1 00:00:03,440 --> 00:00:06,720 Speaker 1: Welcome to Stuff Mom Never told You. From housetop Works 2 00:00:06,760 --> 00:00:15,040 Speaker 1: dot com. Hello and welcome to the podcast. I'm Kristen 3 00:00:15,240 --> 00:00:19,520 Speaker 1: and I'm Caroline, and today we're talking to two super 4 00:00:19,600 --> 00:00:23,520 Speaker 1: rad ladies, Gina Helfric and Ashley Doyle, who we met 5 00:00:23,840 --> 00:00:27,479 Speaker 1: face to face at south By Southwest Interactive and it 6 00:00:27,560 --> 00:00:30,560 Speaker 1: was kids mitt Oh my god, it was amazing. So 7 00:00:30,720 --> 00:00:37,280 Speaker 1: here's the backstory. Really briefly, Gina emailed us, and uh, 8 00:00:37,280 --> 00:00:40,199 Speaker 1: thank god she did. I'm so excited to talk to them, 9 00:00:40,200 --> 00:00:41,639 Speaker 1: and I was so excited to talk to them at 10 00:00:41,640 --> 00:00:44,400 Speaker 1: south By Southwest. But the thing is, when Kristen and 11 00:00:44,479 --> 00:00:46,960 Speaker 1: I were at south By, like, there's so much going on, 12 00:00:47,040 --> 00:00:49,919 Speaker 1: You're running to a million places. We hosted our own 13 00:00:49,920 --> 00:00:51,479 Speaker 1: live show and panel. There was just a lot of 14 00:00:51,520 --> 00:00:56,520 Speaker 1: stuff going on, and Gina was kind enough, conscientious enough 15 00:00:56,760 --> 00:01:00,360 Speaker 1: and efficient and type a enough to e mailed me 16 00:01:00,400 --> 00:01:03,680 Speaker 1: again to make sure that we got together and I'm 17 00:01:03,880 --> 00:01:07,840 Speaker 1: so happy she did. Yeah. And since we haven't even 18 00:01:08,040 --> 00:01:14,839 Speaker 1: mentioned what this, Gina Ashley Dynamic duo do um. They 19 00:01:14,920 --> 00:01:20,200 Speaker 1: have started a woman owned full service recruiting firm called 20 00:01:20,400 --> 00:01:24,200 Speaker 1: recruit Her, which is committed to connecting tech companies with 21 00:01:24,319 --> 00:01:27,560 Speaker 1: diverse talent, and in our conversation we're going to get 22 00:01:27,600 --> 00:01:31,800 Speaker 1: into all of the reasons why this service is very 23 00:01:31,880 --> 00:01:35,280 Speaker 1: necessary and important not only for company's bottom lines, but 24 00:01:35,400 --> 00:01:39,640 Speaker 1: also for the technology and services that trickled down to 25 00:01:40,040 --> 00:01:43,920 Speaker 1: end users like you and me. Yeah, And in talking 26 00:01:43,920 --> 00:01:46,560 Speaker 1: with them for this interview and when we met them 27 00:01:46,800 --> 00:01:50,600 Speaker 1: a little while back in person, it was so fascinating 28 00:01:50,640 --> 00:01:53,600 Speaker 1: and inspiring to hear they're sort of boots on the 29 00:01:53,600 --> 00:01:58,360 Speaker 1: ground perspective about diversity and tech, both diversity of gender 30 00:01:58,400 --> 00:02:05,800 Speaker 1: and diversity of ethnicity. They're really passionate about improving the 31 00:02:05,880 --> 00:02:11,560 Speaker 1: diversity of teams in tech because honestly, diverse teams outperform 32 00:02:11,680 --> 00:02:15,760 Speaker 1: those who just look like one group. And beyond the 33 00:02:15,760 --> 00:02:20,919 Speaker 1: inspiration of their mission, it's also just inspiring to hear 34 00:02:21,360 --> 00:02:24,920 Speaker 1: their own story of how they found each other and 35 00:02:25,440 --> 00:02:30,320 Speaker 1: what brought them to building this startup which has taken 36 00:02:30,360 --> 00:02:33,160 Speaker 1: off in a really short amount of time. And so 37 00:02:33,200 --> 00:02:36,000 Speaker 1: what we're going to talk about with Gina and Ashley 38 00:02:36,040 --> 00:02:42,080 Speaker 1: today includes, yes, why diversity is important and go beyond 39 00:02:42,280 --> 00:02:48,200 Speaker 1: the buzzwordy, almost tokenism aspects of diversity, right, but also too, 40 00:02:48,320 --> 00:02:53,400 Speaker 1: we're going to drill down into some really personal issues 41 00:02:53,440 --> 00:02:57,480 Speaker 1: when it comes to women and our jobs and our 42 00:02:57,600 --> 00:03:02,400 Speaker 1: paychecks and transitioning in to better jobs where we're treated better. 