1 00:00:00,520 --> 00:00:05,840 Speaker 1: You know, what are the KPIs that show you that 2 00:00:05,920 --> 00:00:09,320 Speaker 1: this thing is working or is not working well. 3 00:00:10,160 --> 00:00:14,920 Speaker 2: Number One, we have a lot of founding members and 4 00:00:15,000 --> 00:00:20,639 Speaker 2: people who are who are willing to take a chance 5 00:00:21,120 --> 00:00:26,400 Speaker 2: and pay a lot of money to join this experience 6 00:00:27,120 --> 00:00:30,800 Speaker 2: and be a part of our growth and our app 7 00:00:30,840 --> 00:00:34,920 Speaker 2: from the start. And I think that people's investment in 8 00:00:35,520 --> 00:00:39,840 Speaker 2: understanding not only in the app, but their investment in themselves. 9 00:00:39,960 --> 00:00:43,680 Speaker 2: People want to feel better, People are searching for tools, 10 00:00:44,159 --> 00:00:47,440 Speaker 2: and people are looking for different things that they can 11 00:00:47,479 --> 00:00:50,480 Speaker 2: do to help to improve their lives. And I think 12 00:00:50,560 --> 00:00:55,480 Speaker 2: that through our testing process and through the amount of 13 00:00:55,480 --> 00:00:57,320 Speaker 2: people that are showing up and wanting to be a 14 00:00:57,360 --> 00:00:59,960 Speaker 2: part of our journey without even having seen the app yet, 15 00:01:01,000 --> 00:01:05,160 Speaker 2: I think that's a really big indicator that we are 16 00:01:06,319 --> 00:01:11,440 Speaker 2: that this is something that people are really seeking seeking. 17 00:01:12,080 --> 00:01:15,160 Speaker 1: Yeah, it appears to me that this is like a 18 00:01:15,160 --> 00:01:17,319 Speaker 1: one time payment is can you can you talk about 19 00:01:17,360 --> 00:01:20,680 Speaker 1: how your business model is and if it's a one 20 00:01:20,720 --> 00:01:23,200 Speaker 1: time payment, like how why did you choose that overlight 21 00:01:23,240 --> 00:01:25,280 Speaker 1: subscriptions and talk to me about what it is. 22 00:01:25,880 --> 00:01:29,160 Speaker 2: So this this is a great question because it kind 23 00:01:29,200 --> 00:01:32,440 Speaker 2: of ties into this whole idea of collaboration. It's not 24 00:01:32,560 --> 00:01:34,560 Speaker 2: a one time payment. It's a one time payment for 25 00:01:34,680 --> 00:01:38,959 Speaker 2: founding members and lifetime access. And that was a pre 26 00:01:39,120 --> 00:01:45,280 Speaker 2: launch promotion that we thought that we thought would be 27 00:01:45,280 --> 00:01:48,000 Speaker 2: best for us because we do want to get our 28 00:01:48,080 --> 00:01:50,840 Speaker 2: users feedback before we go to the masses. We do 29 00:01:50,920 --> 00:01:54,160 Speaker 2: want to collect that data. For us, data is gold, 30 00:01:54,280 --> 00:01:58,880 Speaker 2: and we want people who are genuinely invested in their 31 00:01:58,960 --> 00:02:03,640 Speaker 2: experience in Nebby to give us the data and the 32 00:02:03,640 --> 00:02:06,880 Speaker 2: feedback and the surveys. And you know, if you were 33 00:02:06,920 --> 00:02:11,919 Speaker 2: to interview one of our founding members, they probably are 34 00:02:12,000 --> 00:02:15,240 Speaker 2: tired of us by now because the amount of feedback 35 00:02:15,280 --> 00:02:19,040 Speaker 2: we're gathering from their experience of being early users on 36 00:02:19,080 --> 00:02:22,120 Speaker 2: the app is helping us to improve the app already 37 00:02:22,160 --> 00:02:25,760 Speaker 2: before it's even gotten out to everyone else. So I 38 00:02:25,800 --> 00:02:31,360 Speaker 2: think that that So that explains the founding members. The 39 00:02:31,440 --> 00:02:33,959 Speaker 2: app is definitely going to be a subscription model. It's 40 00:02:34,080 --> 00:02:39,440 Speaker 2: thirteen ninety nine a month or a one time or 41 00:02:39,880 --> 00:02:44,760 Speaker 2: an annual payment, so it's of ninety nine dollars. 