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Speaker 1
Hi. Welcome to Dig In the podcast brought to you by Dig Insights. Every week we interview

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Speaker 2
Founders, marketers and researchers, from innovative brands to learn how they're approaching their role and their category in a clever.

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Speaker 1
way. Welcome back to this week's episode of Dig In. And I've got Patricia, who is our VP of Qualitative Research, as well as Jared Feldman, who's the founder and CEO of CanvsAI, with me today. Jared, how are you doing?

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Speaker 3
I'm doing I'm doing great. Thank you guys so much for having me.

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Speaker 1
Oh, we're so happy to have you And Patricia. How's it going?

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Speaker 4
It's good. Happy New.

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Speaker 1
Year. Happy New Year. It's good to be back. Only five days in. It feels like it's it's been longer than five days. But maybe that's just me. So today we're going to talk about, obviously, since we've got Jared here from CanvsAI and we're specifically going to talk about how to use A.I. to drive empathy in market research. And I think, Jared, you have a really interesting background and I know are really passionate about this idea of sort of driving, driving human human empathy.

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Speaker 1
And so I wondered if you wouldn't mind giving us a quick rundown of what your background is and how you came to found your company.

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Speaker 3
Yeah, absolutely. So as as you mentioned, enabling empathy is our core mission here. Building the instrumentation for every brand, every professional, every researcher, six person to be able to sort of know just as easily how people are feeling and why the same way that they know all their operational data, the sales and the things that drive behavior. And so when I when I founded the company, that was our mission then.

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Speaker 3
And it still is what it is today. And my background, I am very passionate about product and trying to create impact in the lives of researchers. This comes from, you know, as a as a kid, I was highly sensitive. I consider myself an empath. I went to school for music. I've had lots of artists in my family have always thought a lot about emotion and kind of what drives it and how to understand it.

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Speaker 3
And, you know, when when I entered the working world, I found that it was really easy for for brands to know sort of the operational data, like whether people watched the show or bought the product or the thing that the CFO cares about. But when it came to the, you know, how do we know why people are behaving this way?

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Speaker 3
And 90% of our decisions as humans is driven by our subconscious and our emotion. There was sort of this kind of black box or anecdotal or just sort of subjective interpretation of things. And so that's it's really exciting to think about, you know, in some small way being able to provide services and tooling that enables the folks responsible for understanding consumers and researchers with the proper tooling to at scale be able to deal with all of the feedback out there at their disposal.

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Speaker 3
So that's that's a bit about kind of how we got here and canvas is, is, you know, fully distributed or we're a virtual company now, which is, which is exciting. And we support some of the the biggest brands and most amazing agencies that exist. And we're really proud of those partnerships.

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Speaker 1
Very cool. I mean, on that point, I know we use canvas here at Digg and that's kind of what we've got Patricia here. Patricia, do you want to just quickly give an example of kind of how we've used canvas in the past with one of our clients?

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Speaker 4
Sure. And Jared could probably judge me. I'm sure we're not using it to the full power. We could be, but canvas is something we brought on this year. So you know that back, that idea of empathy and making them talk to your questions, thinking about like I think one of them was how do you add empathy to qualitative research and and that's that's an easy answer to me.

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Speaker 4
Everything we do is empathetic. We want to get past all that, that functional those answers. You know, how many people are watching this show? When are they watching it? But it's all about the whys and, you know, the drive behind that, the need. And again, that's all stuff we could always get in qualitative research. Originally, my goal I guess at Digg for the last couple of years is how do we build more empathy into our quantitative research?

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Speaker 4
And that's when I started doing the research on A.I. companies sentiment analysis. And how do we do that? How do we do that best? We consider building in-house. We don't watch stuff in-house, but there's lots of great companies out there already doing it. And one of the examples we use and you can actually find it, I don't know, it's this like a little kind of promotion for Digg, but on our Web site we did what we call the Great Inflation study a few months ago.

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Speaker 4
Now, I guess when inflation was the topic of conversation and we're able to look at I think we had 5000 consumers across the U.S. and Canada and being able to add in came and say, I understand how they were feeling, but inflation was actually super cool because if you just ask people how they're feeling that inflation, they're going to hate it, They're not going to be happy about it.

