Diversity in Leadership & AI’s Game-Changing Role in Market Research

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In episode 62, Karen Lynch and Lenny Murphy tackle two key topics—diversity in corporate governance and AI’s impact on market research. They discuss the lack of diversity on Dynata's new board and why including women and people of color is essential for innovation and decision-making.

They then dive into AI’s role in transforming market research, highlighting innovations like synthetic samples and companies like Cambri and Strella, which are using AI to revolutionize insights. Plus, they spotlight the Cafeteria app, which engages teens in brand research through cash incentives. This episode combines insights on leadership diversity with the exciting future of AI in research.

Many thanks to our producer, Karley Dartouzos. 

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Transcript 

Lenny Murphy: Good morning. And we're live.

Karen Lynch: And we're live. And we're calm. We're in a place of calm.

Lenny Murphy: Zen. We did not just get heated on the pre-call.

Karen Lynch: I did not get riled up five minutes ago and needed to take a few deep breaths. Yes.

Lenny Murphy: Well, and as we prepare to get riled up for the same topic that we start off with. Yeah, I know. I know. Well, here we are.

Karen Lynch: Like I just said, I did not just get riled up and you're all about to see it. So let me, why don't you share the news and then I'll chime in to why I got riled up because hopefully people in our audience will like, will understand.

Lenny Murphy: And, um, yeah, we'll, we'll dive right in. So a little bit of context, right. We've been covering, uh, the, uh, the story of Dineda, uh, with their, uh, you know, the challenges they had, their recapitalization and sales. Because they are such a significant player within the ecosystem. They're large. They made it through the challenging part that they had with new owners of Bain and BlackRock and a few other folks. And this week they announced their new board of directors. And at one level, you go with the other level, right?

Karen Lynch: One level. Well, there's some real pros, right?

Lenny Murphy: And they have Mitch Barnes, from Nielsen, like there's some, there's some, some great people. It's interesting, a lot of representatives from their investors, of course, it is a board of directors, they're going to have that, you know, folks that I'm sure are incredibly competent, heavy hitters, instill confidence that these, the adults are in the room, right? They know what they're doing, and they're going to, you know, prepare the business for the next level. And I expect all those things to be true, but there are some blind spots, right? Blind spots.

Karen Lynch: So I encourage, you know, Karley will share the link. I encourage everybody who's, you know, looking at it, click on the link and say, what jumps out at you with that board of directors? Because as a female, I literally was like, are you, I didn't even read the article before I saw such a lack of diversity, a woman on it. Are you kidding me? In 2024, almost 2025, we are setting up a brand new board of directors for a very large company with many female employees. I don't even, I don't know what the counts are, but I imagine there is employee equality at that organization for the most part, because so many women are in this industry and there isn't a woman on the board, let alone someone of color. And now Lenny, it heats me not just for the lack of representation, But are they also not aware of the comprehensive decision-making, different perspectives, and the value that that brings to conversations, that there's actually, I think, evidence in, I don't have them, so I can't quote them at the ready, research that shows that there is better performance when you have diversity on a board, that females in those types of governments and leadership positions bring value for heaven's sake? And did they not look at it and say, huh, maybe we shouldn't be so blind to this? I find it infuriating. And I know that it's just so obvious that that's not something they were looking at. They were looking at who they had and what could be great strategic thinkers, but the message to the business is not a good one, in my opinion. And I, Hey, they are there. I know we have a great relationship with Dineda and I know it's not the people that we work with. This is not their doing, but this one triggered me for sure.

Lenny Murphy: It is interesting because BlackRock has been a huge proponent of DEI and pushing that across all of their portfolio companies. So from that perspective, it does seem to be a little surprising that they, you know, that they, they didn't in this particular case, maybe practice what they preach. Yeah, yeah. But as you said, Donata, we love you. Bored, right? You guys, I'm sure you rock and you're going to do exactly what needs to be done for the business to succeed. But there's a perceptual issue that perhaps you should address.

