B (6:41)

And I'll also kind of extend to that. So my motto at Links is do what your grandparents did. Chances are, when your grandpa was courting your grandma, he kept things really simple. There was a clear signal that he was interested. He asked her out, maybe he gave her a rose, and she said, I would love to see you again. She leaned into that opportunity. There wasn't the paradox of choice, the millions of different suitors around her. There was maybe two guys and she expressed interest in the very strong signal pointing towards her. And therefore they made things very simple, not complicating dating. Right. And so I think when we remove a lot of the chaos, but from around us and we distill things down to what I really call the basics and lean in with intentionality for how we date and think about finding an appropriate match, that's when my clients see results. It's like, stop playing games. Pay attention to that person who is expressly interested in getting to know you and really see if there's some merit there. A huge part of what I do at Links is also the strategy that goes into this, but that's really the human approach in what makes high end matchmaking really Special because I feel without that kind of the human sharing my level of expertise, people can quickly get derailed in default into something that is really old habits and patterns of again, trying to kind of over complicate something that doesn't need to be as complicated.

C (8:28)

And also, I'll just add one more. We love data here. I'm a data nut. So matchmaking has a between 70 and 80% success rate across our industry and dating apps have a 9% success rate. So what Amy's telling you is if you want to be successful, slow it down, take your time. When we say intentionality, everyone rolls their eyes. Why do we need to have speak to 15 people on an app. You can speak to two highly qualified people and go on a date with one of them that's going to be a great match for you. Slow it down, be intentional. Matchmaking is a more efficient way of dating because you're only getting people that Amy or through day rule have dated for you. They've been vetted, they've been screened, they've been personality checked, credit checked. We know that there is compatibility. So the baseline is 10 times higher than the baseline of you doing it on your own.

B (9:23)

Exactly. And Adam, one thing I was going to say to that is with our businesses, high end matchmaking, you know, the way that I think, think about this business is really kind of from the inception becoming the ultimate force multiplier through signal compression. My clients actually tell me that they want a reduction in the number of matches, you know, as compared to kind of high volume apps, to your point, and much more kind of highly targeted individuals that could be high probability matches where the chances of actually finding love, it's going to greatly increase as compared to a bunch of lower probability individuals where they might never, you know, find any sort of connection. So I think that that's been a really interesting discovery, especially with the rise of apps and just so many different kind of choices out there that clients come to me like absolutely fatigued from their previous set of experiences and just saying, listen, I'm not looking for 15 or 20 or 30, 30 introductions. Amy, if you can actually give me a curated pool of four, fine, maybe five individuals that are high signal and could be the one. Bring it on. And I'm like, wow, I love that. So it's been really interesting to just see that kind of evolution over the last handful of years.

D (10:48)

Adam, when you were at Bumble, this platform generates a ton of data. What's one pattern or insight from that data that genuinely surprised you even after years in the industry.

C (11:00)

So when I was there at the company, I was a managing director, they owned four apps, so I ran one of them. And so while they have a lot of usage and behavioral data at the time, the biggest piece of data that they used was swipe data. Not conversational data, not profile data. What's going to lead to more swipes? Because more swipes is more time on app. More time on app is more inventory of people and that's potentially more opportunity to upsell you to premium. So it was a little bit shocking to me, not only there, but in other places that they actually use very little profile data at the time in order to match people. It was kind of like, well, you like sports and long walks on the beach and you're the same age in New York, so you must be a good match. There's no reason why these two people should ever be compatible. But that's really, it's very, very basic. And I think that, you know, with all these casual apps, they're using swipe data or click data, depending. Some of these apps are grids. So either click or swip swipe data to see what kind of people you're interested in. Because the more they keep you coming back to the app, the more potential either for ad revenue or for you to upgrade. So on Tinder, every 10th swipe, if you're a heterosexual guy, it'll be a really good looking girl because after 10 swipes, if you don't see someone attractive, you're off the app. So the 10th person is going to be attractive to keep you swiping more. And then once you hit the 20th person, they're going to upgrade you. So they're looking at user behavior, but I don't think from the right point of view, they're not really looking to connect you long term compatibility. And that's because the whole point of matchmaking is we want to get you into a relationship and off of our books. There's millions and millions of singles in the world. I don't need more singles, I need more people in relationships.

D (12:43)

Amy, you and I have talked a lot about the amount of data that you use. And a lot of this data is not digital, but it's a lot of data, very important data. I'll throw the question to you from all your years of experience, 23 years, what are some of those pieces of data that have surprised you and are the most predictive of good matches?

B (13:06)

Well, I think that a lot of people say they want chemistry, right? But at the end of the day, I think one of the surprising kind of truths out of this is they really want emotional safety and somebody who's kind of accountable and emotional maturity. So I'd say those are some of the key things that I've seen over the years that people really want, right? They can say they want something, but at the end of the day there's far more important things that they kind of need for a substantial and a long term relationship.

