1 00:00:05,080 --> 00:00:08,039 Speaker 1: Welcome to the show. I'm Rashaan MacDonald, the host of 2 00:00:08,080 --> 00:00:11,960 Speaker 1: Money Making Conversations Masterclass, where we encourage people to stop 3 00:00:11,960 --> 00:00:15,440 Speaker 1: reading other people's success stories and start planning their own. 4 00:00:16,000 --> 00:00:19,480 Speaker 1: Listen up as I interview entrepreneurs from around the country, 5 00:00:19,720 --> 00:00:22,560 Speaker 1: talk to celebrities and ask them how they are running 6 00:00:22,600 --> 00:00:25,479 Speaker 1: their companies, and speak with dog profits who are making 7 00:00:25,480 --> 00:00:28,520 Speaker 1: a difference in their local communities. Now, sit back and 8 00:00:28,600 --> 00:00:31,639 Speaker 1: listen as we unlock the secrets to their success on 9 00:00:31,760 --> 00:00:36,040 Speaker 1: Money Making Conversations Masterclass. Now let's get this show roll along. 10 00:00:36,120 --> 00:00:38,960 Speaker 1: My guess is on hold. She is the CEO of 11 00:00:39,000 --> 00:00:45,000 Speaker 1: the Collaborative Training Company at CTC, an Atlanta based management 12 00:00:45,080 --> 00:00:49,559 Speaker 1: and professional services consulting firm founded in twenty eighteen. The 13 00:00:49,640 --> 00:00:54,279 Speaker 1: Collaborative Training Company is a professional services consulting firm. They 14 00:00:54,320 --> 00:00:59,360 Speaker 1: support human resources business units by designing and delivering customized 15 00:00:59,400 --> 00:01:05,280 Speaker 1: workshops that increase employee retention, which is very important. Please 16 00:01:05,319 --> 00:01:08,400 Speaker 1: welco with the Money Making Conversation Master Class. Brenda Johnson, 17 00:01:08,400 --> 00:01:09,920 Speaker 1: how are you doing, Brenda? 18 00:01:10,440 --> 00:01:13,360 Speaker 2: I'm good, Rashan, how are you? And congratulations on being 19 00:01:13,440 --> 00:01:16,280 Speaker 2: Men of the Year stim Atlanta Women and doctor Max 20 00:01:16,360 --> 00:01:19,400 Speaker 2: and Kine are close friends of CTC. So I'm thrilleding 21 00:01:19,480 --> 00:01:19,760 Speaker 2: here that. 22 00:01:20,560 --> 00:01:22,560 Speaker 1: Thank you. You know we run into each other. I 23 00:01:22,560 --> 00:01:25,080 Speaker 1: finally got your show, Brenda, I'm so happy as you go. 24 00:01:27,480 --> 00:01:29,560 Speaker 1: I'm busy that day. I'm busy that dude, I'm business 25 00:01:29,600 --> 00:01:32,600 Speaker 1: that Tuesday. So finally have you on your show. Tell everybody. 26 00:01:32,680 --> 00:01:34,240 Speaker 1: I know I read it in the intro, but tell 27 00:01:34,280 --> 00:01:38,360 Speaker 1: everybody in layman terms, what exactly does your company does? 28 00:01:38,360 --> 00:01:40,360 Speaker 1: A collaborative training company. 29 00:01:41,640 --> 00:01:43,720 Speaker 2: For sure, and thank you for the opportunity to be 30 00:01:43,760 --> 00:01:46,000 Speaker 2: on the show. So we work in the space of 31 00:01:46,120 --> 00:01:49,080 Speaker 2: kind of what we call workforce development, which is generally 32 00:01:49,240 --> 00:01:52,880 Speaker 2: connecting talent to jobs, jobs that are sustaining, that have 33 00:01:52,920 --> 00:01:56,440 Speaker 2: a career pathway that like you could actually support your 34 00:01:56,480 --> 00:01:59,640 Speaker 2: family with these jobs. What I do a piece of 35 00:01:59,680 --> 00:02:03,000 Speaker 2: it is learning and development professional development, So I work 36 00:02:03,080 --> 00:02:06,559 Speaker 2: with companies and nonprofit organizations to make sure that their 37 00:02:06,640 --> 00:02:10,560 Speaker 2: talent is upskilled enough not only to perform well in 38 00:02:10,600 --> 00:02:13,680 Speaker 2: their current role, but what's that next step. Right, You've 39 00:02:13,720 --> 00:02:16,359 Speaker 2: got an engineer, they're doing great, but when we want 40 00:02:16,400 --> 00:02:20,080 Speaker 2: to transition them to manager, that's a different skill set 41 00:02:20,120 --> 00:02:22,720 Speaker 2: than maybe this technical skill that you have. So we 42 00:02:22,800 --> 00:02:25,880 Speaker 2: do a little bit of that we do post hire support. 43 00:02:26,160 --> 00:02:30,120 Speaker 2: Companies are moving into what we call the skills based hiring, 44 00:02:30,200 --> 00:02:33,079 Speaker 2: which means a lot of companies have taken a lot 45 00:02:33,120 --> 00:02:35,960 Speaker 2: of time and consideration to remove some of the four 46 00:02:36,040 --> 00:02:39,239 Speaker 2: year degree requirements so that they can get this labor 47 00:02:39,280 --> 00:02:42,200 Speaker 2: pipeline that they need. Often, when you remove the four 48 00:02:42,280 --> 00:02:45,560 Speaker 2: year degree requirement, you may have really skill talent that 49 00:02:45,600 --> 00:02:48,520 Speaker 2: are coming from places where they've never worked in a 50 00:02:48,600 --> 00:02:52,880 Speaker 2: corporate environment. So we will come into the company and say, 51 00:02:52,919 --> 00:02:56,480 Speaker 2: with this cohort of skill talents your prentices, we'll do 52 00:02:56,600 --> 00:03:00,320 Speaker 2: an extra week of onboarding to help them understand some 53 00:03:00,400 --> 00:03:03,680 Speaker 2: of those professional behavioral norms that might be new to them, 54 00:03:04,160 --> 00:03:07,880 Speaker 2: help them acclimate to the culture. This fit this word fit? Oh, 55 00:03:07,960 --> 00:03:10,440 Speaker 2: we love them, they have the right skills, but we 56 00:03:10,480 --> 00:03:12,480 Speaker 2: don't know that they will fit. So we help companies 57 00:03:12,560 --> 00:03:15,639 Speaker 2: unpack what does that fit mean. Does that mean