The Guest Experience Snapshot powered by TMG Oneview® AI is here!

Tune in to hear from the Chief Technology Officer at Travel Media Group, Jason Lee, on the latest technological innovation being offered to hoteliers as a part of our digital solutions for hotels.

This new offering uses generative AI in a unique way to help hoteliers interpret guest feedback and dial in on how they can improve the guest experience at their properties

Episode Transcript
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Ryan Embree:
Welcome to Suite Spot, where hoteliers check-in, and we check out what’s trending in hotel marketing. I’m your host, Ryan Embree. Hello everyone. Welcome to another episode of The Suite Spot. This is your host, Ryan Embree. If you are watching us here on YouTube, we have a few announcements to make. First, we’ve hit an incredible milestone. This is Suite Spot, 150 episodes. Thank you all. I just wanna take a moment before we get started on this great episode that we have today to thank everyone for taking the time to listen to us for all of your support. You know, 150 episodes is something absolutely insane saying it out loud. So again, thank you. And we have a very familiar guest who I feel like we’ve been on quite a number of these episodes. Jason, our Chief Technology Officer at Travel Media Group. Jason Lee, thank you again for joining me on the Suite Spot.

Jason Lee:
Thank you, Ryan. Really excited to talk to you about this today.

Ryan Embree:
Yeah, we’re super excited. And if you’re watching us, like I said on YouTube, if you’re not, first of all encourage you go to our YouTube channel, you’re gonna find some exclusive content there that you’ll only find on YouTube. But if you are watching us on YouTube, you’ll see we might have a little bit different feel and vibe. We have moved into a brand new Suite Spot. We are so excited to showcase this new space. It was custom built. You are gonna see all types of new looks from this space. New, exciting content, so be sure to follow and subscribe The Suite Spot. We’ve got so much jam packed for you. But speaking of innovation and new, that is exactly what we’re here to talk about. Jason, we have had a number of episodes talking about the incredible developments that you and your dev team here at Travel Media Group and some of the innovation that you’ve put out there. This might be one of the most innovative, the guest experience snapshot powered by TMG OneView ai. Before we get talking about it, what we’ve come to learn is with these innovations, there’s always kind of a story or a why behind it. Walk us through that with this guest experience snapshot.

Jason Lee:
Well, for a long time, I mean, we obviously accumulate reputation data. So we’re, we get data from all the sites, we get it from all the hotels. And so we have been, anybody who’s seen any of our stuff knows, we have lots of numbers, lots of ways of kind of creating different types of metrics, and showing those metrics in various forms. And I think that’s really sort of industry standard where we get a metric or a KPI, we sit on that, we manage to that. And in some ways you sort of lose like what that KPI is for. So you’re sort of like almost the purpose for your improvement of a KPI is the KPI. Instead of for what the KPI was originally for. And I think with reputation, we sort of get into that where you have so much data that you sort of lose, you lose track of what is most important. And so what we wanted to do is even going deeper than sentiment analysis. So sentiment analysis really was this natural language processing that we have been doing for quite a while where we take sentence chunks and we look at word modifiers and things like that to create positive, neutral and negative statements inside of a review and then take those down further into the various aspects of a guest stay. With this though, with generative AI, we have an opportunity to actually pull even further than that and take, it’s not just the metrics. So what you’ll find is when you look at the guest experience snapshot, there is no metric on it. It’s literally the text of the guest. It’s the experience a guest had and the text that multiple guests had. So the text that of that experience. So for example, if a bunch of guests really loved the experience at the front desk with, with the staff at the front desk, you would see most guests mention an amazing front desk experience. And then there might be a front desk clerk’s name called out inside of that sentence. And then you’ll see maybe 17 mentions. And so what that’s doing then is it’s saying, here’s sort of like, it’s accumulating all of this text and saying from that, here’s this thing that went right. And then the same thing for thing, something that went wrong. And in the industry we really don’t have anything like that. I think TripAdvisors sort of went out there and created sort of a summary of guest sentiment that they put out. They’re like, oh, this is AI generated and it’s a summary of guest sentiment. But inside of like the ops side or where I’m maybe even evaluating what’s going on at this hotel from a management standpoint, all I have is metrics I don’t have unless I read one review at a time.

Ryan Embree:
Well, to put it in perspective, Jason, the educational webinars that we put on with reputation and social media, one of my kind of best practices was to physically print out some of your reviews and start highlighting those keywords that you’re seeing over and over again. So this is obviously the more technological next step to that, but also can give you some insights on how to improve on maybe the things that you’re falling short of.