A (13:47)

You know, it's funny, I feel like for the first time on the Harvard Data Science Review podcast, we found a situation where the algorithms are not the way to go and that it's truly this sort of personalized human touch. But at the same time, really what both of you all work with, what matchmaking really is, is it is data. You know, I called it human intuition or you know, whatever you want at the beginning, but it's, you all have collected years and years and careers of data on people. So I think, you know, in the same sense, you know, so much of what you all have talked about is sort of like people don't know what they want and then you all through matchmaking help them. But has there been a situation where the, you know, it's sort of almost the opposite, like where user behavior or client behavior is a better word than user. I'm still going to the algorithm word where client behavior has changed your data.

C (14:36)

So just just to kind of be clear, we are three Day Rules a very data focused company. So we actually took 15 years of our client data. We know matchmakers have something special that dating apps don't have. And what it is is called post date feedback. I'm sure you guys remember Millionaire Matchmaker with Patty Stanger, right? So on the show after the date occurred, she called both of them and she said, I want to know what happened, why it worked, why it didn't work. Give me as much information as I can so that I can iterate on this. So we do the same thing and so does Amy, I'm sure. At our company we give, we give you a survey, we actually, because we want to ingest it into our own system, we want to find out based on two user profiles of demographic, psychographic and all these full on details, when the data occurred, was it a yes yes, they both want to see each other Again, a yes no or a no no. So we built our own three day rule matchmaking app based on 15 years of our own data. So we know exactly why two things worked or didn't work based upon your specific person could be, I'M a Jewish woman from Boston, and I have these traits, and I like these. Whatever. This is what my career trajectory is going to be. We can find you your person. Now, we still have to have that person in our network to match you with, but we know what kind of person will be compatible to you because we've seen it 20,000 other times. So that is our app that we built, and that is at scale for everyone across the country, every single. And then in terms of. Within our own business, we make changes all the time. Because what Amy's referencing is matchmaking is magical. There's an X factor that we cannot tell you about. We can give you all the data points you want, and maybe 80% of the time it'll work, but for 20% of the time, it won't work, because you're a unique individual and you're not a clone and you're not made from someone else. You're unique and your experiences are unique. So we don't exactly always know what your behavior will be in a date or what your attitude will be or how you're feeling that day. There's so many factors that could influence your. How you perceive someone else. So we try to take as much into consideration as possible. But if you're having a bad day at work, probably don't go on a date, go postpone it, because you don't want to waste that person. So there's so many external factors that can influence whether a date was successful or not.

D (17:01)

Amy, you work with clients that are overwhelmed by choice, and many of them are very, very successful in their careers and professions. And Adam, this is true for many of your clients as well. What patterns do you see in these endless options that the apps provide that are having your clients go to you guys, and what are they hoping to get that they just have not been able to get out there?

B (17:27)

One big thing at Lynx is there's like a method to my madness, which is the amount of homework that I have candidates complete and clients complete. And there's a reason behind that. It's going to weed out individuals who are not aligned with our values, who do not see the value in this, who are not willing to kind of put that initial time into it because maybe they're lazy. They're just whatever. Whatever their rationale is. And so from the inception, we really align value sets very carefully. So when we do match, the client knows whoever they're meeting has gone through a similar, if not the same system. And right there, that just provides a lot of relief and Kind of mental, I think mental relief like that anxiety is really dissipated or the kind of questioning is this person kind of sharing the same values of what I'm looking for. Like from the start everybody knows that anybody who they've been matched to, they've gone through the same system and so it just alleviates a lot of kind of concern and worry. So to again kind of protect well being mental, well being integrity, heart and just hopefully have things already be off to a very strong start.

D (19:00)

So Adam, Amy is AI and using AI in the process of getting to know people and potentially writing prompts and writing responses and maybe just like doing things for one another and posturing this towards the other person. Could this be the new catfishing? How should one think about this? What's ethical? What recommendations do you guys have?

B (19:25)

I mean I think it's a enhancement, it's not a replacement. I think it's obvious when somebody's used that right for responses and whatnot. I mean you can kind of sense that or just instinctively know that somebody wrote a response, had AI do that for you. So I think it's a nice kind of augmentation but it's not everything. I have some clients that lean very heavily on AI like ChatGPT to help them just kind of parse through their love lives. You know, I provide my perspective but then they're like well chatgpt said this or that. So it's I think a nice add on but at the same time I think it does become a very slippery slope and potentially dangerous if somebody is relying so heavily on it for certain answers or validations or you know, decision making. People need to be able to rely on themselves and even if they feel that they don't have the answer themselves, like ask your friends like you're trusted in inner circle, who knows you well versus the machine. I think again, augmentation, not a replacement, but use with caution.