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Speaker 4
It's going to be terrible. They're spending all their money. One of the cool things we found was that when you talk about, you know what, how is inflation change your life? There was actually a lot of positives in there. There was in spending more time at home, my family, and saving more money. I'm trying not to eat out as much.

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Speaker 4
Therefore I'm losing weight asking people to ask those open ended questions with in the way you can get emotion. But then dive deep easily is something. And again, I have lots of examples, but that was kind of one that I, I remember being like, that's not something we would have got from our dad.

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Speaker 1
Yeah, that was so that was such a, that was very favorite actual sort of insight that came from that huge, humongous study we did because I loved it really resonated with me. And I'm sure that that's part of building empathy through like an application, like empathy. But this idea of like, I'm sure we all know what it's like to sort of clean out your fridge with one meal and you're like, That was so that felt so satisfying.

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Speaker 1
And that was kind of what people were saying in the open ends. They were like, I'm so satisfied that I made do with what I had. So yeah, I didn't even actually realize that that came from from getting to say I. So that's super cool.

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Speaker 3
Yeah. 100%. And just to, just to maybe piggy piggyback on that because Patricia, the way you framed the type of insight that you were able to gather from the open ends, is that commonly what we see across, across use cases and brands where every researcher, typically when they design a survey, has some sense of like what's likely to be the response, Right?

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Speaker 3
Like we're going to ask about inflation, they're probably going to hate it. Right. And so our priority, we have this sort of sense of what's likely to take place. And then if we were to just stop there, we would have missed the entirety of the really powerful, actionable actual insight into the how consumers are feeling, which tends to be like, why open ends and open ended responses deserve to exist and can't be ignored because there's all of these kind of surprise and delight moments you can find if you're able to use a lens.

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Speaker 3
And then discerning researcher understands this intuitively, but it's often like, well, open ends. It's going to take forever to code and like, you know, who wants to go through all that and is it going to be worth it? And so part of what we're trying to accomplish is just lowering the barrier to entry where it's like, it shouldn't even be a second thought, where of course, we'll do open ends, We'll see what campus tells us and some of it will be confirmatory and there'll be some moments in here where we're going to learn something we didn't You wouldn't have thought to put in the clean out your fridge moment as a closed end, right.

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Speaker 3
Like that would be over overprescribing and you wouldn't have thought of that. And so that's what we mean by enabling empathy is really, truly giving giving folks a voice.

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Speaker 1
Yeah, I think it's really interesting. And this came up when we had our initial conversation, Jared, We were talking about, you know, why empathy so important to you and your background. And then I think I asked the question, I'm going to ask it again, like, what is an empathetic brand look like? Because we are like, you know, we're all consumers.

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Speaker 1
And I'm trying to think in my head like, how do we know that a brand is sort of being empathetic to their consumer base or their customer base? Do you have any thoughts on that?

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Speaker 3
Yeah. So at the at the highest level, it's about the we think of it internally as the empathy loop, but it's just like essentially a how prepared is a brand to actually action the feedback that they get and that the ability to sort of understand feedback at scale discern its meaning and how it could be applied, have the buy in from leadership to actually sort of action something directly from that.

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Speaker 3
And then downstream and measure the results to hold hold everybody accountable. And that that at the enterprise level with the big brands that both of us work with, like it's no small feat to have alignment in that way. We're finding, though, especially in this recession and this very volatile environment, that more and more of leadership are asking researchers like, hey, we have to be we have to measure twice, cut once, we have to be sure we have to get more value from what we're already doing.

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Speaker 3
And a lot of that feeds into can we can we increase the confidence that researchers have with the data that they are currently at their disposal in every research or listening and that we know has open ends at their disposal such that they can enable an evidence based recommendation or decision, take action from it, and then know that know that it worked.

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Speaker 3
We have to keep overhead low, right? That can't be an enormous administrative or cognitive overhead to dealing with open ends or else it's not. It's not worth it. And inertia will win. And you need executive buy and you need from the most senior levels of your company, either they're giving it to you proactively or you're going to them with this.