you're 58 00:03:15,639 --> 00:03:17,680 Speaker 2: a fast paced company and you need people to hit 59 00:03:17,720 --> 00:03:21,200 Speaker 2: the ground running. Does that mean you know you assign 60 00:03:21,280 --> 00:03:23,880 Speaker 2: people to mentors? What does that fit? So we help 61 00:03:23,919 --> 00:03:27,639 Speaker 2: companies define what is this ideal employee that you're looking 62 00:03:27,680 --> 00:03:30,280 Speaker 2: for and then connect these talent sources to that. 63 00:03:31,160 --> 00:03:33,800 Speaker 1: Well, now let me ask you this so can someone 64 00:03:33,880 --> 00:03:36,360 Speaker 1: come to you as an individual? Sir Rushan McGaugh, let's 65 00:03:36,400 --> 00:03:38,920 Speaker 1: me and you know, and I want to get a job, 66 00:03:39,040 --> 00:03:41,080 Speaker 1: do I come to you? Or how does that work? 67 00:03:42,600 --> 00:03:45,360 Speaker 2: That's more of what we call a talent coach. And 68 00:03:45,680 --> 00:03:48,480 Speaker 2: I get so much of that in my LinkedIn inbox 69 00:03:48,520 --> 00:03:50,280 Speaker 2: because if you follow me on LinkedIn, you'll see that 70 00:03:50,320 --> 00:03:54,160 Speaker 2: I'm always kind of amplifying opportunities for your career talent 71 00:03:54,200 --> 00:03:56,360 Speaker 2: how to get it these jobs. So I do not 72 00:03:56,560 --> 00:03:59,960 Speaker 2: do individual talent coaching, but I am a collaborative partner 73 00:04:00,160 --> 00:04:03,560 Speaker 2: of many organizations who do exactly that. So with the 74 00:04:03,600 --> 00:04:07,760 Speaker 2: workforce development ecosystem, we've got to partner, right, you need 75 00:04:07,840 --> 00:04:09,960 Speaker 2: talent coaches, you need people that are working with the 76 00:04:10,000 --> 00:04:12,880 Speaker 2: companies on that side. You need your community colleges, your 77 00:04:12,960 --> 00:04:15,760 Speaker 2: high school programs. We've all got to work together to 78 00:04:15,920 --> 00:04:18,520 Speaker 2: make sure that this talent is a strong candidate when 79 00:04:18,560 --> 00:04:21,320 Speaker 2: that job opportunity comes. So I do not do individual 80 00:04:21,320 --> 00:04:22,040 Speaker 2: talent coaching. 81 00:04:22,520 --> 00:04:25,720 Speaker 1: Now that that's not you know. Now with that being said, now, 82 00:04:25,920 --> 00:04:29,080 Speaker 1: how do you identify and nurture the unique talent of 83 00:04:29,200 --> 00:04:32,720 Speaker 1: job seekers who may not fit the traditional corporate mode? 84 00:04:32,839 --> 00:04:35,479 Speaker 1: Right now, that's why I'm trying to confuse educate me. 85 00:04:35,880 --> 00:04:40,880 Speaker 1: I understand what you're doing, but you're saying, Rashan, we place, 86 00:04:41,320 --> 00:04:46,520 Speaker 1: we help people adjust. We talking about the corporate side, 87 00:04:46,560 --> 00:04:49,120 Speaker 1: the people who do the hiring side. All you talk 88 00:04:49,160 --> 00:04:52,920 Speaker 1: about because you don't do the individual coaching right. 89 00:04:52,760 --> 00:04:56,080 Speaker 2: Correct, right. So when you work with the larger companies 90 00:04:56,080 --> 00:04:59,359 Speaker 2: than many of the smaller ones, they already have talent acquisitions. 91 00:04:59,560 --> 00:05:03,720 Speaker 2: They've got recruiters, they've got campus recruits, they've got that expertise, 92 00:05:03,800 --> 00:05:05,800 Speaker 2: and so I am not a staffing firm. We do 93 00:05:05,920 --> 00:05:08,440 Speaker 2: not do that work. So we let them do that 94 00:05:08,560 --> 00:05:11,520 Speaker 2: methodology that they have to find the talent, and then 95 00:05:11,600 --> 00:05:14,039 Speaker 2: we come in after they found the talent to get 96 00:05:14,080 --> 00:05:17,200 Speaker 2: them more ready for success. I don't know if you've 97 00:05:17,279 --> 00:05:19,880 Speaker 2: ever had a job that on day one, when you 98 00:05:19,960 --> 00:05:23,240 Speaker 2: got to that job, you're like, this isn't it. I 99 00:05:23,279 --> 00:05:25,479 Speaker 2: don't think I'm a good fit. I hate it here. 100 00:05:25,760 --> 00:05:28,000 Speaker 2: But you feel that in the first two weeks. There 101 00:05:28,000 --> 00:05:30,960 Speaker 2: are reasons that that might happen. That just mean anytime 102 00:05:31,000 --> 00:05:34,120 Speaker 2: we're placing an environment I'm familiar to us, it can 103 00:05:34,120 --> 00:05:37,840 Speaker 2: be uncomfortable. You can have this imposter syndrome that they 104 00:05:37,839 --> 00:05:39,920 Speaker 2: talk about so many of the people. If you place 105 00:05:40,000 --> 00:05:42,880 Speaker 2: some one that's come from a Walmart or Amazon, warehouse, 106 00:05:42,920 --> 00:05:46,000 Speaker 2: fastroom retail, and you put them at a job at 107 00:05:46,000 --> 00:05:49,960 Speaker 2: at and T, it may feel massively uncomfortable. To an extent, 108 00:05:50,400 --> 00:05:52,800 Speaker 2: they'll go back to that warehouse job right because they 109 00:05:52,800 --> 00:05:56,600 Speaker 2: feel comfortable I fit. So we let the companies do 110 00:05:56,680 --> 00:05:59,520 Speaker 2: their own hiring or work with their staffing agencies that 111 00:05:59,560 --> 00:06:03,520 Speaker 2: they all already have. We really lean into that cohort 112 00:06:03,560 --> 00:06:06,159 Speaker 2: that you just hired. We want to get them a 113 00:06:06,279 --> 00:06:09,479 Speaker 2: one to one mentor in that company that has that 114 00:06:09,600 --> 00:06:12,280 Speaker 2: shared lived experience. So if I get Rashaan McDonald a 115 00:06:12,360 --> 00:06:15,960 Speaker 2: job at IBM and he's young, early career, hasn't been 116 00:06:15,960 --> 00:06:18,080 Speaker 2: in corporate, I'm going to look for an older black 117 00:06:18,120 --> 00:06:22,760 Speaker 2: male because he'll have that lived experience at IBM. This 118 00:06:22,839 --> 00:06:25,000 Speaker 2: is what I've experienced. These are some things I can 119 00:06:25,040 --> 00:06:28,839 Speaker 2: help Reshaan navigate. And we use those employee resource groups 120 00:06:28,839 --> 00:06:31,440 Speaker 2: a lot to tap one to one mentors for this 121 00:06:31,640 --> 00:06:35,280 Speaker 2: time that's coming in to help them retain at that company. 