Jason Lee:
No, absolutely. And I think that’s again, what makes this so powerful is that you’re coming out of maybe the emotion of a number, you know, and the emotion around the number to a KPI that you’re now getting into actual guest sentiment. The other issue with single review analysis, let’s say, is that it’s easy, very easy and common for you to take an issue, a single issue that a guest had and discard that as a one-off to say that this was circumstantially, this series of events happened, that this guest had a bad stay or they had a bad experience here, but this only happened to this guest, not to anybody else. So what we sort of see it, we see it in aggregate. So we sort of, of, as we’re responding to reviews or even looking at review data as a whole, we can sort of see this bigger picture. But as you’re sort of ingesting review by review either through alert system of your brand or through one view with TMG, you’re still just getting these little snippets instead of all this together. So what the other big purpose of this is to create this thing called interrater reliability, which basically, so in order for there to be a sentence chunk in the guest experience snapshot, multiple guests are, have to have had the same experience. And so that’s another big, the very, it’s a key point of this. So this is also something, so that’s why we start with positive and then go to negative is that you have a bunch of guests that are having great experiences. Here they are. Right. And then here you have the same, you have another bunch of guests that are having experiences that, that are really an opportunity operationally or an opportunity from a service standpoint, but you can now see them and you can’t discount it as a one-off.

Ryan Embree:
And sometimes that’s tough to do because, one of the things that now I challenge hoteliers with this, with this guest experience snapshot is say, what do you think are issues at your property? And match them up against what people are actually saying in your reviews, or what do you think people love about your property? And see if there’s alignment there. I think as hoteliers, we tend to think that we know our hotel better than anyone else, but our guests are really telling us at a moment’s notice what are the positive and negative things that they are experiencing at that time. And as we know, not every single person is going to a review site to leave that feedback. So if your inner rate of reliability is 6 or 7 mentions on an issue, that could really be three to four, five times more than what you’re seeing and guests are experiencing.

Jason Lee:
Correct. I think you take really, like probably the key pieces of sentiment, right? So probably the most looked at piece of sentiment is cleanliness. So you look at cleanliness, often we will see positive and negative cleanliness sentiment, and they will, they will be the top numbers. They’ll be the most people mentioned cleanliness, and the most people mentioned dirtiness. So it fits into that cleanliness, positive negative. So you have the same thing actually in the guest experience snapshot, but what we find in the guest experience snapshot is different types of mentions of cleanliness. I loved how the pool area was clean and beautiful. I loved the lobby. Right. And then there might be another mention there, then there’s multiple mentions of a bathroom issue. So when you see that you can, it’s way more you can diagnose that so much easier than saying, well, some of the guests like cleanliness and some of ’em don’t. It’s a 50/50.

Ryan Embree:
And it’s one of those things where if guests are reading reviews about your cleanliness in a negative light before they’ve even stepped on property, that has lowered the bar for what they think clean is for your property, they could come in and see if they’ve been reading all day reviews on multiple sites about, Hey, this room is dirty, you’re gonna come in naturally with a different eye than if you would’ve come in and not known that information. So this is really good to kind of take from an operational standpoint, but the AI doesn’t stop there, which is giving you that information. It actually gives you some ways to improve the guest experience too, which I think is really, really cool and unique.

Jason Lee:
Yeah. So we didn’t want to just leave it at that. And that’s why we also have these bundled in months. That’s why it’s a month at a time. And so we added something called recommendations, and it’s a really cool part of this, and it probably was the trickiest piece of training that we did by far. Because if you kind of leave generative AI to its own devices, it kind of, it says a bunch of crazy stuff. So we had to really reign it in and take real world scenarios and real world fixes. But what’s kind of cool about this is that things that you sort of go, you look at that are, that are maybe causing guest friction, but you as a hotel, you look at and you’re like, eh, you know what, how am I gonna change that? My hotel’s near a busy road? How am I gonna change roads? I can’t do that. So some of the recommendations that we have are really more, maybe not as much about how do you fix that? How do you fix the physical plant of your property? But it’s more about how do you inform guests? How do you create a situation where guests know the situation they’re walking into, you put them in the best possible position to set an expectation for their stay. And so some of that has to do with that. It’s about training your front desk to handle these situations in a different way.

Ryan Embree:
Absolutely. And you know, it’s educating the guests before they arrive. We’ve talked about that. By doing that in things like review responses, social media makes for a great way to do that. You know, one of the examples would be if someone says the lack of variety of food within your breakfast, right? Instead of maybe just talking about your breakfast on social media, show exactly what that breakfast looks like. And then all of a sudden, now I know what to expect when I come on property. I’m not expecting this breakfast buffet, this giant breakfast buffet. I know exactly what I’m getting. Might not necessarily turn it around and say, this is a great variety, but it actually will lessen the blow and maybe improving your reputation on a few points. But it could be something where that recommendation also says maybe add variety. Right? And talk about that. And we’ve heard stories. I mean, we talk to hoteliers every single day and encourage them to make little tweaks and changes like that. And the guest experience snapshot, month over month looking at that will give you a good indicator of the sentiment of what guests are feeling about those changes.