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Speaker 3
Like we're we're all of the time getting recurring feedback on what brands, products and services are. Consumers want from us, and we have the tooling now to extract what's needed and were empowered to take action with it. And we're going to see some really meaningful improvements in core business KPIs. The truth of the matter is, is like, you know, CFOs don't actually care about emotion.

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Speaker 3
What they care about is what you do because of the emotion. And so the job of the researcher in a lot of these cases is to connect, like, here's how the consumers are feeling and why and here's how you relate it to the actual the actual action. And that story we tell between those two points, that's an insight and that's what every researcher I get super excited about doing every day, not hand coding, open ends or any of that stuff, right?

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Speaker 3
So like how do we leverage technology and empower brands to leverage AI and tools and similar tools to sort of unblock and more up level how our researcher spends their time such that this is this is even possible. But when we think about an empathetic brand, it's it's less so about like positioning and you know are the messages feel good and that sort of thing.

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Speaker 3
It's more about does this brand have a track record of taking action from understanding consumer feedback and then measuring the results? And that empathy loop is critical, especially in recessionary environments.

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Speaker 1
So, I mean, Patricia, from your side, does that resonate with a lot of the the challenges that you see our clients coming up against when it comes to, you know, maintaining empathy throughout their organization?

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Speaker 4
Yeah, absolutely. I, I think it's a good point. It's that, you know, we want we want actionable outcomes. So again, if we know what people are doing, we don't necessarily know why. And all of a sudden by bringing that Y to life, we also can understand why people are not doing something or what's driving or putting barriers in place.

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Speaker 4
So I always say one of the big things I would say is you can't put it is you can't put it in a survey. If you don't know, it's it's an issue. If you don't know what to drive, if you don't know what's a barrier. So even coming out of a lot of kind of thinking with those open ends, understanding how people are feeling, that's something that then you can even do more effectively in the next round of research.

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Speaker 4
We can start measuring that and using that as a benchmark. But I think with out actually kind of talking to the consumer and knowing what they're thinking, it is very, very difficult to action 100%.

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Speaker 1
I think when we think about ensuring empathy is built into the qualitative research process. Was there anything else you wanted to add to that? Patricia Like anything else you maybe haven't touched on in terms of allowing an organic making easier for our organization to be empathetic.

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Speaker 4
Making it easier like that? I think I think from our side it's often, you know, we clients put a lot of money and a lot of time, a lot of effort into very large plot studies. You know, we always ideally want to add at an exploratory phase upfront. We want to talk to people. We want to understand on the back end, we want a deep, deep dive.

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Speaker 4
We really want to understand a lot of the whys and, you know, behind those numbers. And we don't always have the time, we don't always have the budget. In an ideal world, we always want those those video clips, videos of people in their home, you know, focus group, you know, data watching consumers argue back and forth why, why or why they do not like something.

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Speaker 4
It's not always an option. So I think that, you know, being able to use and depend upon these these different platforms, the softwares, you know, some some are self-serve. A lot of times it's just, you know, tech enabled. We're still doing it. We always have that kind of insight and be able to bring that together. So I think, you know, in general, like that's just it's allowing all brands to become a little more empathetic at in everything they do.

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Speaker 4
And one of the things I was just thinking of, Jared and I kind of I don't know if I'm Celeste go off script, but as I was just reading about, you know, how we were using it, one of the ways we started recently using AI is really in our brand tracking, being able to bring that kind of emotional sentiment analysis into, you know, what does that to me, being able to ask that NPS score or the Altair score, but then being able say, Well, tell us a little bit more.

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Speaker 4
What do you like, what do you dislike? And seeing that a two might seem like, but a two might be a hate? And what is it that's making your customer like hate you versus maybe they just dislike you? And what is that low hanging fruit? What should you actually act on first? It's like that's something like that. I've really liked lately being able to include that in, in, in for brands that we've been working for forever.

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Speaker 4
It didn't have that level of qualitative insight in there.

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Speaker 3
Oh, I love I love that.

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Speaker 1
That is cool.

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Speaker 3
Yeah. 100%. That's tracking in particular Patricia is is a has been a massive investment area for us mainly because you know when we think about the the the impermanence of emotion how things like projects that take place you know the relevancy has a deadline the consumer opinion changes so quickly it's like why tracking exist in the first place?