Karen Lynch: Well, and a strategic issue. Again, certainly women in those types of positions will bring a different perspective and will bring a different voice and a different lens. That is the benefit when you embrace diversity and you make sure that you have covered your bases, with that, you actually open up greater problem-solving capabilities. You open up, again, innovation opportunities because of the diversity of thought. I agree.

Lenny Murphy: And this is why you and I do so well together.

Karen Lynch: I'll be the first one.

Lenny Murphy: Look, for the record, I want to be really clear here as a male, my wife, daughters and my colleagues, you know, I am nothing without them. You guys make me better at every level, as a man, as a person, as a father, as a husband, as a, every single day. So I, I, I'm with you, right, from that standpoint.

Karen Lynch: So all my Wire, all my Wire colleagues who are paying attention to this, there you, there you go.

Lenny Murphy: Let's, let's discuss. All right.

Karen Lynch: So, we can move on. I'll get off that soapbox and we will move on.

Lenny Murphy: On a related topic, to a sample, our good friend, longtime friend, JD Deitch just released an e-book. And I want to say it. I want to say the title because I just think it's cool. Oh, absolutely.

Karen Lynch: I almost dropped the F-bomb already, so I didn't think you'd get me.

Lenny Murphy: Well, I don't even think this is a profanity. The inshittification of programmatic sampling. And boy, I just love that word. I had never seen it before. Cory Doctorow, I think, is credited with bringing that up. It discusses the fundamental issues of programmatic sampling. Now, you know, this is kind of a whistleblower kind of thing. I mean, J.D.'s been in the industry for many years, across the board, senior level roles. He was COO at SIT. The man knows how the sausage is made. And he's recognized legitimate challenges that we all recognize. This is not some big secret, right? We've seen it. We've seen it play out. And he breaks it down in a very, very compelling way . Look, here's the challenge. This is the fallout of these challenges. We need to solve this. It is a, it is a, a kind of an existential issue. Um, it's compounded now through the advent of AI and yada, yada, all things we've been talking about for a long time. Uh, he encapsulates that just in a really great way. He's a great writer.

Karen Lynch: Um, he's very, very entertaining and, um, he's also just a really, really, you know, a good man. I had the opportunity to meet him for the first time just a few years ago. Um, actually oversees what's the conference in Germany, Succeed, the event over there. And instantly likable, you know, had a great time, really good guy. So, you know, spoiler alert, we're going to be having him on the Green Book podcast, and he's going to have that conversation.

Lenny Murphy: So before we dive deep, we'll hear from him again. Yes, yes. So I encourage you to really download it. It's not that long. It's a quick read, but it's a good read. And it again, it just pulls together a lot of threads that we've been talking about in lots of different arenas, with the unique perspective of somebody who's been, you know, in that business and, and knows firsthand what the, what the challenges and opportunities are. So definitely encourage you to do that.

Karen Lynch: And if this is your, yeah, and if this is your, if you're like, Oh, yeah, the Green Book Podcast, if you haven't already found it on whatever podcast, past podcast platform you use, find it, subscribe to it, or, yeah, You know, do all that so that you get this episode. Cause it's going to, I think it's going to be a good one.

Lenny Murphy: I'm excited for that one. I am too. We're recording in November, right? So next month, a couple of weeks. So, yep. It'll be a good one.

Karen Lynch: Kind of related. It just came up this morning, actually in my LinkedIn feed, you know, 10 K humans who are just doing so much work always for the industry. They have this study out right now where they're, they're just you know, AI's role in market research. And so I actually went on and I took this study of theirs, right? It's just kind of seeing how are, how are people, how are people adopting it? But it's really the reason why I shared the link on LinkedIn and we'll, we'll share it again here to participate. It's a really interesting study to take care of because it's using AI technology in the study. And so I was getting real-time feedback on my answers that were quite qualitative, you know, qualitative open ends. And then I would type something and the response was actually, it was really interesting to me exactly how contextually accurate the conversation was going in this survey. And I was like, all right, neat. I actually can't wait to see how this turns out. And it was one of my first times participating in such an AI, you know, kind of the AI tool because I don't always qualify for surveys, right? So this one, I was like, all right, I can get in on this one. So anyway, it was cool. So it'll make the industry solid if people participate. And also you might find it really interesting from a platform standpoint.

