It’s About The People - Diana Deibel - Conversations That Matter - Episode # 68

Speaker A: So it's, I think this just really tense waiting game of we need to do something now to help the folks who uh, just don't have anything more to give. But we don't want to do too much and waste a bunch of effort and goodwill and money knowing that things are going to change in a little bit anyway. So to me that feels like the biggest sort of ball of yarn to try and untangle. Welcome to Conversations that Matter, a podcast from Uniphore. Here we explore the latest customer experience, trends, sales insights, insights, innovations in AI and automation, and more with well known thought leaders and industry experts. Tune in and join the conversation.

Speaker B: Welcome everyone to another podcast. I am so excited that you're here. I'm your host Rannik Starr from Unifor, and today we are going to focus our conversation on AI, but also on design. We think both of those are definitely centered around the human aspect of it and making sure that we're always thinking, uh, of putting in the customer value and sometimes the employee value because sometimes these AI solutions are going in both directions in terms of helping the employee experience as well as the customer experience. So today we have a designer with a passion for human centered design and has a passion for uh, leading brands to create some world class experiences. And she is the chief, uh, design Officer at Grand Studio. It's none other than Diana Dywell.

Speaker A: Welcome. Thanks Randy. It's so nice to be here.

Speaker B: I'm so excited you're here. Uh, I think uh, the influence that you've had in the industry, uh, with uh, one of your books, conversations with Things, uh, has been phenomenal. So, uh, we're going to get into that topic, uh, quite a bit because I think uh, a lot of people, especially others that I've interviewed on the podcast, have actually mentioned you and your co author and that book as a design, uh, kind of reference, uh, and all things related to voice and design. So definitely, uh, really appreciate uh, you coming on today.

Speaker A: That is so sweet. I'm a little uh, embarrassed, like grouchy. But that's, that's very sweet.

Speaker B: For those that are listening to on the audio, uh, she's turning really red and then I'm, I'm waving her off virtually. So, uh, we like to start the podcast, uh, on kind of Breaking the Myth, uh, but today we're kind of similar to that, but we want to switch up kind of the verbiage, the lingo. And I wanted to get your take on something that we've been thinking about here at Unifor around uh, the Future. And so, um, everyone's talking about the future. Um, everyone's talking about AI. But I wanted you to complete this sentence. Uh, the future of enterprise AI is human.

Speaker A: I mean, I think this maybe sounds obvious, but like, especially in an enterprise, you have so many bodies and so many people and the people that are going to end up using AI. I mean, I know there's also this sort of push slash fear that AI is going to replace people. Um, but I think, particularly when we think about AI for enterprise, that is not actually the goal. The goal is to get people to do their jobs more efficiently and honestly, uh, not spend so much time doing the stuff that kind of slows them down. It's not that interesting. And so that means people are going to be using the AI, people are going to be part of that process. And if you are going to try to launch AI and enterprise successfully, it has to be about the people or it's not, it's not going to go well.

Speaker B: Yeah, that's very true. Um, and I love that, uh, I saw what you wrote, uh, on your website. You uh, had a ebook, uh, around that topic, around AI and human and that kind of partnership. And so, um, I definitely think that's key, um, not just in a design perspective, but also in a process for workflow perspective and how you look at vendors that you're trying to choose, uh, in terms of the relationships that you're building. So it's all part of it, right?

Speaker A: Absolutely. Yeah. I think, um, I mean the good thing is that there are. It's not a new idea. Right. Like, centering the human is not something that somebody just came up with. It's been around for quite a while. So I think there are a lot of folks that um, if you're doing some digging in different AI vendors, that's not an uncommon philosophy. I think it's just more about like how present at the forefront is at first. Some folks.

Speaker B: Yeah, for sure. Um, so tell us a little bit about your background. We talked a little bit about your book, but kind of, um, want to know specifically around what was the turning point, uh, where AI is now your focus and the combination of design AI is your focus. Where was that turning point in your career?