122 00:06:36,080 --> 00:06:39,440 Speaker 1: Wow, I'm talking to Brenda Johnson. She's a CEO Collaborative 123 00:06:39,520 --> 00:06:44,560 Speaker 1: Training Company CTC. It's a professional services consulting firm provides 124 00:06:44,600 --> 00:06:48,960 Speaker 1: professional development and career readiness training for companies who are 125 00:06:49,000 --> 00:06:52,440 Speaker 1: bringing people in and making happing them to adjust. Now, 126 00:06:52,440 --> 00:06:54,480 Speaker 1: I got to say, the magical world that's just been 127 00:06:54,520 --> 00:07:01,159 Speaker 1: dominating everybody, AI artificial intelligence, robots going to take my job. 128 00:07:02,120 --> 00:07:04,360 Speaker 1: A robot's gonna take my job. Let me know, Brenda, 129 00:07:04,520 --> 00:07:06,720 Speaker 1: because I gotta find that right now, help me out 130 00:07:06,880 --> 00:07:09,560 Speaker 1: hip out everybody, because that's the that's the big fear. 131 00:07:11,120 --> 00:07:14,080 Speaker 2: I won't say robots, let's say machine learning. I would 132 00:07:14,160 --> 00:07:17,640 Speaker 2: say there are already jobs that have been replaced by 133 00:07:17,720 --> 00:07:22,640 Speaker 2: AI components personally. And this is the Brenda Johnson perspective. 134 00:07:23,160 --> 00:07:28,400 Speaker 2: Humans are uniquely designed to be creative and innovative. So 135 00:07:28,480 --> 00:07:32,280 Speaker 2: what machine learning can do is only create an outcome 136 00:07:32,320 --> 00:07:36,000 Speaker 2: based on existing information, existing data. We can feed it 137 00:07:36,360 --> 00:07:38,880 Speaker 2: one hundred jobs, right and from the hundred, it can 138 00:07:38,920 --> 00:07:42,320 Speaker 2: create something. But it can't do that uniquely human thing 139 00:07:42,720 --> 00:07:45,040 Speaker 2: that we do, which is create something from nothing, have 140 00:07:45,120 --> 00:07:48,320 Speaker 2: a really innovative idea. So what I tell you know, 141 00:07:48,360 --> 00:07:51,400 Speaker 2: all the young professionals, they're going to check GPT to 142 00:07:51,440 --> 00:07:53,960 Speaker 2: try to do their jobs right. And I say, if 143 00:07:54,000 --> 00:07:58,600 Speaker 2: you don't take that output and put your personal fingerprint 144 00:07:58,720 --> 00:08:02,960 Speaker 2: on that it's garbage because you have lived experience, you 145 00:08:03,120 --> 00:08:06,920 Speaker 2: have expertise, you have the ability to make it your own. 146 00:08:07,200 --> 00:08:11,680 Speaker 2: So I'm a fan of AI and efficiency increasing productivity. 147 00:08:11,720 --> 00:08:14,040 Speaker 2: You can do research a lot quicker with that I 148 00:08:14,560 --> 00:08:16,560 Speaker 2: but you take that output, and for me, that's my 149 00:08:16,640 --> 00:08:19,800 Speaker 2: starting point. So there are are absolutely jobs that will 150 00:08:19,840 --> 00:08:23,520 Speaker 2: be automated, but there are many more jobs that will 151 00:08:23,560 --> 00:08:25,920 Speaker 2: not be automated, or somebody still has to tell the 152 00:08:26,000 --> 00:08:27,720 Speaker 2: robots what to do. Right. 153 00:08:28,200 --> 00:08:30,240 Speaker 1: I'm gonna tell you something. I was in this restaurant, 154 00:08:30,280 --> 00:08:32,800 Speaker 1: you know, we're based in Atlanta, Georgia. I was in Pascales, 155 00:08:32,840 --> 00:08:37,439 Speaker 1: which is a upscale Black African American restaurant, and they 156 00:08:37,440 --> 00:08:39,480 Speaker 1: brought my food out. A little robot broke my food out. 157 00:08:39,520 --> 00:08:42,920 Speaker 1: Now I was tonned. I'm looking at it just just 158 00:08:43,000 --> 00:08:45,880 Speaker 1: turned right there. Light came on, pushed my food out, 159 00:08:46,080 --> 00:08:48,920 Speaker 1: and I got it that that robot. Nobody knows. The 160 00:08:49,040 --> 00:08:52,680 Speaker 1: human element was gone, you know. And then then I 161 00:08:52,840 --> 00:08:55,320 Speaker 1: just it just rolled away. And it was like a 162 00:08:55,360 --> 00:08:59,160 Speaker 1: side show because everybody in the restaurant was like, wow, wow, 163 00:09:00,120 --> 00:09:04,640 Speaker 1: I just serving everybody. And I was coming over here today, Brenda, 164 00:09:05,160 --> 00:09:07,480 Speaker 1: and I was in a red light and I saw 165 00:09:07,520 --> 00:09:09,520 Speaker 1: a little bit of a robot at the red light. 166 00:09:09,679 --> 00:09:13,520 Speaker 1: It looked at robots. It was just sitting there waiting 167 00:09:13,600 --> 00:09:15,280 Speaker 1: for the I don't know, waiting for the light to change. 168 00:09:15,280 --> 00:09:17,840 Speaker 1: Because in my mind, Brenda, I'm gonna go a lot 169 00:09:17,880 --> 00:09:19,840 Speaker 1: to you. I would have run over it. I would 170 00:09:19,880 --> 00:09:22,000 Speaker 1: have run over it if it were came in my 171 00:09:22,120 --> 00:09:26,120 Speaker 1: lane because I was like, automation is taking our jobs. 172 00:09:27,120 --> 00:09:30,560 Speaker 2: Don't kill the technology. So I got to technology. I 173 00:09:30,640 --> 00:09:34,240 Speaker 2: won't know, don't kill the technology. They're extensive. There was 174 00:09:34,280 --> 00:09:39,400 Speaker 2: a fast food chain that piloted like AI taking your 175 00:09:39,559 --> 00:09:43,000 Speaker 2: order at the order board. A riper of incorrect orders 176 00:09:43,760 --> 00:09:48,199 Speaker 2: was so high they had to kill that. Self driving cars. 177 00:09:48,240 --> 00:09:49,560 Speaker 2: I spent a year and a half out in the 178 00:09:49,600 --> 00:09:52,680 Speaker 2: Bay Area. You saw the self driving cars being tested. 