Lenny Murphy: So it's pretty cool. Yeah, I had not seen that. Glad you found it. I will participate. We give a shout out, Ray Poynter's doing good work on that. Grit comes out early next week. We're gonna have a lot of data on this. We're going to cover another report here at the end that has a lot of information on this. So yes, it's AI all the time, because here we are. Well, let's just jump down to that, Karley.

Karen Lynch: This is way down under reports. It's the Qualtrics report. And I just think there's some good stats about that one, right? I'm assuming that's the one that you meant. Yes. Yep. So yeah. So Qualtrics, who does a lot of this report and is sharing things out as well, I think last week we wrote a different report of theirs. But this one talks about how AI is expected to drive massive changes to research in 2025. Well, we could probably, Lenny and I would say, well, duh, that's not news, right? And it says revolutionizing project work. And we're like, well, yes, that's not news. But the stats were where I thought what was the most interesting.

Lenny Murphy: They really were. I don't have it up in front of me by memory or something to the effect of 70 plus percent. Of research professionals. This is a study of research professionals, by the way. So this is a kind of like a grit type thing that Qualtrics does from their perspective and really appreciate it, them doing that, on the amount of transformation and impact, particularly on synthetic sample, that the amount of the synthetic sample will replace traditional sampling.

Karen Lynch: Yeah, and what's cool is this other thing, which I did write down this quote, market research using advanced AI and synthetic personas report growing budgets and influence. I found that one really interesting, because I'm like, OK, hold up, because we're getting credibility. We're getting, like, that was a surprise to me. And actually, I would dig into that a little bit to understand more, but they're getting larger budgets. Like, that's fascinating.

Lenny Murphy: That is fascinating, because you're creating more impact. Fascinating. And that is, slightly contextual, this week, sometimes it just happens where just a topic dominates the entire week in every conversation, right? This has been that kind of week, where, and particularly feedback from others on the changes that they are directly experiencing and seeing. And one of that feedback was on a So I'm navigating NDAs, right? The, uh, what one supplier shared with me was that they were involved in a study or in a proposal with a client on synthetic samples, they had tested multiple approaches compared to their existing data. Uh, they found that the general LLM synthetic sample was crap. Right. That didn't work. That missed the ball, missed a lot. But when. And this should sound familiar to anybody who listens to us. Yeah. The synthetic sample is based on real data. Yeah. Of real people. Yeah. Oh, it was spot on. Yeah. With traditional study. Yeah. So it was cheaper. It was faster. And then it replaced that specific study. Yeah. There was no need to go out and ask the questions. Yeah. And that's what Walter's talking about.

Karen Lynch: If you think about, as I try to wrangle, like, OK, so why would this allow them to get more money? But the speed to insights can work faster to get to strategic decision making than it's worth the spend. So it's like, hey, this is going to take me six or eight weeks. I may not put money towards that because by the time I get the intel, it's not going to be useful anymore. It won't be useful. Of that strategic decision making. So the speed to these insights, if they're good, well, then suddenly we've got something that's worth spending money on.

Lenny Murphy: So I was saying we think we think great, we do not capture that same information, or we didn't ask it the same way either.

Karen Lynch: So yeah, yeah.