Speaker A: Um, I think that really started when I got a job working for a company, a health tech company called Emmy, which was later bought by Walters Kluwer Health. So if you're familiar with either one of those brands, um, up until then I'd been working in entertainment and doing all kinds of things, but uh, a Lot of producing, a lot of script writing. And, uh, when I went to go work for this health tech company, the role was really started out as very much, um, a writer. That's kind of how they had it outlined. And it was, you're going to write things so that patients, everyday people can understand it because clinicians are sort of notoriously bad at explaining medical ease to everyday humans.

Speaker B: Yeah.

Speaker A: I was like, great. Yes. I love science, I love writing. This is going to be fantastic. And very quickly, I did not have the language for design. I'm a playwriting major from school.

Speaker B: Okay.

Speaker A: Um, so this was like very much like a kind of first foray into the design world. But what became very apparent very quickly is it's not unlike doing, um, any amount of arts background, especially like journalism. And I think like the production work that I had done was very similar to how UX researchers approach a lot of their work.

Speaker B: Yeah.

Speaker A: And the product itself was. When I came into the company at a precipice, like we were just within probably about a year of my joining, it branched off into more interactive, um, like online education. So there was already some branching logic that needed to happen there. There was, um, some GUI products that started to come out very small things like flu shot and doctor appointment reminders that then kind of evolved and grew from there. And that was really, I think, the, the turning point for my career of, um, oh, this is the thing. This is a thing that I enjoy that kind of brings together all of the different parts of my experience and my brain and I get to spend time with people and I get to write and I get to solve problems in a really holistic way that especially I think in healthcare, you have the ability to see an impact.

Speaker B: Yeah. And then in terms of when AI came to the forefront, when was that? Um, was it in that job specifically or is there the next job that came about?

Speaker A: So in that job specifically, um, in that product line development that are the VUI products.

Speaker B: Yeah.

Speaker A: Again, they started as like appointment reminders. So very, very, very basic.

Speaker B: Yeah.

Speaker A: Vs. But it quickly evolved into a product that was essentially following folks when they were leaving the hospital after, uh, anything that the hospital could get financially dinged for. So things like a heart attack, I mean, you know, it's the way of the world. Right. Like business kind of drives a lot of this stuff. Um, but things like pneumonia, um, asthma, uh, stroke, heart attack. We created this product line that would check in with folks, um, via an IVR like system.

Speaker B: Okay.

Speaker A: Um, and then would record a lot of answers and do some triaging in the report back to the nursing staff, who could then, rather than the nurses having to be the ones to call every single person who gets discharged with any one of these very common things for the next 30 to 45 days, you get an AI system now that can do that and collect that data and then triage it for the nurse who can then go through and be like, oh, okay, I actually really need to deal with these people. These people are fine.

Speaker B: I love that. Um, my wife is a nurse practitioner over at, uh, Lucille Packard Stanford Children's, uh, right around the corner from our offices here. And, um, that would be super helpful to have. So.

Speaker A: It is.

Speaker B: I'll have to tell her about that story, uh, about that product that you built. That's pretty cool. Um, what time? Uh, when was this? Um, how far back was this?

Speaker A: My gosh, this must have been maybe 20, maybe 2012. Like, around then. Yeah.

Speaker B: All right, very cool, Very cool. Uh, and so how long have you been at Grand Studio for?

Speaker A: I've been at grand for about five and a half years now. So, um, it's been a fun transition.

Speaker B: Yeah. And for those that aren't familiar with what you guys do, uh, tell us a little bit about what you guys do.

Speaker A: Sure. So grand is a digital product design and service design consultancy. So basically what that means is instead of just working on conversational AI, I'm working on a whole slew of different products and services. And really what we end up doing is getting kind of these broad, vague asks from clients. Um, usually pretty complex, structured clients. I can't name them for NDA purposes, but of course you would know them. Um, and they. They have questions like, okay, we need to figure out how to serve the underbanked. What do we do? Or we need to figure out how to streamline surgery, elective surgery, across 50 different sites. Uh, and so then what we do is come in and go, okay, let's figure out what exactly are the problems here that we need to solve. Make sure we're identifying the right problems, both for the business as well as users, and then develop whatever the right answer is for that. So sometimes that's operations, sometimes that's process, sometimes it's a digital tool, sometimes that's an AI tool, sometimes it's a mashup

Speaker B: of all of those.