179 00:09:53,480 --> 00:09:56,320 Speaker 2: The County Commission had a meeting the fire departments. The 180 00:09:56,360 --> 00:09:59,959 Speaker 2: police department showed up and said, listen, these things short 181 00:10:00,080 --> 00:10:02,640 Speaker 2: out and stop. Just like a computer, computer freezes up. 182 00:10:02,880 --> 00:10:05,880 Speaker 2: Stuff driving driving cars freeze up, and often they're freezing 183 00:10:06,000 --> 00:10:08,640 Speaker 2: up in front of the fire station, so the fire 184 00:10:08,679 --> 00:10:10,959 Speaker 2: truck can't get out. None of us can move it. 185 00:10:11,320 --> 00:10:14,600 Speaker 2: We can't program it. But there's a lot to be 186 00:10:14,760 --> 00:10:17,680 Speaker 2: desired in the technology, it's not there yet, and if 187 00:10:17,720 --> 00:10:22,360 Speaker 2: the companies will do the diligence of piloting, many of 188 00:10:22,400 --> 00:10:26,320 Speaker 2: these replacements of humans won't work. It's what you see 189 00:10:26,360 --> 00:10:29,720 Speaker 2: at a big chain. Oh we want you to scan 190 00:10:29,800 --> 00:10:32,240 Speaker 2: your own stuff. We don't want you to scan your 191 00:10:32,280 --> 00:10:35,360 Speaker 2: own stuff. It's that back and forth. So I think 192 00:10:35,400 --> 00:10:38,000 Speaker 2: the business case has to be there. But if there's 193 00:10:38,040 --> 00:10:40,880 Speaker 2: a dropping quality of outcome, some of that AI stuff 194 00:10:40,920 --> 00:10:42,679 Speaker 2: is going to world right back to humans. 195 00:10:43,120 --> 00:10:45,640 Speaker 1: Now let me ask you this, Brenda, because you know 196 00:10:46,080 --> 00:10:48,560 Speaker 1: now we're talking about AI because we have to, because 197 00:10:49,240 --> 00:10:51,800 Speaker 1: you know that's you know, the recent election, that's all 198 00:10:51,840 --> 00:10:54,600 Speaker 1: they talked about with AI. You know, you have Elon Musk. 199 00:10:54,679 --> 00:10:57,040 Speaker 1: You know he's good drive. You know basically you know, 200 00:10:57,240 --> 00:10:58,920 Speaker 1: you can just sit back and take a nap in 201 00:10:58,920 --> 00:11:01,920 Speaker 1: the car, take you around. You can see different situations. 202 00:11:01,920 --> 00:11:04,240 Speaker 1: And you're right, there's some traffic jams that have been 203 00:11:04,240 --> 00:11:06,960 Speaker 1: created because the cars just got confused and it just 204 00:11:07,040 --> 00:11:10,720 Speaker 1: locked up and just didn't move anymore. But that's taking 205 00:11:10,720 --> 00:11:14,120 Speaker 1: away potential. You know, Uber drivers and things of that 206 00:11:14,280 --> 00:11:17,280 Speaker 1: nature are left drivers with these cars. Once they get 207 00:11:17,320 --> 00:11:20,000 Speaker 1: it right, you just hop in a car, put your 208 00:11:20,000 --> 00:11:22,360 Speaker 1: credit card in and it'll take you home or take 209 00:11:22,400 --> 00:11:26,000 Speaker 1: you to the airport. So there are situations that are 210 00:11:26,040 --> 00:11:30,520 Speaker 1: coming along. But you're saying, Rashan, that is one job option, 211 00:11:30,840 --> 00:11:33,200 Speaker 1: but there is another job option that's going to repair 212 00:11:33,280 --> 00:11:37,760 Speaker 1: that that vehicle, that's going to a program, that vehicle 213 00:11:37,760 --> 00:11:40,720 Speaker 1: if it goes wacky, if it's going to be able 214 00:11:40,760 --> 00:11:44,080 Speaker 1: to You have to see that. There are other opportunity 215 00:11:44,200 --> 00:11:47,880 Speaker 1: that don't require four year degrees that you can train 216 00:11:48,040 --> 00:11:51,200 Speaker 1: people are trained them up. Once these corporations bring you 217 00:11:51,240 --> 00:11:54,760 Speaker 1: on board, and that's your job as far as CTC 218 00:11:55,040 --> 00:11:56,920 Speaker 1: correct correct. 219 00:11:57,040 --> 00:12:00,640 Speaker 2: I think historically in America, the four year degree requirement 220 00:12:00,800 --> 00:12:03,520 Speaker 2: was an artificial barrier for certain people not to be 221 00:12:03,559 --> 00:12:06,640 Speaker 2: able to get certain jobs. Now that we have more 222 00:12:06,679 --> 00:12:10,840 Speaker 2: Americans opting out of the four year degree, there will 223 00:12:10,840 --> 00:12:13,400 Speaker 2: be a labor shortage. If eighty percent of the jobs 224 00:12:13,480 --> 00:12:16,640 Speaker 2: in your applicant tracking system require degree, those jobs will 225 00:12:16,679 --> 00:12:19,360 Speaker 2: sit and you'll see it, Well, y'all had this job 226 00:12:19,360 --> 00:12:23,000 Speaker 2: poster for nine months, no one's getting the job. So 227 00:12:23,080 --> 00:12:25,440 Speaker 2: they've got to think differently and say, instead of this 228 00:12:25,520 --> 00:12:28,760 Speaker 2: piece of paper, let's revisit the job description. Right, this 229 00:12:28,840 --> 00:12:32,360 Speaker 2: job description has been in our system ten years. Technology 230 00:12:32,360 --> 00:12:35,320 Speaker 2: has changed, our processes have changed, but we really didn't 231 00:12:35,360 --> 00:12:38,680 Speaker 2: take the time to sit down and rewrite the job description. 