Lenny Murphy: But I will say at this point, right now, pay attention to the public companies. Yeah, yeah. Pay attention to the public, especially when they announce, you know, an earnings Yeah. Because I can tell you that this change we're talking about right now. Yeah. It is manifesting right now. It is changing the nature of the industry. Monies are being reallocated to new approaches and new suppliers. Existing companies are feeling the hit. Yeah. It's measurable and, and significant. And it's only going to increase. That's, and that, I mean, is doom and gloom. Like, duh, we knew this was going to happen. It is, it is happening faster than I thought it would.

Karen Lynch: But here we are.

Lenny Murphy: And, and the opportunities that creates to, to jump in and get ahead of this and transform your business now and prepare for that, you know, as these things continue to accelerate and, and, is immense, and now it's time to do it. Because we see it. We have clear data, multiple data points, multiple data sources that tell us this. What we've been talking about for the last...

Karen Lynch: I know, I know.

Lenny Murphy: Yeah, 62 episodes. Yeah, exactly, exactly.

Karen Lynch: It's crazy. Yes. All right. Let's stick with the money conversation, right? Because as we say all the time, of the money, right? And where, where money is being doled out, you know, pay attention. So Cambry raises, what's that 8 million euros in funding for its AI powered consumer insights and innovation platform. And I did the math, that's about 10 million US dollars. And that tool, I didn't know, I didn't know this company. And I was like, all right, let me, you know, take a look at it. But that tool, which will help reduce, reduce product, product launch That's pretty cool. Because now we're at that point where we're like, yes, here is an efficient way to prevent or mitigate the risk of loss, if not prevent it. The reason why they're getting money is because the cost of failure is great. If we can invest a little bit upfront to stack the deck so that we're more successful and we don't launch something that won't work, I don't know, I just thought this was super cool. Of course, that's where the money's going.

Lenny Murphy: Right. All right. Yeah. Nielsen or back in the day, if you remember Afanova, right. Which was acquired by Nielsen, by Basis, right. The, uh, IRI. I mean, you know, yes, that, that, that's huge. And, and I think the, what we're running through this whole thing we're going to talk through is now we're at the point where we're not talking about general AI. We were talking about fit for purpose, business issue focused applications of the technology. So it's not only, we're, we're already past just the efficiency thing. We're past that. Now we're into how it makes things demonstrably better while also being more efficient. And those companies are coming out of the woodwork, so guys get used to it. There is so much we have to leave on the table every week now with the exchange, because there's just so much coming.

Karen Lynch: There's so much coming. Anyway, it's a fun time to be alive, which we say like every week, right?

Lenny Murphy: That's right. All right, well, let's go on. I want to get your take on Strella. Yeah, I was impressed by this. So as someone who is, you know, serves as an advisor with Remesh and with Recollective, to see a company that now is kind of combining the human and the AI for qualitative, it almost kind of chooses your level of AI support. Yeah, I thought was super smart. I've been waiting to see something like that enter the market. And it came out of the gate with 4 million in seed funding.

Karen Lynch: Pretty cool, right? Yeah. And what I, what I liked about that instantly is this idea of, oh, that's what makes it unique, right? If you can do both at a project level, you can do both types of interviewing, you can do, you know, human, human, you know, traditional interviewing, and you can also get the AI assist. What I liked about it was anybody who's ever done Qual, you understand, you do a certain number of interviews, and then you start kind of validating what you're hearing. It just happens, right? You just get to this level where your gut starts saying, yes, this is real. And it feels, even if it's not projectable based on the type of study that you're doing, it gives you a solid foundation for what you think the output of the study is. So if I start to do this study, and I'm some of my own interviewing, and then I start to see the similarities in the AI patterns, now suddenly I'm like, oh cool, I can probably, I could probably do, you know, my handful of interviews, but then do quality scale, and I will have that gut check kind of built in. That's what the opportunity I thought of was, like this idea that there's built-in validation from the human perspective, doing both, and you can feel really confident in the quality scale, since you're side-by-side doing it yourself.