Speaker A: It kind of just depends on the problem.

Speaker B: Very cool. Uh, how big are you guys?

Speaker A: We're about 20 people, so we're very boutique.

Speaker B: I love it. I love it. Um, we're about 850 people, right now, um, globally. So that's so nice. We were once. Yeah, so we were once there at that level. Um, but it's cool. Uh, I love boutique agencies and, uh, definitely used quite a few of them in the past. Um, so one of the things, uh, that you, uh, eventually did in, uh, your career is you, uh, authored a book. I mean, you've done a lot of writing, uh, on the Hollywood side. And we'll talk about that maybe, uh, in the rapid fire, because, uh, I want to get into that. Um, but your book, Conversations with Things, which you co authored with Rebecca Evanhoe, um, love to kind of do a double click on that. Um, and not necessarily like, about the book per se. Um, but what I most interested in is what was the one piece of feedback or the kind of aha moment when you realize that it was helping, uh, the overall community that was doing this conversation design, uh, and trying to figure out how voice plays into the customer experience.

Speaker A: I don't know if there was like, one singular moment, but I will say I think I've personally been surprised. Very pleasantly surprised, but just surprised and grateful at, uh, how many people send messages just to say, like, I love this book. It is so helpful. It sits on my desk and I refer to it all the time. I think especially in something that's as fast changing as AI and conversation design. The fact that, like, it came out in 2020 and it's 2023 and it's still useful feels like kind of a feat. Yeah.

Speaker B: Ah, it does. It's something. And that. You know, I probably should have said this before. Like, for those that don't know what the book is, uh, one, we'll put it in the show notes, but can you just give us a quick summary? The cliffnotes version, as, uh, for those that are in my generation, remember, uh, what was the cliffnotes version, uh, of the book?

Speaker A: So Conversations with Things is basically a practical guidebook for anybody doing any kind of product design with conversational AI as a part of it. So it kind of walks you through, like, what the process should be, how to actually do things, like documentation that sometimes are very difficult to find hard examples of. And then it also has some, um, strategy and ethics baked into it as well.

Speaker B: Very cool. Uh, and it's on Amazon, correct?

Speaker A: It's on Amazon. You can get it Target, you can get it at Rosenthal Media, which is the publisher.

Speaker B: Very cool. All right, well, uh, we'll put definitely a link in the show notes. Uh, and I know people will definitely find value in that. Um, so one of Your, as you mentioned, in terms of your background, healthcare was a big part of your career before Grand Studio. Um, and I'm curious to know from your perspective, what is one, uh, top challenge that healthcare leaders are dealing with when it comes to making their AI journey a reality?

Speaker A: Yeah, I think this one is. This one's kind of tough because I feel like there's a lot vying for, a lot of problems vying for leaderships, uh, eyes right now in healthcare. Um, certainly they've got. Which, you know, we're still coming out of the pandemic. And so a lot of burnout and lack of staff. And I think along with that, just general burnout and not enough people to go around. There's also a sort of, let's, let's fix this quick. Let's, like, get some tools in here. Let's make this work. So I think the thing that I see, and again, this is my bias because we're consultants, so we get brought in to, like, this part of the process. But what I see a lot of is clinical staff and people that are on the ground with like 25 different tools, and they hate all of them. None of them work together. And they are sort of being asked to do more and more and more in the theory of making their jobs faster and easier, that it really just kind of adds more. So I think for leadership, they, the good leaders see that, and I think they are struggling with trying to figure out, what do we, what do we actually build, what do we buy? How many of these do we realistically need? And there's also sort of like underlying, um, you know, elephant. Ah, Waiting in the wings, which is that the government's working on interoperability. So there is. You don't want to do too much because in five years, like, why are you going to build your own highway when the government's got a highway coming? You just got to wait a few more years.

Speaker B: Yeah, yeah.