232 00:12:38,840 --> 00:12:41,440 Speaker 2: So instead, I'll sit with someone and say, give me 233 00:12:41,480 --> 00:12:44,280 Speaker 2: three adjectives for someone who is a star in this role. 234 00:12:44,880 --> 00:12:47,319 Speaker 2: Give me three adjectives for someone you would never hire 235 00:12:47,400 --> 00:12:49,680 Speaker 2: for this role. I'll learn more about what you need 236 00:12:50,160 --> 00:12:54,720 Speaker 2: from that job than this two page job requisition that 237 00:12:54,840 --> 00:12:57,400 Speaker 2: hasn't been changed. The hiring manager doesn't have time to 238 00:12:57,400 --> 00:13:00,720 Speaker 2: do it. Talent acquisition doesn't write the job description. Often 239 00:13:00,760 --> 00:13:04,400 Speaker 2: the companies do not have a person on staff responsible 240 00:13:04,840 --> 00:13:07,199 Speaker 2: for even who makes the decision to take the for 241 00:13:07,360 --> 00:13:10,319 Speaker 2: your degree away. What's that process like? So it can 242 00:13:10,360 --> 00:13:13,000 Speaker 2: be a long journey to just say, let's think about 243 00:13:13,040 --> 00:13:15,560 Speaker 2: some of the jobs that don't need the four your 244 00:13:15,640 --> 00:13:19,280 Speaker 2: degree and instead let's focus on five to seven skills 245 00:13:19,600 --> 00:13:23,560 Speaker 2: of someone who excels in the job sales job pharmaceutical sales. 246 00:13:23,640 --> 00:13:27,760 Speaker 2: That's an interesting conversation, I asked, that's a well paying job. 247 00:13:28,040 --> 00:13:30,400 Speaker 2: Do you really need a college degree for that? Tell 248 00:13:30,400 --> 00:13:31,920 Speaker 2: me why you need a college degree for that? 249 00:13:33,040 --> 00:13:36,000 Speaker 1: Now, Wow, we're going to go to break before I 250 00:13:36,040 --> 00:13:39,160 Speaker 1: want to ask the question. The simmer on your side 251 00:13:39,200 --> 00:13:42,200 Speaker 1: of the conversation. Want to come back. Can you share 252 00:13:42,240 --> 00:13:43,959 Speaker 1: an example when we come back for a break of 253 00:13:44,080 --> 00:13:48,720 Speaker 1: how you have successfully helped the company diversifies talent pipeline 254 00:13:49,200 --> 00:13:52,320 Speaker 1: while improving business performance. That's of question I'm gonna ask, 255 00:13:52,400 --> 00:13:54,400 Speaker 1: don't go nowhere. We want to break be back with 256 00:13:54,480 --> 00:13:58,000 Speaker 1: more money Making Conversations with my friend Brenda Johnson. 257 00:13:58,440 --> 00:14:01,600 Speaker 3: Please don't go anywhere. We'll be right back with more 258 00:14:01,679 --> 00:14:12,520 Speaker 3: money Making Conversations Masterclass. Welcome back to the money Making 259 00:14:12,600 --> 00:14:18,280 Speaker 3: Conversations Masterclass, hosted by Rashan McDonald. Money Making Conversations Masterclass 260 00:14:18,360 --> 00:14:22,960 Speaker 3: continues online at Moneymakingconversations dot com and follow money Making 261 00:14:23,000 --> 00:14:26,640 Speaker 3: Conversations Masterclass on Facebook, Twitter, and Instagram. 262 00:14:26,920 --> 00:14:30,440 Speaker 1: Welcome back to money Making Conversations Masterclass. I'm speaking with 263 00:14:30,960 --> 00:14:35,800 Speaker 1: Brenda Johnson. She's the CEO of Collaborative Training Company. Now, Brenda, 264 00:14:35,920 --> 00:14:39,000 Speaker 1: can you share an example of how you successfully help 265 00:14:39,000 --> 00:14:42,880 Speaker 1: a company diversify it it's talented pipeline where I improve 266 00:14:42,960 --> 00:14:44,720 Speaker 1: in business performance. 267 00:14:46,440 --> 00:14:49,400 Speaker 2: Absolutely, I'm so through that you asked me that. And 268 00:14:50,160 --> 00:14:53,480 Speaker 2: to preface my answer, when we get approached with the 269 00:14:53,520 --> 00:14:56,360 Speaker 2: companies like we want to diversit fire our talent pipeline. One, 270 00:14:56,520 --> 00:15:00,800 Speaker 2: let's unpack diversity if it's nursing as a second, Does 271 00:15:00,880 --> 00:15:04,520 Speaker 2: diversify mean more men? Right? What are we talking about? 272 00:15:04,520 --> 00:15:06,560 Speaker 2: Because I think when we hear diversity, everyone goes to 273 00:15:06,720 --> 00:15:08,960 Speaker 2: race and gender. They do, so I think we have 274 00:15:09,080 --> 00:15:11,920 Speaker 2: to be clear what we're talking about. But the example 275 00:15:11,960 --> 00:15:14,720 Speaker 2: that I love, I won't name the company. They had 276 00:15:14,760 --> 00:15:17,720 Speaker 2: like a really well high paying, well I think high 277 00:15:17,760 --> 00:15:20,160 Speaker 2: paying job. This is out of I won't even name where. 278 00:15:20,480 --> 00:15:23,360 Speaker 2: About a seventy seventy five thousand dollars job that you 279 00:15:23,360 --> 00:15:26,800 Speaker 2: could get without a degree, And it looked like administrative work. 280 00:15:26,880 --> 00:15:30,080 Speaker 2: You're going to support some executives, You're going to do 281 00:15:30,120 --> 00:15:33,480 Speaker 2: some travel planning, some calendar management, and they were willing 282 00:15:33,480 --> 00:15:35,720 Speaker 2: to remove the for your degree requirement when we get 283 00:15:35,760 --> 00:15:39,280 Speaker 2: that request. This is when we do do talent coaching. 