Lenny Murphy: I loved that part of it. It was cool. Absolutely. Now, combine that with, you know, the fully synthetic early stage ideations. I saw a demo today, or that's right, earlier this week, of a fully synthetic sample, fully AI-driven qualitative session to explore a concept, to inform a kind of marketing positioning. It was amazing. I didn't trust it. I'm not there yet. So now we're looking at Estrella or any of the other players. I can tell you every other player out there is doing something similar, whether they've launched it yet or not. So that cycle of like, okay, we can do full AI hypothesis testing, and then we can do exactly what you just described. We can do this mix of AI and human, so we're validating and optimizing all at the same time. And we should point out that this is also a scale. This is a quantitative scale, even though it is a qualitative feedback, exactly what we've been predicting was going to occur. And here we are. So cool.

Karen Lynch: Yep. All right. Platform. Look, I was like, I would be so interested in this. I don't have a team anymore. But I saw this and I thought, cool, like if you go through this next article. So there's a company called cafeteria, they've raised 3 million to connect brands with their most opinionated customers, the teens. But it's an app that a teen can download, and they can get, you know, like 1020 bucks, like, you know, which for teens is like, cool, I can go to McDonald's now, like, just like, anyway, that's what at least the teenage years were like, for me for a while there, like, all they need is a little bit, a little bit of cash in their pocket, right. But once a teen joins the app, they select the brand they're interested in. And then the cafeteria invites them to participate in these surveys. And then teens can just answer via text or voice. So they can decide how they want to interact with the platform based on the brand. So for a brand who wants to talk to a teen and you know, these teens are like, Oh sure. I'll download that app because then the money is automatically put, like, it's just how they are, it's how they live. It is showing up where teens are on their phones, you know, transferring money. Through their phones the way they're used to getting money. It seems like a really cool possibility. I like it. I like it.

Lenny Murphy: I like it.

Karen Lynch: I like it. Yeah.

Lenny Murphy: Think where you go from there, building communities, and influencers. There's so many things to play off of

Karen Lynch: So much.

Lenny Murphy: Yeah. Very, very cool. They're thinking like marketers. Exactly.

Karen Lynch: Again, you think about this sort of brand research, but you can just say, heck, just ask them. Just ask them. Like they're there right there. They're there. And anyway, so yeah, so cool. So check out the cafeteria. Cause I might download the app. I haven't done it yet, but I also feel a little bit like, again, don't have a team, not a team anyway. I'm nothing.

Lenny Murphy: If not honest for better, for worse, honesty with me all the time. I get it. Uh, and trust me folks, that is true. Uh, so, uh, shout out to Bob. Bob has been around the industry forever. In really critical roles, began Dynata. He had launched the Data Quality Co-op, 1.25 million to launch a platform enhancing transparency in the first-party data market. I read that and my first thought was, congratulations, Bob, because we tried to do that with Veriglyph and we couldn't pull it off. So God bless you. Glad that you did it. It serves the need. And again, back to the data quality conversations, JD, you know, all of those things. Yeah. It's good to see companies emerging that are fundamentally trying to take down the barriers that are part of the problem of data quality. And in creating new solutions for transparency and quality insurance. So good deal.

Karen Lynch: Well, what I what I liked about this too, is, you know, you and I were saying, when we first started talking about the bot, the bot farm and all that other stuff, like at that time, when we were talking about that stuff, we were saying, like, the big problem is eroding trust in what we do. So and how upsetting that is, right? If people can't trust the integrity of our data, well, then the whole industry is gonna, you know, go down the crapper, and we really we really needed partners to start stepping up and upping the focus on that so that we don't, you know, spoil the majority of the industry. Anyway, but I love that they're like, we believe in our technology, enabling companies to better trust the data powering their decisions. That is the message, right? If you are making decisions based on this data, we want you to trust it. End of story. It's so simple in that message.