Speaker A: Um, so it's, I think this just really tense waiting game of we need to do something now to help the folks who just don't have anything more to give. But we don't want to do too much and waste a bunch of effort and goodwill and money knowing that things are going to change in a little bit anyway. So to me, that feels like the biggest sort of ball of yarn to try and untangle.

Speaker B: Um, do you, do you feel like the role of figuring out the AI strategy is something that is, uh, I mean, where it was in 2020 is very different where it is now in 2020. Three.

Speaker A: Um, sure.

Speaker B: And you know, is that in change management? Is that at the CIO office? Is that like, where is that. Where do you think that role is that someone's going to take and kind of lead that AI journey?

Speaker A: Yeah, I think. I know that a lot of healthcare systems are hiring, like, chief AI officers. And to me, it's somebody that's going to have to have almost be like half coo, uh, half cto, where they really understand, like, the underpinnings of, uh, what a good AI can do and what it needs to do it. Well, I don't think they need to understand, like, how every single thing works, but they just need to have like, okay, I get that we need this, this, this and this in order for it to function from a technical perspective, but that change management piece, boy, I think that's how you get it adopted.

Speaker B: Yeah, I think it's like with any tool, I mean, you can bring in any AI tool and then it's all right. It could be like a new intranet we'll just take out of this. Like, how are you going to get people to adopt the Internet and get that. That employee engagement? I mean, it's. It's just, uh, has nothing to do with the technology.

Speaker A: Yeah, I mean, we see a lot of this all the time. And I think the people that do it well are the people that have, um, different levels of folks all the way up to leadership weighing in, whether that's a task force or a committee, or you just have like, a couple of key folks that you can go to and get intel from at those levels, because they're all, they're all swamped by different things. So being able to like, kind of get a little bit from everybody makes sure that you're at least aware of all the things that you're going to potentially be up against or run into.

Speaker B: So one of the things that you have, uh, a lot of experience on, uh, uh, you know, on the iva, IVR side of things is the ability to, and decipher the voice side of things, um, and also the text and whatever the input method is from the user. Um, and in the past couple weeks, there's been a lot of interesting announcements, uh, around multimodal AI. And that's like a big thing, uh, in terms of what people are expecting. Not only are vendors coming out with that, but also people are expecting that that's norm, because that's how they use their iPhone or Android phone. Um, so why do you think, uh, you know, one, let's break down Multimodal AI. And then second is, why do you think that's going to be the game changer towards, uh, these AI experiences? Yeah.

Speaker A: Um, okay, so I should start with. I mean, I think it's maybe obvious because we've talked so much about conversational AI, but like, that is definitely my background and my bias. There's all kinds of AI and certainly there are other ways of interpreting multimodal AI than just through the conversational lens. But that is my background, so that's how I interpret it. Uh, the, the way that I think about multimodal experiences overall is when you are able to use different modes in some cases, in this case, like voice, to ask something, you can have a response back that comes up on a different modality. So in this, maybe it's on a text, on your phone or. I mean, AI can go across many things. So you could have a chart pop up if you're using a dashboard that, that populates but is triggered by language. So, um, I think the, again, like the healthcare sort of lens that I have, um, some of my partners work more in finance and doing things like, uh, bond trading and things like that, where I could see this definitely having a play as well. But for me, I think about like the operating room where we're already seeing a lot of AI coming into play. Things like, um, being able to do surgery via robots, uh, and be able to do it, um, use it for training and things like that too. If you can have a multimodal, successful multimodal interface. Obviously this is very high stakes in a surgery, surgical setting for sure. But assuming that all goes well, uh, you can have a potential where you have the ability to, um, you know, you could have somebody that is directing, uh, two surgeries at once using their voice if it's the exact same situation in both of them. And then you could be having screens that populate based on that person's, uh, in each individual's situation so that the person directing with their voice can also receive information in a different modality while the AI is sort of controlling the actions. So that is still a little like far away still. Um, Minority Report esque.