284 00:15:39,520 --> 00:15:42,240 Speaker 2: So when I have a clear job description, I understand 285 00:15:42,320 --> 00:15:45,640 Speaker 2: the company's culture. We go out in the community, our 286 00:15:45,720 --> 00:15:49,360 Speaker 2: talent partners, our talent developers and say who has the 287 00:15:49,520 --> 00:15:52,280 Speaker 2: hard skills in your talent pool that look like this. 288 00:15:52,680 --> 00:15:55,920 Speaker 2: We screen them, we get to know them individually a 289 00:15:55,960 --> 00:15:59,200 Speaker 2: lot of people have tried to scale matching a person 290 00:15:59,240 --> 00:16:01,880 Speaker 2: to a job. If you've ever looked for a job. 291 00:16:02,280 --> 00:16:05,080 Speaker 2: It's not really scalable in that way because it's very 292 00:16:05,160 --> 00:16:09,160 Speaker 2: high touch. So we'll take a group of candidates, get 293 00:16:09,200 --> 00:16:12,120 Speaker 2: them in a cohort, and we're getting to know them. 294 00:16:12,200 --> 00:16:15,640 Speaker 2: Do they have soft skills? Will this person even have 295 00:16:15,800 --> 00:16:18,080 Speaker 2: what we call wrap around supports? Do you have a car? 296 00:16:18,240 --> 00:16:20,880 Speaker 2: But they say you're going to You're going to go 297 00:16:20,960 --> 00:16:22,800 Speaker 2: to this site and done Woodie and this side in 298 00:16:22,840 --> 00:16:25,120 Speaker 2: the cab and this site downtown. You got to make 299 00:16:25,120 --> 00:16:28,000 Speaker 2: sure they're stable transportation. Are their childcare issues? We can 300 00:16:28,160 --> 00:16:30,840 Speaker 2: have our companies having to solve a lot of that. 301 00:16:31,000 --> 00:16:32,960 Speaker 2: At this point, I think they could invest in that, 302 00:16:33,320 --> 00:16:35,360 Speaker 2: but at this point we're not. So that's when we 303 00:16:35,440 --> 00:16:38,920 Speaker 2: do do what we call talent coaching. Prep for the interview, 304 00:16:39,280 --> 00:16:41,840 Speaker 2: Let's look at your resume. Let's talk about the job 305 00:16:41,920 --> 00:16:44,480 Speaker 2: that you had at McDonald's and at Target and what 306 00:16:44,560 --> 00:16:47,400 Speaker 2: you did there, so we can translate those skills into 307 00:16:47,480 --> 00:16:50,640 Speaker 2: exactly what they want. So, if I'm gonna send a 308 00:16:50,680 --> 00:16:53,880 Speaker 2: group of candidates to be screened for a high volume, 309 00:16:53,960 --> 00:16:57,200 Speaker 2: recurring role, those talent I have to touch. I have 310 00:16:57,280 --> 00:17:00,920 Speaker 2: to see my team spends time with them. A really 311 00:17:01,800 --> 00:17:06,280 Speaker 2: interesting dynamic we see lately, it's this neuro diversity, meaning 312 00:17:06,600 --> 00:17:10,440 Speaker 2: we're now where autism is going to be in our 313 00:17:10,480 --> 00:17:14,560 Speaker 2: talent pool. How does that show up? Because everyone wants 314 00:17:14,600 --> 00:17:16,560 Speaker 2: to have an access to work, So this is when 315 00:17:16,560 --> 00:17:20,560 Speaker 2: you get to know, Oh, Okay, this person has autism. 316 00:17:20,640 --> 00:17:23,560 Speaker 2: That's why he's not looking me in the eye. Is 317 00:17:23,600 --> 00:17:26,240 Speaker 2: this something we can talk through with the company. We've 318 00:17:26,280 --> 00:17:31,800 Speaker 2: had a lot of success doing that. They feel really 319 00:17:32,000 --> 00:17:34,240 Speaker 2: rewarded to be able to open up a well paying 320 00:17:34,320 --> 00:17:36,159 Speaker 2: job for people that don't have a degree. But the 321 00:17:36,200 --> 00:17:39,240 Speaker 2: companies need to be able to see the results of 322 00:17:39,280 --> 00:17:43,840 Speaker 2: that and then have they retained how are they performing? Oh, 323 00:17:43,920 --> 00:17:46,280 Speaker 2: let's do it again. Let's do it again in the spring. 324 00:17:46,520 --> 00:17:48,480 Speaker 2: We're going to have this many openings, but it is 325 00:17:48,520 --> 00:17:51,400 Speaker 2: a lot of work and it requires a lot of partnerships. 326 00:17:51,520 --> 00:17:53,800 Speaker 1: Wow, that sounds great, but you said something in a 327 00:17:53,800 --> 00:17:59,960 Speaker 1: buzzword that really has had me all annoyed. With diversity, equity, inclusion, 328 00:18:00,080 --> 00:18:02,840 Speaker 1: and whatever we use, the word diversity is always tied 329 00:18:02,840 --> 00:18:07,600 Speaker 1: to race. Talk to us about you know, how you've 330 00:18:07,640 --> 00:18:12,199 Speaker 1: seen the shift in diversity echoin inclusion over the last 331 00:18:12,240 --> 00:18:15,080 Speaker 1: four years, I guess, And what do you see the 332 00:18:15,080 --> 00:18:19,240 Speaker 1: future moving forward for diversity in the workforce. 333 00:18:20,560 --> 00:18:23,199 Speaker 2: Correct. So I think that's all. I think there was 334 00:18:23,800 --> 00:18:27,280 Speaker 2: a milestone moment. But George Floyd, we had many companies, 335 00:18:27,320 --> 00:18:31,560 Speaker 2: many organizations moved to embrace the EI and actually put 336 00:18:31,600 --> 00:18:34,360 Speaker 2: money behind it, and that looked a lot of different ways. 337 00:18:34,640 --> 00:18:36,760 Speaker 2: Then we have the Scholist ruling come out and say 338 00:18:36,920 --> 00:18:38,800 Speaker 2: you really shouldn't be doing that. We might sue you 339 00:18:38,800 --> 00:18:41,240 Speaker 2: if you do that. So at the end of the day, 340 00:18:42,240 --> 00:18:45,280 Speaker 2: it has to be a business case that this company 341 00:18:45,880 --> 00:18:50,760 Speaker 2: needs talent. And historically, if that talent were white men 342 00:18:50,800 --> 00:18:53,600 Speaker 2: with a four year degree followed by white women with 343 00:18:53,640 --> 00:18:56,639 Speaker 2: the four year degree down the line, that company's not 344 00:18:56,720 --> 00:18:59,040 Speaker 2: going to be in business because the demographics of the 345 00:18:59,400 --> 00:19:02,560 Speaker 2: country has shifted and fewer people are opting to get 346 00:19:02,600 --> 00:19:05,359 Speaker 2: a for your degree anyway. So we talk about diversity, 347 00:19:05,920 --> 00:19:10,520 Speaker 2: I challenge people that think beyond race and gender because 348 00:19:10,560 --> 00:19:13,160 Speaker 2: now we have four or five generations in the workplace. 