Lenny Murphy: It is. And importantly, they do not describe that as a market research solution. They very purposely utilize, you know, terminology on, you know, first party data and all of its applications. And as we've been talking about data, data is the new oil. They're making sure that the, you know, that the product is pure, um, uh, because it has so many applications outside of just research. So, uh, and, you know, and why is. Is that increasingly important because of AI? So yeah, hats off, Bob. We got a couple more.

Karen Lynch: I mean, look, this product launched here, it ties into that, right? This data framework from Kenview, which I think you found. I don't even remember anymore. Anyway, they have this data framework, and it's to fuel, quote unquote, to fuel sustainability efforts by focusing data quality. And, you know, there isn't an implicit connection for me there, right? I'm like, okay, help me understand, you know, kind of the holistic view of sustainability and what we're talking about within the data that requires a new framework. But one of the things, one of the quotes from this press release is that it says they were spending too much time trying to bring all their data into one place, which he, one of the he's in the article, described as a just in case intergalactic data lake. And I just was like, well, that's so interesting. So we're talking about sustainable business practices, not just kind of saving the earth and some of the larger issues. We're talking about how we've spent a lot of time and money to do this one thing, and maybe that's not where our focus should be. So that was a part, a facet of their framework too, to clean up their data and to make their data usable and focus on the data that is truly worth democratizing. I just thought it was an interesting concept.

Lenny Murphy: Everybody should check out what can be done. I got a little context. There can be a gentleman. Yeah, the infusion can be a spin off JJ. It was the CDG, you know, JJ spinoff, separate company now the, but they took that opportunity to Uh, chain, they were open to whatever change they needed to make from a marketing and market research perspective. Yeah. Uh, to move forward in any way. Sorry. I'm trying to just not make sure I'm not saying I know. I totally, yeah. So that, well, I can't say it. I don't do this, this, uh, this is totally, totally okay. They were focused on. To be bound by the old way, by how they had done things historically with J&J. They were going to do new things, hence why they engaged with us. So I've been incredibly impressed with their approach to everything's on the table. This is an example of that. And it's pretty cool. Yeah. Yeah. So yeah.

Karen Lynch: So worth checking out again. Maybe this is something that you want to put in place in your organization. And I don't know, I just think people in our industry, they just love a good framework, right? I love a good framework. We're talking about frameworks. So when people, people pitch, you know, for speaking spots or gimmick speaking spots, they're like, I have this framework. And I'm like, cool, we'd love a good framework.

Lenny Murphy: I can't, I don't think I can say what, but it has come out of another framework. And so I, I, I see, I see what they're cooking.

Karen Lynch: And it's, it's pretty cool. Yeah, that's funny.

Lenny Murphy: Our good friends, AYTM, long time partners and that I am not an advisor to any longer. So yeah, an AI powered research assistant called Skipper. Yep. Yeah, everybody's doing it. I love giving it a name.

Karen Lynch: First of all, I just want it for the record. One of my earliest stuffed animals was named Skipper. So I loved Skipper. I love the name.

Lenny Murphy: It's all good.

Karen Lynch: Anyway, Yeah.

Lenny Murphy: I'll say that what's interesting about AYTM is they've always had a keen design sensibility. They're designed first. I haven't seen this, but I suspect that it's going to look and feel very different than anything else out there because everything they do does. So definitely I would encourage everybody to check it out. They don't do anything because everybody else does. It's baked into this. It adds value, which is just a really great approach to think about things.

Karen Lynch: I think there's there was something else about this one that I don't want to be I don't want to leave it unsaid but when I was reading their kind of list of some of these things like predictive sample engine and an adaptive survey editor comprehensive insights and analytics dashboard and insights portal pulling results from multiple studies and I'm like into a single interface right I'm like yes of course that is that is where we're going with all this like those things I feel like I'm like yeah that is what But all of these companies should really just start to have. So use that one as sort of a, you know, take a look at this and like saying, you know, am I offering these things too? Because those should just be what survey companies do.

Lenny Murphy: Right.