C (20:46)

I, I, I think it really depends for if you're talking, if you're referring to how AI is being used with dating apps, I do think that the current crop of dating apps, because verification is not a requirement, you don't have to use Apple Connect to create a profile. Any random person can. If a bot can create a profile or create onboard and create a profile and then a bot could write everything in your profile and match you, basically swipe for you which can already be done. That is going to be a huge negative. All these dating apps are going to be full of bots. If you're doing something like three day rule is doing. And we, you have to use an Apple, you have to have an Apple Connect account to be able to use this app. You have to have a verified photo to use the app. You have to have a completed profile to use the app. It's a very different way of using AI. We're using AI to augment how you show up. What's happening on a lot of these apps for the regular person, they don't, they don't show up correctly, they don't know how to show up. So oftentimes people show up very generically and their difference is the photo. And so on an app like 3 Day Rule, we have voice AI and we have a 10 minute voice conversation with you to not only get who you are, the essence of who you are, but in our app we look for your tonality and we actually have a lie detector built into our app. So if your tonality changes when you're giving us a response to a question, we'll come back and we'll say, hey, that tonality changed by over 50%. We're going to re ask that same question in three different ways. A good matchmaker also knows when their client's feeling anxious about answering a question, she'll put a pause or he'll put a pause in it and come back to that area, that topic later on. Because if we don't get a good read on who you are, we cannot match you. If you tell us what you think we want to know, we're not going to match you well. So it is very important. And our app is built the same way that a matchmaker would interact with someone. So in that way, I think AI can be very additive. But just like AI is for any person working at a business, if you're not learning and you're just using it to do your job, you are not going to have a job for very long. It will replace you. So be learning while you're using AI. If you're using AI to help to write a profile, learn how to write a good profile, learn how to give a good response. Then you're benefiting from it becomes an educational tool versus a tool that leads you to nowhere.

A (23:02)

All right, so I have my, my, we always sort of have this magic wand question at the end and it's, it's asking you all to wave your magic wand. So if you could wave your magic wand and create an AI tool that would help those who are struggling with dating and, and, and I'm going to add this in there, that would also help with the future of dating, what would it be?

B (23:31)

Well, I'll start. I mean, or is there one?

A (23:33)

You're like none. Just scare me back.

B (23:36)

When I really think about the intricacies of like dating and feedback and all sorts of things, I think that there's a lot of people who would ask the AI tool certain questions that they would not ask the human. Right. Because of fear of, you know, my judgment or something that, you know, it would be deeply revealing that they could be embarrassed about or whatever it is. So when I think about kind of the future and waving that magic wand, it is some sort of tool like that giving individuals, whether it's the masses who are not my clients or my clients kind of that opportunity to gain extra insights and talk with this, this, you know, talk with the machine about certain things they would not necessarily reveal to me, which I think's really cool and very exciting.

C (24:35)

And the way I'll answer this question is shameless. Self promotion. We've already built this. So 3 Day Rule built the first AI powered matchmaking app built by matchmakers and 15 years of their own data. So we created a date coach on our app, which is separate from our matchmaker who will walk you through what should you do on a date? How should you respond to a question? Is sex on the first date okay? If you want a long term relationship, whatever makes you feel anxious or unsure, on demand, you get all of your questions answered instantly in the way we would answer those for white glove clients. And it's cost you $0. It's free. Matchmaking is literally the future. Now how that comes to play with AI, with not AI or how much AI you use, that's debatable. But the future of this industry is matchmaking. And the reason for it is actually does work.

B (25:29)

I love it.

A (25:30)

This has been super fascinating and a really interesting aspect of data. So thank you both.

C (25:37)

You got it.

B (25:38)

Thank you so much for having us here.

A (25:44)

I mean, man, that was a fascinating conversation and the, the tension between these apps and matchmaking and human intuition or what we now sort of think of as data. You know, it's clearly not just about data. It's really about whether the most important parts of human connection can be quantified at all. But I really want to thank Amy Anderson and Adam Cohen islati for sharing their insights with us today. You know, if this episode has you thinking differently about how algorithms shape our choice choices in dating and beyond, that's exactly what we're here for. So if you enjoyed this episode, please subscribe to the Harvard Data Science Review Podcast. Wherever you listen and consider leaving us a review, it helps other curious listeners find us. You can find show notes, transcripts, and links to our guest work at our website. And if you're interested in diving deeper into how data science interacts with human behavior, check out our episodes on everything from predictive policing to personalized medicine. So until next time, remember where you're swiping or being set up. The data can guide you, but the chemistry? That's still all you. Harvard Data Science Review everything. Data Science, Data science for everyone.