349 00:19:13,200 --> 00:19:15,680 Speaker 2: That's a whole different conversation about the way in which 350 00:19:15,760 --> 00:19:19,359 Speaker 2: we show up. We have the neuro diversity issue, the autism, 351 00:19:19,400 --> 00:19:23,760 Speaker 2: the aspergers, we have the LGBT status. We have accessibility 352 00:19:24,720 --> 00:19:28,040 Speaker 2: people that need enabling conditions to be able to work here. 353 00:19:28,400 --> 00:19:30,960 Speaker 2: So I think where we are now is you see 354 00:19:30,960 --> 00:19:33,960 Speaker 2: a departure of a group of companies who have said, 355 00:19:34,000 --> 00:19:36,959 Speaker 2: thank you, we don't want to do that anymore. And 356 00:19:37,000 --> 00:19:39,800 Speaker 2: you have another group of companies that are still very 357 00:19:39,840 --> 00:19:43,760 Speaker 2: dedicated to building the pipeline that they need from the 358 00:19:43,800 --> 00:19:47,080 Speaker 2: broader labor force and are asking people to help with that. 359 00:19:47,400 --> 00:19:49,520 Speaker 2: Where can I find the talent because these companies are 360 00:19:49,520 --> 00:19:53,920 Speaker 2: not necessarily connected into these communities. One of the reasons 361 00:19:53,920 --> 00:19:57,320 Speaker 2: that they're not with what's your recruiting strategy. I've had 362 00:19:57,359 --> 00:20:01,679 Speaker 2: companies say, oh, we only recruit from three schools in Illinois. 363 00:20:02,160 --> 00:20:05,600 Speaker 2: Tell me about that. Okay, so if you're in Atlanta, 364 00:20:05,760 --> 00:20:08,840 Speaker 2: tell me about your recruiting strategy. Tell me if you 365 00:20:08,880 --> 00:20:12,960 Speaker 2: have a different quote unquote HBCU recruiting strategy. Why is 366 00:20:13,000 --> 00:20:15,439 Speaker 2: it different. How much money is in this one? How 367 00:20:15,520 --> 00:20:17,280 Speaker 2: much money is in that one. So you can't come 368 00:20:17,320 --> 00:20:20,639 Speaker 2: and say I want to diversify, but you have this 369 00:20:21,119 --> 00:20:25,160 Speaker 2: separated recruiting strategy. And so if you start to peel 370 00:20:25,160 --> 00:20:28,160 Speaker 2: back the layers, this is the status quo of America. 371 00:20:28,720 --> 00:20:30,480 Speaker 2: But if you're saying I want to move forward and 372 00:20:30,480 --> 00:20:33,560 Speaker 2: be different, I really want to tap into a labor 373 00:20:33,600 --> 00:20:36,800 Speaker 2: pool that's going to meet my business needs. Why do 374 00:20:36,840 --> 00:20:40,280 Speaker 2: we have an HBCU program? Make that make sense to me? 375 00:20:40,640 --> 00:20:43,240 Speaker 2: Why is it there? Because it's been there, it's a legacy, 376 00:20:43,320 --> 00:20:45,719 Speaker 2: right or we just created it. Oh, but it's not 377 00:20:45,880 --> 00:20:48,640 Speaker 2: like it's not like our Jorgy tech and UGA program. 378 00:20:48,960 --> 00:20:50,120 Speaker 2: Why is it not like that? 379 00:20:50,760 --> 00:20:50,879 Speaker 3: Right? 380 00:20:50,960 --> 00:20:53,200 Speaker 2: So you have to ask questions because most of these 381 00:20:53,240 --> 00:20:56,840 Speaker 2: people inherited this from the job. They inherited this is 382 00:20:56,880 --> 00:20:59,720 Speaker 2: the way our company does thing, and often they don't 383 00:20:59,720 --> 00:21:03,160 Speaker 2: have the power influence a budget to make those changes. 384 00:21:04,320 --> 00:21:10,040 Speaker 1: Wow, you know you've hidden so many mad buttons with 385 00:21:10,160 --> 00:21:16,720 Speaker 1: me with that presentation, because it's true because I get 386 00:21:16,720 --> 00:21:19,600 Speaker 1: to do these you know, they have these minority supplier portals. 387 00:21:19,960 --> 00:21:22,120 Speaker 1: They want you to fill out the information. Nobody ever 388 00:21:22,160 --> 00:21:24,800 Speaker 1: calls you, Nobody ever contacted. I've never been I'll just 389 00:21:24,840 --> 00:21:27,920 Speaker 1: say nobody's ever contacted with Sean McDonald. And I get 390 00:21:27,920 --> 00:21:33,520 Speaker 1: frustrated because they're saying they're offering opportunities of diversity, but 391 00:21:35,040 --> 00:21:39,680 Speaker 1: how and the examples are so funneled down, so low. 392 00:21:39,760 --> 00:21:43,000 Speaker 1: But you know, the key is this country has changed 393 00:21:44,000 --> 00:21:46,159 Speaker 1: and it's not going to go backwards. It's going to 394 00:21:46,240 --> 00:21:49,359 Speaker 1: only go farther. It's only going to become more more, 395 00:21:49,440 --> 00:21:51,679 Speaker 1: I think, a better country. We just have to accept it. 396 00:21:51,680 --> 00:21:53,879 Speaker 1: But we also have to accept the fact that I 397 00:21:53,880 --> 00:21:58,480 Speaker 1: don't want nobody Brenda hired me because I'm black. I 398 00:21:58,520 --> 00:22:00,840 Speaker 1: want nobody out of my mouth. 