Jason Lee:
Absolutely. It’s that kind of like, interesting thing. So it’s not like we’re telling you how to run your hotel. It’s just giving you some, like, some ideas that these little irritants that are happening. I’ll give you an example. We had a hotel, that we sort of were looking at from the beginning. And so we’ve had this now live for three months, and in the first month we noticed that they were having issues with their shower doors, like the doors specifically. There was a bunch of mentions in the first, in the first time we looked at it. And so the next month came, and again, there were mentions of the doors and it had a little bit of a different text, but it was the same mention. The third one had the same mention. And so, you know, so the recommendations are sort of like varying a little bit, but still trying to be like, Hey, you know, I wanna look into this. And I do think it’s those kinds of things, is keeping it top of mind. You’re not gonna fix everything all the time. You know, there’s things that, that are gonna be stuff that maybe are part of your renovation or they’re part of other things, but it’s about awareness that they’re causing guest friction. And talking to that, one thing that’s sort of hard in operations is you’re, you’re balancing so many other things and just getting to that space where you’re saying, yeah, this is a problem. And admitting that to yourself and saying, yeah, this is a problem. But then being proactive about it. I guarantee any hotel you’re listening to this podcast right now has rooms at their hotel right now that they rent last. It’s like the last rooms I rent because I know there’s problems. So I know there’s gonna be issues down this corridor. But that’s what this is really about. It’s about taking this data and making it very accessible, very usable.

Ryan Embree:
And we’ve spent a lot of time on this podcast episode talking about the negative things. And one of the things is it also provides all the great sentiment that guests are saying, and this could be a great gameplan and blueprint for you for a social media strategy if you are seeing that people love attractions, restaurants, location, start sharing the businesses that are near your location to just even further amplify all the things that guests love about the property. So I know we’ve talked a lot about recommendations and fixing things and obviously the things, the low hanging fruit that we can fix to improve the guest experience, we’re always looking to do that. But it’s also a great guidebook on using what people, what guests love to market the hotel. Right?

Jason Lee:
Yeah, absolutely. And there’s a lot of really great points inside there, and I think social media is a great place to use it. So, you know, we have really friendly people at our front desk and our guests talk to us about it all the time. You know, why not, why not mention it?

Ryan Embree:
And there’s also some really cool use case and potentially using competitor data, right? We’ve talked about that on this podcast, on educational webinars. Sometimes when you’re reading those reviews about guest cleanliness and you don’t happen to have a cleanliness problem highlighting things like a housekeeper for the month, talking about your cleanliness protocols, subconsciously, when you see that and your competitors have struggling with their cleanliness scores, now all of a sudden you have the upper hand competitive advantage. And we’re always looking for that, especially in a really crowded competitive market there.

Jason Lee:
But I think this type of data to your point where you were just talking about, I think you can print this out and bring it to your front desk meeting. Talk about the positive things that are going on. Really praise people for the, the positive comments that are coming in and then say, Hey, and then we also add some stuff we need to work on for this month, you know, and let’s, let’s, let’s do it. We will revisit this next month. So it’s a, it’s kind of a cool way to, you know, same thing with housekeeper maintenance, but it, I think it’s a very kind of portable, cool thing you can use inside of these meetings to help make things better.

Ryan Embree:
Yeah. It’s so cool. And, and be mindful also of the season at which you’re looking at this, right? I always talk about summer being the ultimate stress test for a lot of these properties. You might be able to keep that room that you were talking about unoccupied throughout the winter just because your occupancy isn’t there. But all of a sudden, on summer you’re renting that thing every single night. And problems maybe that were like minor issues are now starting to bubble up into major problems during those summer months. We saw an influx, a huge influx. I mean, you guys were on pace for responding to reviews to what, what was the number?

Jason Lee:
Like over 40,000 a month.

Ryan Embree:
Yeah. An incredible amount of reviews, which is fantastic, bcause a lot of hoteliers saw those guests. And that made for a very busy travel season. But it also can really uncover some things looking year to year, month to month, all of those variables there are gonna really create some cool patterns and trends. Give you some extra insights into the, the property.

Jason Lee:
Yeah. We launched this in summer, so we did see a lot of, like, to your point, we saw a lot of AC climate control stuff. You know, because it could be going back to a stress test. It’s your first stress test, with a full hotel and everybody using the AC.

Ryan Embree:
Let’s talk about AI because I feel like one of the things that we’ve been seeing, whether it be on social media or reading and publications and stuff like that, is the use case for AI within hospitality typically in an industry that I would argue is a little bit slower to get to technology, implement technology, but we respond to reviews. Right. Super important. We’ve talked about the importance of responding reviews, hit some milestones with, I think we’re closer to 1.8 million guest reviews responded to. Maybe there’s some hoteliers on here that are saying, well, why not use AI for responding to reviews? What would you say to those hoteliers?