Speaker B: Oh yeah, I love that movie. I mean there's definitely been a few of those stories of. I think it was like in the past few weeks, uh, where there was a doc physician that was doing surgery, uh, uh, remotely. Um, yeah, and I don't think that story is necessarily about AI. It was more just about doing it remotely. But I think the data, that's the thing though. Yeah, sorry.

Speaker A: We're seeing like the steps to get to situations like that. Right. Like this particular one doesn't exist but like you know there have been ones that I've worked on before where we've done one sort of AI brain controlling a variety of different um modalities that people can interact with. So SMS text as well as ah phone call and voice assistant as well as um triggering things to come through via email so that there's communication and back and forth and that support system that people are looking for when they do you experience a conversational experience?

Speaker B: Yeah, we're starting to see it appear in numerous different experiences. Um and you know take a look at Alexa. It's definitely um, you know right now it's just voice. But you can imagine especially like with their Echo show that's going to be something different. Um even on our end I mean we're our software is be able to take stuff in via voice, even video and then output it back out to the customer depending on what they want. Think of like a banking experience, um, that's a pretty powerful one where you can send them cross sales or upsells to their phone to verify the information or to give them an offer. So I think there's uh, so many possibilities.

Speaker A: Yeah, I'm just thinking about you um mentioned the, the Echo show um for retail. I don't know if you remember but like the Alexa had had a skill at one point or like ah, a, a functionality where you could essentially try on clothes. It was and I keep hearing about this is probably the circles I run in. The people wanting the um, they don't want AI, they want the closet from uh Clueless.

Speaker B: Okay.

Speaker A: Where it's like she could just like hey pick out an outfit for me. Um, but Echo show kind of had that for a minute where you could see what clothes look like on you and so that exact kind of um, visual response to a uh voice interface is really kind of cool.

Speaker B: Um the book uh Conversation with Things are guys will come out with another version of it uh next year or is that too much of a, of a lift? That's what it sounds. Your response. Uh, I think says it all of it.

Speaker A: I will say this, I am um, uh constantly learning every day with all of the stuff that everybody's doing. And I think that was a big part of writing the first version of the book. Um so if that were to happen and I think that's a big if for both Rebecca and myself. Um, I think we're still in the information gathering phase but I'D honestly rather see somebody else, uh, write it. Not just because I'm exhausted, but also because I think, um, getting a fresh voice in here and a fresh perspective of somebody that really is hands on with it right now would be very exciting.

Speaker B: Yeah. Um, you attended a conference recently. I think it was the Voice AI conference. Um, I think it was a, uh,

Speaker A: GC AI core, I think was the most recent one I was at.

Speaker B: Is that okay? Um, sorry, I got that wrong. I was thinking, I was thinking of Kane Sims and Vux World.

Speaker A: Yeah.

Speaker B: And, uh, my coworker was on his podcast just recently and um, I was kind of curious, what are some of the topics, uh, that you're speaking about, uh, at some of the conferences these days? Because I know, um, you're definitely, uh, value in the community in terms of what you're sharing, uh, what's some of the things that you've been sharing out there.

Speaker A: So I think, right, um, now at least this year I've been talking, it's been a lot of healthcare. Um, I do like things other than healthcare. I swear. I've actually worked a lot with uh, AI and retail as well. Um, but this year has been very focused on healthcare. And I think because just in general, this year has been a little weird financially for everyone. The sort of will they, won't they, with the recession, um, people have had their budgets constrained. They haven't been able to hire in house, they haven't been able to hire out of house. Even the projects that were greenlit have now just been like, well, let's just optimize things. So I think the stuff that I've been talking about is basically how do we optimize, how do we take the limited amounts of funds or resources, energy that we have and how do we. Is AI the right, actually the right thing to do in this moment? If it's not, how can we as businesses sort of set up for when that does release a little bit later, hopefully next year, maybe the year after, to make sure that we're putting things in place during this sort of, um, restricted time to make sure we're ready for it.