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Speaker 3
How can a brand have a always-on understanding of what's happening and then how is what's shifting and then why is it shifting? What stimulus that we introduce or maybe on a sort of what externalities are causing things? And this is one of the first things that we we needed to tackle once we released the first version of Canvas was, well, if we know how people feel right now, how do we how do we enable folks like yourself to be able to advise a brand on like not just that your score changed, which, you know, directly ties to a business KPI that really matters, but like functionally, why and what sort of nuances are there?

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Speaker 3
Those people that are fence sitters, like how often are they saying they actually love you or they hate you? Or in almost every case, and we look at hundreds of trackers now each month, you're basically seeing that the why piece is what makes it actionable. And then you can immediately, you know, the next week or however frequently you're doing this and able to see what's shifting based on your based on your feedback.

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Speaker 3
God forbid brands are asking more open ends now because like the ability to see get insight into this level of detail without the administrative overhead is sort of like a brand new world. And it requires, you know, thought leaders and strategic partners to really think on first principles like what should we be considering about our tracking program or how should we be looking at this data maybe differently, even though we've been doing it the same way for so long, is there an opportunity to change the way we think about open ended responses from like nice to have kind of stable at the end of a report to?

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Speaker 3
There are some core insights here that we aren't available to us through any other means that if we had that mindset, is that right at our fingertips?

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Speaker 1
I mean, as the marketer, the VP of marketing here, I've done brand tracking in the past. I haven't done it here just because you don't typically do brand tracking with researchers. But as a researcher, researchers being our target audience. But I used to always love the open ends were the best part of the brand tracking study. But often I would struggle to sort of this is pre all the wonderful things that your company can do, but yeah, I would really struggle to sort of make the, the anecdotal feedback actual actionable.

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Speaker 1
So yeah, I can't even imagine how cool this must be for a marketer who's receiving this. And it's like, Oh my God, I know exactly what I need to do before I get my next quarterly. Yeah, quarterly tracker.

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Speaker 3
Meghan, you describing this thing that almost every person who has open ends this, this thing that they go through, where you see the open ends that are so colorful and interesting, you have that like internal battle where you're like, I can't like, confidently report on this without spending a ton of time. So I'm going to use some of the verbatim and my own domain experience to craft the narrative here.

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Speaker 3
And the next step from that and the next evolution is like if you were presented with like the top themes in conversation that you could verify yourself with transparency and build that trust and all of a sudden you start to feel a little bit more confident and what you might kind of do with that information. And then the sort of the final stage of maturation is you're going to want to start to quantify all this stuff.

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Speaker 3
It's like just knowing the major themes in some examples is like a great first step. But then like what if you could actually like with precision 34.5% of folks felt specifically this way. And here's like all of the examples, well then all of a sudden you're going to want to offer more open ends and like really start to see, well, how does that category change over time?

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Speaker 3
Or let me put that in my own nomenclature so that my CMO understands that out of the gate or any number of things. And so that's really the evolution where we are right now. The great report you guys saw, I know that it's text analytics is the number one most in-demand emerging research method, the fastest growing over the last five years, and nine out of ten folks that sign up for canvas are not using a technology today for this problem.

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Speaker 3
And so the exercise is like, how do we help shift folks mindset to thinking less about open ends is like a nice to have color tool and more about a mission critical, incorporating it into the overall narrative and just knowing that, you know, it's Megan back when you were doing that. It's not the same. It's not the same beast any more.

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Speaker 3
Like there's there's really a ways to at scale get understanding here and drive that empathy.

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Speaker 1
Yeah, I think that word, which is sort of a phrase we just used at scale, is like so important because I think that's I guess that's what well, I shouldn't say. I guess that is what you're doing. You're making qualitative research scalable for a variety of different reasons. I think that's, that's so, so cool. And it means that more people can be more empathetic in more situations.

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Speaker 1
So I think my next question was going to be around like, do we think adding all this technology has allowed brands to be more empathetic? I think that we can sort of the three of us can probably agree that it has. But I love to get a sense from both of you of like any other ways that you think having access to a tool like campus, it allows brands to embrace empathy.