Jason Lee:
Generative AI has come a very long way, and it feels like almost like weekly. New models are coming out, new pieces to this puzzle are coming out. So not just text, but also image and other stuff that it’s just unbelievable. Just incredible. But we’re still kind of in this weird space, I think, and especially when it comes to review response. So I think you get to this space where you can, there’s spots where you could use it but not yet hear. And the reason why we have not gone there and, and we’re actually really careful about this and very deliberate about this. We’re using it in tech summary and some of these other places to create better analytics. But when it comes to communicating with the guests, we’re very deliberate in that space. And the reason why we are is because we see that as actual communication. We don’t see that as some sort of throwaway platitude from AI. We see this as, this is a, this is a human being who stayed with us, and we want to be as part of that conduit between the hotel and their guest. Our responsibility is to represent them in the best possible way, not just to the guest who wrote it, but to all the people that read it. And we think, you know, the primary pillars of of review response have to do with communication. It’s authentic communication to the guest who wrote this review. And if you do that correctly, you do that in a really sincere way, it resonates with the guest who’s reading it. And guess what, you get some dividends with the OTAs for responding to all your reviews and other things on top of that, you know, you get three really powerful pieces of ROI out of review response. But I think if you don’t have that first part, if that is insincere and that’s funky, and AI uses very specific language. And you’ll see vocabulary that is not normally used in the course of communication that a lot of AI uses. You could spot it in emails that you get sometimes you spotted in these various spots. And, and I guarantee an insincere, verbose response is probably AI or template. And so we don’t use either at this point, you know, in the foreseeable future, especially for negative reviews, I don’t ever see that happening just because you have to be, I think in the moment, sincere acknowledging the issue and looking to create recovery.

Ryan Embree:
And what I would say to that is, if not in hospitality, then where, right? I mean, as far as we are looking for a human to human, as we’ve learned, this is the oldest industry out there hosting people. What have we heard over the years of, oh, well at one point we’re just gonna have a virtual check-in and that’s never come to pass. And how many times are we seeing that sometimes a experience is make or break at the front desk because of another person behind the desk? And I think that is a great illustration of why this human to human communication, can it be done? Sure. But it’s not gonna be as impactful. And as you mentioned, as more inauthentic communication begins to rise. And we’re seeing that in our emails every single day. The authenticity is gonna start to bloom out of these organizations and companies and businesses that really embrace that. Well said on your end, this guest experience snapshot, it’s so cool to see AI come to Travel Media Group and this be the first way that it is because it goes back to where Travel Media Group started, which was to help hoteliers. Help hoteliers improve the guest experience. And that’s exactly what this cool innovative tool is doing. So congratulations to and your team Jason, on this. Any final thoughts before we wrap up?

Jason Lee:
Yeah. You know, I will say, just one last thing. As I always do.

Ryan Embree:
That’s why we have the question in here.

Jason Lee:
I think all of this is really what Travel Media Group does or what we try to do. What I aim for on a regular basis with our review response team, our social media team, our development team, is that what we’re able to do is we’re able to focus here, we’re able to focus on reputation, we’re able to focus on the information, we’re able to focus on responses, we’re able to do that because we’re not operating because we’re not doing these other things. And so we’re able to really care about this. And we do. And I think that, you know, really is what all of these tools are about. It’s about giving you the information in a way that’s palatable, giving you the information in a way that’s accessible, but also helping, helping in a way that you might not even be able to help yourself just because of the level of care and focus that we have on it. And, and I really, I mean, I passionately believe in this part of the guest experience that this is their final experience with your hotel and we are just so committed. I know this is a sales pitch, Ryan, but I’m gonna say it anyway, but we are so committed to making sure that that experience is meaningful and impactful.

Ryan Embree:
Yeah. Well, it certainly felt and the way that you talk about it and the solutions and innovations that you and your team are developing over in development. So congratulations again, any hotelier listening to this or your hotel portfolio of hotels, this is something that if you reach out to us, we can give you a guest experience snapshot. We’ve got a live demo that we are putting on together. Would love to get you this information. If anything, like I said, make it a challenge. I think these are the five things that issues with my property right now. Here are the five things that people love, see how many of them match up. And, you know, it’s just cool information to see and how AI is continuing to kind of change our hospitality world. So thank you Jason. And thanks for joining me on The Suite Spot for 150.

Jason Lee:
Thanks Ryan.

Ryan Embree:
Yeah, thanks. And we’ll talk to you next time on The Suite Spot. To join our loyalty program, be sure to subscribe and give us a five star rating on iTunes. Suite Spot is produced by Travel Media Group. Our editor is Brandon Bell with Cover Art by Bary Gordon. I’m your host, Ryan Embree, and we hope you enjoyed your stay.