42 00:02:45,280 --> 00:02:49,040 Speaker 1: Yeah, that's good. That's good. I'm curious, like how did 43 00:02:49,080 --> 00:02:52,200 Speaker 1: you learn to lead, like cause you know, coming from 44 00:02:52,440 --> 00:02:56,320 Speaker 1: you know, kind of like a science psychology, y'all know, 45 00:02:56,520 --> 00:02:59,600 Speaker 1: you can explain like the background, the more medical kind 46 00:02:59,639 --> 00:03:05,120 Speaker 1: of back ground. And then now you're in this chief 47 00:03:05,480 --> 00:03:09,520 Speaker 1: you know, role do your business if you build business before, So. 48 00:03:09,520 --> 00:03:13,799 Speaker 2: I don't want to build, but I don't get used 49 00:03:13,840 --> 00:03:14,160 Speaker 2: to it. 50 00:03:14,280 --> 00:03:16,440 Speaker 1: So how would you do it? 51 00:03:16,520 --> 00:03:18,080 Speaker 2: I'm how did I what? 52 00:03:18,520 --> 00:03:21,919 Speaker 1: How did you learn to lead people and lead an enterprise? 53 00:03:24,880 --> 00:03:28,160 Speaker 2: You know? So that's a really great and interesting question. 54 00:03:28,200 --> 00:03:30,440 Speaker 2: I don't see it as leading, Like I'm such a 55 00:03:30,440 --> 00:03:34,480 Speaker 2: collaborator anyone who you spoke to, anyone who's ever worked 56 00:03:34,520 --> 00:03:39,680 Speaker 2: with me. I think I know enough to know that 57 00:03:39,800 --> 00:03:43,960 Speaker 2: I don't know everything, and that I if I'm going 58 00:03:44,040 --> 00:03:47,000 Speaker 2: to be able to be the best or if anything 59 00:03:47,000 --> 00:03:50,120 Speaker 2: that I'm working on is going to be the best 60 00:03:50,120 --> 00:03:53,400 Speaker 2: that it could possibly be, that means that there are 61 00:03:53,520 --> 00:03:58,520 Speaker 2: going to be that I can't do it by myself, right. 62 00:03:59,480 --> 00:04:01,880 Speaker 2: Like I said, I'm not a tech This is my 63 00:04:01,960 --> 00:04:07,680 Speaker 2: first tech venture and I know nothing about tech, or 64 00:04:07,720 --> 00:04:10,560 Speaker 2: at least I know a little now. But I know 65 00:04:10,920 --> 00:04:16,520 Speaker 2: that putting the right people who share similar values in 66 00:04:16,640 --> 00:04:21,920 Speaker 2: place to build our team together, I think that's really 67 00:04:22,000 --> 00:04:24,320 Speaker 2: important and I think it's a part of leadership is 68 00:04:24,440 --> 00:04:29,159 Speaker 2: knowing how to build a team that will work well together. 69 00:04:29,400 --> 00:04:32,880 Speaker 2: And you know, like I said, I come from a 70 00:04:32,920 --> 00:04:37,480 Speaker 2: sports family. I'm also a single, a sister to three 71 00:04:37,520 --> 00:04:42,120 Speaker 2: brothers and no sisters, So I feel like I've been 72 00:04:42,600 --> 00:04:46,400 Speaker 2: kind of leading and bossing my brothers around since I 73 00:04:46,560 --> 00:04:51,000 Speaker 2: stepped on this earth, you know. And so not only that, 74 00:04:51,160 --> 00:04:55,400 Speaker 2: but I come from a background playing sports and being 75 00:04:55,400 --> 00:04:59,320 Speaker 2: a part of a team and working towards a goal 76 00:04:59,560 --> 00:05:04,960 Speaker 2: and try to and sacrificing things and utilizing what the 77 00:05:05,000 --> 00:05:07,240 Speaker 2: best of everyone and trying to pull out the best 78 00:05:07,279 --> 00:05:10,600 Speaker 2: of everyone in order to achieve one goal. And I 79 00:05:10,640 --> 00:05:15,240 Speaker 2: think that, like, there's so many different things in my 80 00:05:15,360 --> 00:05:19,320 Speaker 2: life and my past and my history that attribute to 81 00:05:19,360 --> 00:05:21,679 Speaker 2: who I am and my approach to leading the team 82 00:05:21,720 --> 00:05:24,880 Speaker 2: that we have now. But at the end of the day, 83 00:05:24,920 --> 00:05:27,640 Speaker 2: I think that when people feel hurt and appreciate it, 84 00:05:28,279 --> 00:05:32,560 Speaker 2: then they're going to give you their best foot forward. 