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Speaker 3
I'm happy to jump in. I think that that there's a couple of sort of key components. The first is kind of expense both both both sort of actual costs and kind of human capital cost has been a huge barrier to dealing with with kind of all of the feedback from from customers. And I think that with automation and with the maturation of technology like canvas, that there's there's almost no excuse at this point that the systems and automation pays for itself very, very quickly.

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Speaker 3
And there's the there's the barrier to entry piece as well. So, you know, text analytics has been around for decades. This is not like a new thing that's been created. Why now? Why all of a sudden is there this kind of shift? And it's a it's a couple of pieces. One is around like the barrier to entry piece that, you know, the researchers, the professionals, marketers are not interested in like spending hours in a new dashboard and like, you know, having, I don't know, having to train on like something very complex to use, it has to be you've asked the question, you've literally asked a survey question.

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Speaker 3
You want to know something, and the exercise is how do we get you the answer to that question in as few clicks as possible? And it's not a sentiment problem. It's not a it's not a topic problem. It's not a, you know, whatever NLP term you want to use. It's not that it's a question and answer problem. You've asked a question, what's the answer?

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Speaker 3
And so having an experience, a user experience that takes powerful technology but makes it as simple as possible, that's something that exists now that didn't before. I'm also going to just note that COVID was a huge accelerant for this space that like for a big chunk of time, you know, the offline stuff went away. Focus groups, I don't think is ever going to come back in the same way that it was.

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Speaker 3
There's all sorts of new ways in which that innovative folks like Digg are coming up with to get the information from consumers. And it's technology's job, in my view, to be the superpower. We should be an extension of the researcher. The aim is not to replace anything. The aim is to if a researcher is staring at a set of open ends and before campus would have to spend a couple of hours manually sorting stuff and then gets to think about like, what does this mean for the business?

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Speaker 3
I want to truncate that to like a few seconds and have all of the time be spent on like, what does this mean for the business and how do we action that because that's why we're in this in the first place. And so those those key sort of more macro things are definitely driving a lot of the behaviors happening right now in research in is and as you know, combined with like the recession, there's there's going to be more and more focus on like, what are you doing to automate your current processes and how do we get more value from what we're already investing in.

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Speaker 3
Technology is the way that you do that.

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Speaker 1
Yeah, I mean, anything to add there, Patricia? Anything you've seen with our clients.

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Speaker 4
I think in general, I think Jeremy have just like kind of hit the nail on the head with like COVID accelerated things so quickly. And I think actually one of the things that it made, it made clients and became made research richer that researchers, it's made everyone a little bit more empathetic in a way. We hadn't seen people we hadn't talked to people in such a long time and early COVID and you heard me say this on the last podcast, online qualitative research was not good.

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Speaker 4
People didn't know how to talk to each other online. They didn't know how to cut people off. When you wanted to cut people off or jump in with your opinion over the last two or three years, we've gotten so much better at the platforms have gotten so much better. People are able to write and talk about how they feel so much better online than they've ever been able to do.

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Speaker 4
So I think like Qualls having like a bit of a moment and is such a part of that in that it's it's growing because for two years we we saw that we didn't have them. The thing is that we felt very, I think, separated from the consumer because we didn't know what they were thinking and they couldn't tell us what they were thinking or what they wanted to do or why they were doing it, because we were in a bubble of disarray for the most part.

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Speaker 4
So I.

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Speaker 1
Think that.

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Speaker 4
Right now brands are becoming more empathetic and they are thinking about that more. Maybe that's why I call open ends. I it's no longer just asking a question and getting the answer. Everyone wants to know why and and what's going to change. So I think.

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Speaker 1
Yeah, and what this.

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Speaker 4
COVID software us getting comfortable. I think all of that has had a big impact now.

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Speaker 3
Okay.

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Speaker 1
Points Yeah, it's kind of fascinating. I mean, even when you were talking about it was hard to know what the consumer was thinking. I mean, just as a consumer during that time, I didn't even want to know what I was thinking. I was just like watching reality TV and trying not to think about how crazy it was that I was trapped indoors.