Speaker B: Awesome. I mean, I think that's a, that's a good point. I mean, so for those that are listening in, uh, we appreciate you, we thank you for, for tuning into this podcast. Um, and I think that uh, it's definitely a good time where we're kind of towards the latter part of the year in the fall. And I think everyone's taking a look at what their business is doing, where Ways they can optimize resources, budget. So you're right, you're right on, on that. So, um, we will, uh, we'll see where things go. But uh, if you guys ever need any advice, definitely I would say, you know, Diana, you're a wealth of information. I think, uh, um, you know, we'll just give your information out. Right now we're not done with the podcast, but what's the best way that people can reach, uh, out to you? Um, because I think uh, uh, this is a good point of what we're talking about.

Speaker A: Yeah, easiest ways are just via Grand Studio. We have a hellorandstudio.com email that comes to me also, um, LinkedIn. I don't check it every day, but frequently enough that if you send me a message I will probably see it.

Speaker B: Yeah, awesome. Uh, uh, okay, uh, so last question before we get to the rapid fire, because I love rapid fire. I love that the game show esque of it. Uh, the last question we have is, uh, you talk to a lot of conversation designers, uh, and would love to know what is one myth, uh, that you'd like to dispel about when uh, you're training conversation designers. What's the one myth, something that you kind of keep on, have to repeat or re, explain.

Speaker A: So I don't know if this is a myth. It may just depends on the person's background. But I have had um, people come in from basically like two different tracks. One is more of a writing track and any sort of like dialogue based track and then the other is more of a design track, um, for the people that come in through the design track. I feel like the biggest thing that I constantly have to tell them is script it first. Don't jump to flows, don't jump to logic. Yes, you can like sort of generally get a sense of like what are the use cases that we're going to be encompassing here. But if you don't figure out what the rhythm of the conversation is and what kinds of things might come up in a natural course of conversation, you're going to have to redo all of those flows anyway.

Speaker B: Okay, that's great. Yeah, that's a good point. Good point. Um, all right, so, uh, well thanks, thanks for answering all of our questions so far. It's been really interesting to hear about your background, hear about kind of the healthcare side of things and how uh, you wrote the book with Rebecca. Um, and just lots ah, of great advice from a AI strategy and more of a business kind, um, of strategy, ah, perspective. So thanks for, for sharing that awesome info.

Speaker A: Thank you.

Speaker B: All right, so rapid, uh, fire last, uh, time we did a podcast, we did a kind of Jeopardy. Style. Um, um, and so imagine, uh, there, uh, was a, A, A, A list of, uh, you know, from two, uh, hundred to a thousand Jeopardy. Theme style, uh, questions, and your name was a topic, was, uh, a category. Um, you know, you never know what's going to happen on Jeopardy. Um, but this is one that we ask, uh, quite a bit on the podcast. Uh, so imagine you were calling into a contact center. You, uh, had a customer support issue. Something needs to get fixed. Uh, maybe it was your, your Internet, maybe it was returning something, whatever it might be. Um, and a celebrity musician or artist, dead or alive, could answer that particular phone call. Uh, they could solve your problem. You'd be put at ease, you'll be going your merry way. You'd have it off an amazing day. Who would that, uh, celebrity be?

Speaker A: Um, I don't know if this person is a celebrity, but immediately when I think about calling into customer support, ironically, it's probably an IT issue. So the person that jumps to mind is the Del guy because he knows computers and is. Would give me very chill customer service.

Speaker B: All right. I don't know if he's still around, but I don't think.

Speaker A: I don't know. I hope he is. I mean, like, he was not that old.

Speaker B: No, no, exactly. No, I meant in terms of Dell. Yeah. Um, yeah, we'll have to look him up on LinkedIn. So if any of our podcast community can find out if the Dell guy, uh, is onto another gig, we want to know. Um, but yes, he was, he was. He's a good guy. He would definitely help you out. Um, so if you weren't doing your job right now, uh, what would you be doing?

Speaker A: Hospice. I did some work, um, on that health tech company, writing some hospice education stuff and did some ride alongs. And it is just, uh, like the most impactful work. It's exhausting and people that do it are amazing. But I also just saw so much, so many meaningful moments. And I say this kind of a lot of like, man, this is kind of the worst, best job. It just is fascinating to me.

