind of like a membership to get discounts on what's essentially kind of Whole Foods online. But they’re, I think in the top 10 of the Disruptors 50 list and because of their supply chain.So, it was great to see something that you could easily consider pretty old school, grocery online, to be in a a Disruptor's 50 list. So, there were some other examples of that that I was just like, alright, okay. Like where the traditional guys were hanging in there. [00:05:10] Brian Ardinger: The one that stood out to me was Fruitist, basically innovating on the ancient art of fruit, creating now blueberries the size of your head, and things along those lines. And again, I think it points to the fact that every company has the ability to be an innovator, even in an industry that's been around literally since the beginning of time. How can you do things differently, build things differently, create different types of value in such a way that it disrupts the existing players in the market. [00:05:37] Robyn Bolton: And that you don't have to just go all in on AI. We should all be getting more conversant, but AI and innovation are not synonyms. [00:05:48] Brian Ardinger: It'll be interesting to see how this plays out. I think in the article it also talked about how the top 10 are largely AI companies and the top five have a valuation of under 500 billion, which I guess is combined total valuation of the past list.And so the amount of money that's being thrown into the pit of AI, it'll be interesting to see who actually comes out on the other end. And if all the dollars being spent are really being spent wisely, we'll see. But it's definitely, yeah. Obviously driving markets, driving everything that we're talking about right now. So that's important to keep in the conversation but know that it's not the only way to innovate in the world. [00:06:22] Robyn Bolton: There are plenty of other ways and you know, the valuations of people far smarter than I look at that and I'm like, you know, I remember the.com boom and bust. I also remember the internet coming out, so you know, we'll see. As you said, we'll see. But there's still lots of opportunity. [00:06:39] Brian Ardinger: And it's driving value. I mean, there's actual revenue with these companies, unlike dot.com when it came out, so it's a little different from that perspective. I'm sure this is not th...
On this week's episode of Inside Outside Innovation, we sit down with Radhika Dutt, author of the upcoming book Escaping the Performance Trap. Radhika and I talk about the challenges with traditional OKR systems and how companies can break free from the performance theater to create a better way to lead, align, and build what matters. Let's get started.Inside Outside Innovation is a podcast to help new innovators navigate what's next. Each week we'll give you a front row seat into what it takes to learn, grow, and thrive in today's world of accelerating change and uncertainty, join us as we explore, engage, and experiment with the best and the brightest, innovators, entrepreneurs, and pioneering business. It's time to get started.Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and as always, we have another amazing guest. Today we have Radhika Dutt. She's the author of a new book called Escaping the Performance Trap. Welcome. Radhika Dutt: Thank you, Brian. It's great to be here again. We talked a few years ago. [00:00:58] Brian Ardinger: I should say welcome back. Yes, the last time you were on, I think it was episode 273. And you had your first book that came out, which was Radical Product Thinking. And when you said you're writing a new book, and it focused on things like OKRs and goals and how people are misusing that. I said, hey, we need to get her back on to talk about some of the things that she's seeing. So welcome back to the show. Let's get started refreshing the audience a little bit about your background and, and how you got here. [00:01:24] Radhika Dutt: Yeah, my background is I started as an engineer. I did my undergrad and grad at MIT. I started companies and I later went to work at bigger companies and it, it was in so many different industries from broadcast media and entertainment, advertising, robotics, even wine. Oh, and telecom was in there too. Government agencies. It was all over.And so, the one common theme in working across all of these industries, working all of these, at different sizes of companies, the one common theme was I kept seeing the same set of product diseases over and over, and I was learning hard lessons in terms of how do you build good products and avoid these product diseases?And so that's what led me to write the first book Radical Product Thinking: The New Mindset for Innovating Smarter. And It's been fantastic, like so many people have read it. It's become the staple when people are building products. And what's most satisfying for me is that really a lot of people describe it as it has changed their mindset, that now they apply product thinking to all sorts of things, even to parenting, to personal life, et cetera.So that's been wonderful to see. Right. But that it's a philosophy of how do you think systematically about products being vision-driven as opposed to iteration led, and let's just throw things at the wall and see what sticks and keep iterating. It was this vision-driven approach. How do you envision, what is the problem you're trying to solve? The end state you wanna create. And how do you systematically drive that change?So, what brings me to the second book? A lot of people who wrote to me saying, you know, just how helpful Radical Product Thinking was, there was also a set of people who wrote saying, you know, I love what you're saying in Radical Product Thinking, but what do I do in my organization that sets all these goals and OKRs and I have all these short term deliverables and that's what I have to focus on.I can't do all of this long-term vision driven stuff. And this question came up to me so many times, I realized we really do need to tackle it. And for a long time, by the way, I was seeing the downsides of goals and OKRs, but for so many years I just didn't know how to articulate for people, why should you stop using goals and OKRs?What's the, what's the problem with them? But most importantly, even if I could say, look, don't use OKRs, the question was always, well. It's the devil I know. What are you proposing instead? You know, I didn't have an answer until I started trying this new approach and it's worked so well and that's what's driving me to write this new book, Escaping the Performance Trap.[00:04:03] Brian Ardinger: What is a performance trap? What are you seeing and how does that show up in organizations and teams? [00:04:09] Radhika Dutt: You know, whenever I talk about the problem with goals and OKRs, people instantly identify one thing, which is we've all been in these monthly cycles where every month for our monthly business review, oh, what are some numbers we can show so that we can show, look, we are achieving these results, things are going well.What actually happens, right? Is for leaders, you think, oh, I'm seeing these numbers. My team is being rigorous in terms of metrics. You wanna see the numbers, you want to see rigor, you want to see progress. But what you're seeing is an illusion, because what happens is teams are showing you numbers to say, Tada, look, I achieved whatever you wanted.What is actually happening in ways that you can't see is whenever there are bad metrics, the incentive is to sweep that under the rug. To not show you the bad metrics. And the reality is you learn more from these bad metrics, quote unquote, because those are the numbers telling you what's not working, what you actually need to do to course correct.So as a leader, you don't always get the clear view. And one example I'll give is I was working at Avid. Where every movie in Hollywood that won an Oscar was made using AVID's video editors. Such a fantastic number, right? Like every, hundred percent of all Oscar winners, et cetera, used avid. It turned out that our market was getting commoditized. That competitors like Apple and Adobe were entering the low end and even encroaching the middle end.And so, for us, we kept going further up into the high-end niche, and that's where we were really focusing to be able to make our targets. If you looked at the targets and numbers, everything was looking great, and it just seemed like all we had to do was keep focusing on just whatever we were doing. We were going to hit the numbers, right?And this is what I see often. This approach works until it doesn't work. What you want in the team is not the incentive to show you what's working, but rather have those open discussions to learn, experiment, et cetera. [00:06:20] Brian Ardinger: That's a great point and, and I see this a lot in corporate innovation types of teams. They set OKRs at the beginning of the year and you know, especially in innovation where you don't necessarily know what you're building or why you're building it, and things pivot, and change based on what goes on during the year. Oftentimes they don't go back and reevaluate, you know, what are these metrics that we're looking at and are these the right things to measure?And, and so I see a conflict a lot of times, especially in innovation where, again, it's not necessarily a here's the business model. We know how to exactly execute it and it's more systematic and, and certain. But when you're dealing with new product development or innovation areas where there's naturally more uncertainty, having and picking at the beginning of the year, here's the one thing that we're going to look at. It almost puts you in a bind from day one. 
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