00;26;14;17 - 00;26;42;25
Speaker 1
So I think it's been amazing to see, like what we are able to make of make of that time and how far technology has has shifted forwards over the last few years. I'm I'm conscious of time, so I'm going to ask one final question and then we'll wrap it up. But I did want to get a sense from both of you in how you think, I guess from you, Patricia, and this is Will.

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Speaker 1
We're sort of gone over this ground before, but where do you think AI is going to make the biggest impact in cloud research over the next couple of years? And then from you, Jared, tell us a little bit about if you can if you can share a little bit about where your roadmap is going and where the technology is going for Kansas, I.

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Speaker 1
Patricia Yeah, you start as well.

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Speaker 4
First, I thought you were going to ask me where I was going and I was like, I'm for sure not the right personal expectation. Let's go with.

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Speaker 1
First.

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Speaker 4
What was the question again?

00;27;22;22 - 00;27;29;08
Speaker 1
Your question is where do you think is going to have the biggest impact in qualitative research over the next couple of years?

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Speaker 4
Okay. So yeah, so it's funny actually, I had one of my employees the other day. We're on a team meeting, say they were talking about AI and how AI is becoming so big and all the all the new, you know, chat, whatever that is of the right.

00;27;43;25 - 00;27;46;20
Speaker 1
Strategy to go all the way.

00;27;46;25 - 00;28;06;21
Speaker 4
But will it get rid of our jobs? And I was like, I kind of laughed because I was like, absolutely not in the way that your moderator so important. How do you get the question is so important. You need to get the answers before you can analyze it. And then the idea of bringing though, that that data, that raw data, that insights on the back end for your client.

00;28;06;21 - 00;28;30;04
Speaker 4
So it's like, no, it's like it's absolutely not. I hope it gets better. I hope it gets more amazing. I hope it gives us all the answers. It's almost like a quantitative output. I hope it gets to the point where I can come out of an online discussion board or a focus group through all of my my text into AI, and it can start breaking down and giving me information.

00;28;30;04 - 00;29;00;04
Speaker 4
And again, it's still it's raw data in the point that it's summed up, but we still have to interpret that. And I think that, you know, where AI is going to help us in qualitative from an open end on a quantitative survey to, you know, downloading our videos in in focus groups or taking down a thousand pages worth of text from a discussion board is being able to look at a question, analyze it, and be able to start theming and bucketing and feelings and sentiment.

00;29;00;04 - 00;29;15;07
Speaker 4
So I think it's going to make our job, I don't want to say easier, but faster or faster, cheaper, which means more projects are more topics. It's it's it's helping us become a little bit more on that.

00;29;15;14 - 00;29;24;14
Speaker 1
And I mean, in that way, it's also making you more experienced researchers faster, right? Because you're across more projects. Yeah, that's really cool.

00;29;24;25 - 00;29;38;11
Speaker 4
To Jerry's point earlier, you're not sitting there coding all of these questions and trying to find something can tell you the themes. You start to dig deeper and understand it and be able to build on to that, which is, which is what I find really, really exciting.

00;29;39;21 - 00;29;48;14
Speaker 1
Yeah, that is very exciting. Jared What are you going to delight us with next in terms of your product? What's what's on the roadmap?

00;29;48;14 - 00;30;14;12
Speaker 3
Yeah, I mean, I'd say that the, the mentality that Patricia just described is, is kind of our North Star, where we want to create an experience where the researcher is really just focused on what does this mean for my business? And so, so how do we do that? So one, you know, there's no working professional on the planet that is just kind of blindly trust what an AI spits out.

00;30;14;12 - 00;30;37;25
Speaker 3
So core to this is transparency, to this too is control and users being able to kind of teach the system how you want things to be organized and how you like things to, to work. Have it be a reflection of you. And a lot of our road mapping is is centered around this idea of like it's not our canvas, it's your canvas.

00;30;37;25 - 00;31;03;06
Speaker 3
And we've got all of these customers that have their own versions of canvas, basically that has their own nomenclature and ways they think about the world. Our agency partners are able to set that up on behalf of their clients, and we're going to continue to invest in the in the technologies and experiences that create that really natural sort of easy to understand insight into how consumers are feeling.