85 00:05:35,200 --> 00:05:37,880 Speaker 1: There's a stat that came out a couple of weeks ago, 86 00:05:37,880 --> 00:05:40,040 Speaker 1: and I said, twenty eight percent of people are using 87 00:05:40,240 --> 00:05:44,080 Speaker 1: AI or have used AI for therapy. At first, I 88 00:05:44,120 --> 00:05:46,680 Speaker 1: want to get like your initial reaction to that, and 89 00:05:46,720 --> 00:05:52,160 Speaker 1: then talk about what implications that could have. 90 00:05:52,760 --> 00:05:56,400 Speaker 2: Oh my gosh, when I first saw that, I wasn't surprised, 91 00:05:56,440 --> 00:06:00,520 Speaker 2: but I was a little appalled. No, I think that 92 00:06:03,560 --> 00:06:10,960 Speaker 2: fortunately for mental health clinicians, I just don't believe that that. 93 00:06:11,680 --> 00:06:14,680 Speaker 2: I believe that as a human we have the best 94 00:06:14,839 --> 00:06:21,600 Speaker 2: opportunity to understand ourselves. And I think that the implications 95 00:06:21,640 --> 00:06:27,760 Speaker 2: about using chat GPT or AI for as a form 96 00:06:27,800 --> 00:06:32,279 Speaker 2: of therapy. There's no hippa in chat GPT, right, So 97 00:06:32,400 --> 00:06:37,159 Speaker 2: anything that you put any information that you share into 98 00:06:37,200 --> 00:06:42,120 Speaker 2: the world or into those programs or that technology is 99 00:06:43,240 --> 00:06:46,760 Speaker 2: there for the grabbing. And I think that in order 100 00:06:46,920 --> 00:06:50,000 Speaker 2: to that's one of the beautiful things about the therapeutic 101 00:06:50,080 --> 00:06:55,000 Speaker 2: experience is that you know that it's a trusted environment. 102 00:06:55,279 --> 00:07:01,320 Speaker 2: And unfortunately, I don't believe that AI has gotten to 103 00:07:01,400 --> 00:07:05,280 Speaker 2: the point where it is a trusted environment. I recently 104 00:07:05,320 --> 00:07:10,840 Speaker 2: saw Sam sam oh I should know this that yes, 105 00:07:11,040 --> 00:07:14,920 Speaker 2: I should know this as a tech entrepreneur. I saw 106 00:07:15,000 --> 00:07:18,760 Speaker 2: him having a conversation about how dangerous it is to 107 00:07:19,120 --> 00:07:25,240 Speaker 2: use AI as your therapist, and he obviously we know 108 00:07:25,320 --> 00:07:28,600 Speaker 2: who he is. And so I think that there's the 109 00:07:28,720 --> 00:07:33,120 Speaker 2: it lacks the human the human touch number one, and 110 00:07:33,160 --> 00:07:36,600 Speaker 2: I think that it doesn't have the security and the 111 00:07:36,640 --> 00:07:40,600 Speaker 2: safety net around it quite yet. That doesn't mean it 112 00:07:40,600 --> 00:07:43,800 Speaker 2: won't happen in the future, but today it's it's not 113 00:07:44,600 --> 00:07:50,760 Speaker 2: necessarily a safe place. And also again we're talking about 114 00:07:51,240 --> 00:07:55,600 Speaker 2: the values and the information of the people who are 115 00:07:56,000 --> 00:08:01,440 Speaker 2: providing that technology, and we don't know there's no way 116 00:08:01,480 --> 00:08:06,080 Speaker 2: to know what information that AI is giving you and 117 00:08:06,120 --> 00:08:08,760 Speaker 2: shooting back out you, shooting it back out to you 118 00:08:09,240 --> 00:08:12,200 Speaker 2: because there's no person behind it, and the person you 119 00:08:12,280 --> 00:08:15,280 Speaker 2: think or it feels that you feel might be behind 120 00:08:15,320 --> 00:08:18,320 Speaker 2: it is not necessarily that's not a real thing.