399 00:22:01,760 --> 00:22:04,159 Speaker 2: The visit of doctor Martin Luther King was, could you 400 00:22:04,320 --> 00:22:07,679 Speaker 2: please see us for our talent, our character, who we 401 00:22:07,720 --> 00:22:11,960 Speaker 2: are inside we inherit a system that doesn't do that. 402 00:22:12,400 --> 00:22:15,520 Speaker 2: So now we're just saying we don't want to be 403 00:22:15,560 --> 00:22:20,600 Speaker 2: able to compete equally, like remove the roadblocks, remove the 404 00:22:20,640 --> 00:22:25,840 Speaker 2: bias from your system so we can compete equally. I've 405 00:22:25,920 --> 00:22:28,600 Speaker 2: just I've been frustrating in my own career with the 406 00:22:28,680 --> 00:22:33,239 Speaker 2: resistance for people to want to compete evenly. So we 407 00:22:33,280 --> 00:22:35,880 Speaker 2: don't want the job because we're black. And the companies 408 00:22:36,040 --> 00:22:39,880 Speaker 2: who do not abandon these initiatives are going to end 409 00:22:39,960 --> 00:22:43,159 Speaker 2: up more profitable because they're gonna have the best labor 410 00:22:43,240 --> 00:22:46,720 Speaker 2: force with the right skills doing the work. The one 411 00:22:46,800 --> 00:22:50,879 Speaker 2: who want to continue to practice status quo, well this 412 00:22:51,080 --> 00:22:53,520 Speaker 2: is who we hire. We hire only from these schools 413 00:22:53,600 --> 00:22:55,440 Speaker 2: and they have to look like this and speak that way, 414 00:22:55,640 --> 00:22:58,439 Speaker 2: probably going to be out of business because that's not 415 00:22:58,520 --> 00:23:01,320 Speaker 2: the the future of America. I think the chips will 416 00:23:01,320 --> 00:23:03,720 Speaker 2: followd their lot where they lie, and I think as 417 00:23:03,760 --> 00:23:09,000 Speaker 2: a country, we're great enough to start to surface. Let's 418 00:23:09,200 --> 00:23:12,000 Speaker 2: hire the people who can get the job done. Yes, 419 00:23:12,040 --> 00:23:15,480 Speaker 2: relationship matters, network matters. And I'm laughing at you with 420 00:23:15,520 --> 00:23:19,000 Speaker 2: Sean because you're like a supplier, diverse supplier of the year, 421 00:23:19,200 --> 00:23:22,600 Speaker 2: so some kind of way you made that work for you. 422 00:23:22,880 --> 00:23:26,000 Speaker 2: But I also know that you are well connected and 423 00:23:26,080 --> 00:23:29,000 Speaker 2: relationships matter, So we want to be able to get 424 00:23:29,080 --> 00:23:32,760 Speaker 2: this talent with mentors and coaches that can pull them 425 00:23:32,800 --> 00:23:36,760 Speaker 2: into these spaces so that they can compete equally. 426 00:23:37,400 --> 00:23:39,840 Speaker 1: Wow, you're fantastic, Brenda. Brenda, how can we get in 427 00:23:39,920 --> 00:23:43,280 Speaker 1: touch with you? You know what? 428 00:23:43,480 --> 00:23:47,760 Speaker 2: You can visit our website at EPC guy guide dot 429 00:23:47,800 --> 00:23:49,880 Speaker 2: com and I would think the best way to reach 430 00:23:49,920 --> 00:23:52,760 Speaker 2: us on social media is to visit our LinkedIn page, 431 00:23:52,800 --> 00:23:56,080 Speaker 2: which is merely the collaborative Training Company. 432 00:23:57,520 --> 00:24:00,919 Speaker 1: And you are amazing. Now, want to thank thank you, Brenda. 433 00:24:01,119 --> 00:24:03,760 Speaker 1: You know I got to bring you back because our 434 00:24:03,800 --> 00:24:07,320 Speaker 1: conversation became a different conversation the second half, and I 435 00:24:07,359 --> 00:24:09,520 Speaker 1: think that that's a really good thing because people need 436 00:24:09,560 --> 00:24:12,560 Speaker 1: to hear how the industry is and there's a shot, 437 00:24:12,760 --> 00:24:16,240 Speaker 1: but you can win being you and don't let nobody 438 00:24:16,440 --> 00:24:20,000 Speaker 1: under not the media, undermine your opportunities by making you 439 00:24:20,040 --> 00:24:22,359 Speaker 1: feel like you only got a job because you are black, 440 00:24:22,400 --> 00:24:24,280 Speaker 1: you only got a job because you're a woman, You 441 00:24:24,359 --> 00:24:27,040 Speaker 1: only got a job because you are this type of person. 442 00:24:27,640 --> 00:24:30,880 Speaker 1: We have to recognize that our skill set matters. Our 443 00:24:30,920 --> 00:24:34,159 Speaker 1: skill set allows us to compete. If you graduate from HBCU, 444 00:24:34,400 --> 00:24:38,240 Speaker 1: it's no different than graduating from Penn State. Equally talented 445 00:24:38,280 --> 00:24:41,159 Speaker 1: people qualified to do the job because we have the 446 00:24:41,240 --> 00:24:43,720 Speaker 1: right skill set. Thank you for coming on Money Making Conversation. 447 00:24:43,800 --> 00:24:44,480 Speaker 1: I appreciate you. 448 00:24:45,800 --> 00:24:46,480 Speaker 2: Thanks for Sean. 449 00:24:47,040 --> 00:24:49,680 Speaker 1: This has been another edition of Money Making Conversation Master 450 00:24:49,720 --> 00:24:52,520 Speaker 1: Class hosted by Mayor Rashan McDonald. Thank you our guests 451 00:24:52,560 --> 00:24:55,120 Speaker 1: in the show today and thank you our listening audience. 452 00:24:55,280 --> 00:24:55,399 Speaker 3: Now. 453 00:24:55,440 --> 00:24:57,400 Speaker 1: If you want to listen to any episodes or want 454 00:24:57,400 --> 00:25:00,200 Speaker 1: to be a guest on the show, visit money Making Conversation. 455 00:25:00,920 --> 00:25:03,920 Speaker 1: Our social media handle is money Making Conversation. Join us 456 00:25:03,920 --> 00:25:06,480 Speaker 1: next week and remember to always leave with your gifts. 457 00:25:06,640 --> 00:25:09,280 Speaker 1: Keep winning. This has been another edition of Money Making 458 00:25:09,320 --> 00:25:13,280 Speaker 1: Conversation Masterclass hosted by me Rashaun McDonald. Thank you to 459 00:25:13,320 --> 00:25:15,960 Speaker 1: our guests on the show today and thank you our 460 00:25:16,000 --> 00:25:18,080 Speaker 1: listening to audience now. If you want to listen to 461 00:25:18,119 --> 00:25:20,359 Speaker 1: any episode I want to be a guest on the show, 462 00:25:20,680 --> 00:25:25,160 Speaker 1: visit Moneymakingconversations dot com. Our social media handle is money 463 00:25:25,160 --> 00:25:28,439 Speaker 1: Making Conversation. Join us next week and remember to always 464 00:25:28,480 --> 00:25:30,359 Speaker 1: leave with your gifts. Keep winning.