Speaker B: All right, well, maybe we'll get a chance. Maybe, uh, it'll happen. But that's really cool. Uh, and maybe this is related, but what is one nonprofit you support?

Speaker A: Brave Space Alliance. They are, uh, bipoc Trans led community, um, center on the south side of Chicago. And they're incredible. They do such amazing work for the community Very cool.

Speaker B: All right, we'll put a link in the show. Notes. Um, and you had this in your bio. Uh, I was reading on Amazon, but you like puns, so I don't know if you have a pun, but, uh, I follow this guy on TikTok, and I think he's in the UK. I have to send it to you. But he literally is like, hey, do you want a pun? You want a pun? And people just literally just say, like, I don't know, um, clowns. And then he does a pun. Like, Lily improv on the spot. This is like the best thing in the world. Uh, hours of enjoyment going through his reels. Probably too, too much. But do you have a favorite pun? That's the question.

Speaker A: I. I love doing, um, celebrity name puns. Um, my husband and I do this to each other. Like, if we're eating too much, we're like, man, I feel fancy Klein. Or I feel gaseous Clay and just try to get as ridiculous as possible.

Speaker B: Oh, I love it. I love it. Um, you know, all right, there you go. But, uh, then I. I'll send you the, uh, the pun guy. I. I can't name off top of my head, but, uh, uh, I'll send to you. He's probably on multiple different channels, but yeah, um, and then, uh, lastly, what is your best day? If you were to have an amazing day, whether it's work and family, whatever it is. Like, what. What's your best day?

Speaker A: Um, let's see. Probably wake up and. Ah, I'm an early riser, so I love waking up with the sun. It's waking up with a sunny day. It's maybe gonna be peak, like 68 degrees out. So sweatshirt and shorts kind of weather. And I get to snuggle with my kid in bed and then have some coffee and just read for a while and then go for a walk, go play in the park and maybe go for a bike ride and then come home and read and do more coffee. I just, I love reading.

Speaker B: Uh, what's the last book you read? Or what are you reading?

Speaker A: I am reading the The Stolen Heir right now. It's by Holly Black. It's a YA novel. Um, I've been kind of consuming. I got a Kindle, so I've been just like, I've been using the Libby app on the Kindle, and this is gonna be my plug for the Libby app. It's great. It's the way to get all of your Kindle books from the library for free.

Speaker B: Yeah, we use that too.

Speaker A: Fantastic. Um, so yeah, I've just been going through them like candy, like one a week, just kind of shuffling through things.

Speaker B: Ferocious reader. That's awesome. Well, cool. Well, uh, you survived the rapid fire. So, uh, thank you for, uh, for, for joining us on the podcast today. I appreciate it.

Speaker A: Thank you for having me. M. This was so delightful.

Speaker B: And for those, uh, that want to learn more about you, we said a little earlier in the podcast, but, um, just give us, uh, your, your contact details and Grant Studio details one, uh, more time.

Speaker A: Sure. So, uh, for me, you can reach out via grand studio@hello, grandstudio.com or you can reach me directly on LinkedIn. Send me a message over there.

Speaker B: Awesome. All right, so you guys have any AI strategy, uh, advice? If you have any conversation design, uh, advice, business strategy, uh, as well? Uh, I think we've talk a lot about that and even on the healthcare side, um, but that's definitely, uh, Diana is definitely a great resource, uh, to talk to. So thanks everyone for. Thanks, Anna. First of all, uh, I really appreciate it. Thank you and thanks everyone for, uh, joining in to another podcast, uh, episode. And we always appreciate the feedback. Uh, we definitely want to hear from you guys. Emails@podcast.com and, you know, we just want to know, how can we improve, uh, is there certain topics, certain, uh, people you want us to talk to? We always like to hear kind of what's going on on the other side of the, uh, earbuds, as they say. So have a great day and we'll talk to you guys soon.

Speaker A: We hope you enjoyed this episode of Conversations that Matter. Subscribe to our podcast for more great content. And if you want to learn more about the topic we discussed, visit uniform. Com today.