00;31;03;06 - 00;31;24;02
Speaker 3
And it's it's it's it's a really exciting time. Is this is the most amount of advancements we've seen in the air space. We don't want to mistake kind of the the the buzz with chat CBT for like oh got all of our jobs ruined like I Patricia I've heard a couple of people tell me that like oh God like, you know, what am I you know, what am I going to do all that now?

00;31;24;02 - 00;31;46;20
Speaker 3
And it's not that, it's there, but I would encourage, I would encourage all our folks listening to this podcast to use this as a moment to start to, like, get a little bit more comfortable with what with what exist. That's what's so cool about chatbots is like, anyone can sign up, it's free and you can start to get a sense of like how you might be able to leverage this and this is the way of the future.

00;31;46;20 - 00;32;10;03
Speaker 3
Whether you embrace it or not is that technology is going to play a larger and larger role in the arduous, kind of administrative, repeatable tasks that you don't even like to do anyway. And your function as the researcher, you're that you're the you're the pilot, you know what I mean? And like basically we've just created a brand new beautiful plane that like you got to learn how to fly it for sure.

00;32;10;10 - 00;32;24;27
Speaker 3
But if you can do that, you can go anywhere you want. And that's kind of the moment you're being introduced to a brand new set of controls and some of some of the folks listening are going to be super stoked to learn how all the buttons work. And some folks are going to be a little bit nervous and scared and don't want to don't want to embrace it.

00;32;24;27 - 00;32;34;28
Speaker 3
But this is the way the industry is going and this is the moment to figure out like what what these controls do because it's going to affect everyone's career over the next decade.

00;32;34;28 - 00;32;47;23
Speaker 4
It's funny you use that example because that's one of the examples we use the other day. It's like, Well, you might have a plane that can fly itself, but are you comfortable going out without a pilot there just in case you need someone to run that?

00;32;48;10 - 00;33;12;23
Speaker 3
Well, we think it's a similar analogy. We think about like the researcher as the pilot. So it's like we're we're not we're nowhere near so, you know, planes that can fly themselves safely. But like, we are at a point where the plane can, you know, help you with the landing and it can like do a lot. There's autopilot now and there's a bunch of things that will make your life as the pilot way, way easier.

00;33;12;23 - 00;33;34;02
Speaker 3
And if you know, you're trying to go go somewhere like this is this is kind of the way of the world. So anyway, it's it's a super exciting time for canvas specifically where we're we're we're very fortunate to have, you know, so many opinionated customers, which is like what we look for. We like push. Our customers are giving us feedback.

00;33;34;02 - 00;33;48;22
Speaker 3
And I can tell you with with confidence, like every single call feature in canvas was not our idea. It came, it comes directly from the community and like ways in which that we can enable their lives and help them fly a little bit better. And so that's that's what we're going to continue to invest in.

00;33;49;25 - 00;34;15;29
Speaker 1
Oh, man. Jared, That was a beautiful continuation of of your love, your metaphor. That was great. Our analogy. Fantastic. All right. I guess that's where we've got to leave off. I feel like I could talk to you guys about this for at least another 30 minutes. Where should people go to find out a little bit more about campus I Jared, we can just include the website URL in the show notes.

00;34;15;29 - 00;34;16;14
Speaker 1
Does that work?

00;34;16;26 - 00;34;32;09
Speaker 3
Yeah, we're canvas canvas. I head to our website and if folks are curious and want to kind of see it for themselves or a recent survey, they want to see what campus does with it. Feel free to give us a shout and we'll we'll walk you through it.

00;34;32;18 - 00;34;39;27
Speaker 1
Patricia I'll talk to you soon. Jared. I will see you in L.A.. Yeah, Yeah. Talk to you guys later.

00;34;40;10 - 00;34;42;29
Speaker 3
Awesome. Thank you both. Really appreciate it. Said.

00;34;43;17 - 00;34;54;28
Speaker 2
I Thanks for tuning in this week. Find us on LinkedIn at Digg Insights. And don't forget to hit. Subscribe for a weekly dose of fresh content.