Karen Lynch: They're just baked in, right? Yeah. So I'm already at the, you know, kind of, of course, this is what I would want in a survey company, wouldn't everybody? But anyway, so.

Lenny Murphy: And it will be. Everybody will be doing those things, right? We're just now at this kind of a yeah. Yeah, we are at 30 minutes I know so let's wrap these up real quick. So Nick launched a market mix modeling solution with AI Why pulse shout out to Dan Coats? To access all of their data in their data repository. So good deal Ipsos partnered with curb cut OS to launch accessible UX on it now you have caught that one. How about that for a second?

Karen Lynch: It's just a way to make sure that your user interface is accessible. And so it's kind of dealing with this important work. And I think it's UK based, right? Because it's meeting standards of the European Accessibility Act. So it's just for people who at all pay attention to their web presence, you want everybody to be able to access your site. Anyway, so I think it's just kind of a cool tool for a very specific purpose, right? Here we go. Specific purposes, right? Use cases.

Lenny Murphy: So yeah, cool stuff. All right. Let's give a shout out to the YouGov report on different generations gauge with ads. Check it out as we think about ad testing, right? Ad tracking, et cetera, et cetera. There are significant generational differences. We know that. Platforms they use, et cetera, et cetera. YouGov. Yeah. Pulled that off. We've mentioned a couple times the Ray-Ban Meta Smart Glasses. It is now the top selling product in many Ray-Ban stores across EMEA. So we're there with a credible, wearable solution entering the market. And then finally, the Microsoft autonomous co-pilot agents, we still, no matter what, Office is still the bedrock tool that we all use for production of research reports, et cetera, et cetera. The opportunity to use co-pilot, to create and embed AI, to automate those processes, I think is just really cool. And there's all types of things that can be done. So yeah, lots of stuff. Lots of stuff, always lots of stuff. So yeah, pretty cool to end on a less emotional note. Note that we began on Lenny. Usually it's me going off on the rants. I like it when you do. Well, and again, you know, Kristen Luck and I have talked quite a bit about like women on women on boards and, you know, I'm sure you can imagine as somebody who sits on boards and it's just, you know, these the men who are at that level, like if they don't see the value in it, they're going to just keep saying, you know, who are these people that we should invite into our boards and women are and getting those seats at those tables. And yet, there are so many women who work hard in this industry. And it just is one of those things. So anyway, don't get me started. I'll go back. I'll go back into that with all my wire conversations about women in leadership positions. And that's one of the reasons why we always work at Green Book to, at this point, at least, we're working really hard to make sure women see themselves on stage and the work of wires. Important to me personally, so. Absolutely. Great partners, we agree. Yeah, I know. I know you're in agreement on this, which is why I can rant to you just a bit, so. Yes. Anyway, All right. Well, I guess that's it. That is it. I'm going to meditate. Then get back to that zen state we started with. Exactly. Exactly. All right. We'll see everybody soon. Everybody take care. Bye-bye. Bye.

Links from the episode:

Dynata forms new Board of Directors 

JD Deitch releases e-book “The Enshittification of Programmatic Sampling” 

10K Humans is conducting a study on AI’s Role in MRX Today 

Qualtrics reports that AI is expected to drive massive changes to market research in 2025 

Cambri raises €8 million in funding for its AI-powered consumer insights and innovation platform 

Strella raises $4 million in seed funding for its AI-powered customer research platform 

Cafeteria raises $3 million to connect brands with their most opinionated customers 

Data Quality Co-Op secures $1.25 million 

Kenvue implements a new data framework aytm launches Skipper 

NIQ launches Marketing Mix Modeling solutions 

YPulse upgrades its platform with Pro AI 

Ipsos partners with CurbCutOS to launch Accessible UX Audit services 

YouGov Report highlights how different generations engage with ads 

Ray-Ban Meta smart glasses become the top-selling product in many Ray-Ban stores across EMEA 

Microsoft rolls out autonomous Copilot agents