43 00:03:02,840 --> 00:03:08,040 Speaker 1: And also this issue of salary transparency, which is blowing 44 00:03:08,120 --> 00:03:11,359 Speaker 1: up right now among tech companies. Yeah, I mean, speaking 45 00:03:11,440 --> 00:03:16,200 Speaker 1: of buzzwordy pay transparency is a huge issue right now. 46 00:03:16,639 --> 00:03:19,400 Speaker 1: People in all sorts of industries are talking about it, 47 00:03:19,720 --> 00:03:22,760 Speaker 1: and for the most part, largely it is touted as 48 00:03:22,800 --> 00:03:28,000 Speaker 1: a positive step towards eliminating the gender wage gap, toward 49 00:03:28,320 --> 00:03:32,320 Speaker 1: making sure that people no matter their gender, race, background, whatever, 50 00:03:32,760 --> 00:03:36,440 Speaker 1: are paid equitably for the jobs that they're doing. And 51 00:03:36,480 --> 00:03:40,119 Speaker 1: it's also free advertising in a way. I mean, it's 52 00:03:40,120 --> 00:03:42,920 Speaker 1: not entirely free, because you have to pay probably some 53 00:03:42,960 --> 00:03:45,520 Speaker 1: people more in their day to day jobs, but it's 54 00:03:45,560 --> 00:03:52,240 Speaker 1: free advertising for recruiting and then also retaining solid talent um. 55 00:03:52,440 --> 00:03:56,800 Speaker 1: And you're now seeing more and more companies like Amazon 56 00:03:56,920 --> 00:04:03,680 Speaker 1: and Salesforce and most recently Facebook analyzing gender wage gaps 57 00:04:03,880 --> 00:04:09,640 Speaker 1: within the company and rectifying that. And so it's exciting 58 00:04:09,680 --> 00:04:12,840 Speaker 1: to know that this is something that um, these leading 59 00:04:12,920 --> 00:04:17,280 Speaker 1: tchech companies are taking really seriously. And this is a 60 00:04:17,279 --> 00:04:21,200 Speaker 1: conversation that is spreading because Caroline, I think it's really 61 00:04:21,240 --> 00:04:27,600 Speaker 1: time for us to stop feeling so secretive about our salaries. Yeah, exactly, 62 00:04:27,640 --> 00:04:30,680 Speaker 1: And and that is something that both Ashley and Gina 63 00:04:30,720 --> 00:04:34,680 Speaker 1: are passionate about, and it's something that the conversation is 64 00:04:34,720 --> 00:04:39,000 Speaker 1: only going to get louder as companies of all stripes 65 00:04:39,160 --> 00:04:43,279 Speaker 1: diversify more and more, as more people of different backgrounds 66 00:04:43,279 --> 00:04:46,919 Speaker 1: are brought into companies, salary discrepancies are going to be 67 00:04:46,960 --> 00:04:51,039 Speaker 1: an issue, and pay transparency is a huge way to 68 00:04:51,120 --> 00:04:55,640 Speaker 1: combat that. And it's also an important step in normalizing 69 00:04:55,920 --> 00:04:59,840 Speaker 1: this thing that we've been conditioned to consider impolite of 70 00:05:00,040 --> 00:05:02,920 Speaker 1: talking about what you make, finding out how much your 71 00:05:02,920 --> 00:05:06,320 Speaker 1: co workers make, and comparing notes a little bit, because 72 00:05:06,560 --> 00:05:08,159 Speaker 1: the fact of the matter is when it comes to 73 00:05:08,440 --> 00:05:13,000 Speaker 1: especially women, and even more so women of color, our 74 00:05:13,360 --> 00:05:17,320 Speaker 1: we will never know how much we aren't being paid 75 00:05:17,680 --> 00:05:21,480 Speaker 1: if we don't know how much people around us are making. 76 00:05:22,320 --> 00:05:25,679 Speaker 1: So should we talk now to Gina and Ashley? Yes, 77 00:05:25,839 --> 00:05:32,240 Speaker 1: let's do it. So, Gina and Ashley, before we get 78 00:05:32,320 --> 00:05:35,640 Speaker 1: into the nitty gritty about salary and money talk and 79 00:05:35,680 --> 00:05:39,120 Speaker 1: all that fun and sometimes not so fun stuff, can 80 00:05:39,160 --> 00:05:42,520 Speaker 1: you tell our audience a little bit about what both 81 00:05:42,560 --> 00:05:46,359 Speaker 1: of you do, and also how recruit Her came to 82 00:05:46,440 --> 00:05:51,120 Speaker 1: be and how it works. Yeah, this is Gina. I 83 00:05:51,279 --> 00:05:56,400 Speaker 1: co founded recruit Her with Ashley last August so UM 84 00:05:56,480 --> 00:06:02,760 Speaker 1: late summer. I had, prior to that UM worked in 85 00:06:02,880 --> 00:06:06,960 Speaker 1: a startup in the tech industry here in Austin, and 86 00:06:07,000 --> 00:06:10,680 Speaker 1: before that, I was directing the Women's Center at Harvard 87 00:06:10,839 --> 00:06:15,760 Speaker 1: so UM. I was looking for something new to do professionally, 88 00:06:16,080 --> 00:06:20,440 Speaker 1: as kind of in a career transition, and I felt like, 89 00:06:20,640 --> 00:06:22,599 Speaker 1: you know, what I really want to do is to 90 00:06:22,680 --> 00:06:25,760 Speaker 1: combine these passions of fine and to draw on my 91 00:06:25,800 --> 00:06:30,440 Speaker 1: background in gender and women's studies and diversity and inclusion 92 00:06:30,600 --> 00:06:35,080 Speaker 1: work UM from within Higher Ed and bring that expertise 93 00:06:35,160 --> 00:06:38,000 Speaker 1: to the tech industry, which is having a lot of 94 00:06:38,200 --> 00:06:42,799 Speaker 1: challenges and great opportunities around UM diversity and inclusion issues. 95 00:06:43,400 --> 00:06:47,440 Speaker 1: So I was looking at that mostly from a consulting perspective, 96 00:06:47,920 --> 00:06:50,280 Speaker 1: and I had lots and lots of people asked me 97 00:06:50,320 --> 00:06:53,679 Speaker 1: if I was also going to provide candidates for companies 98 00:06:53,720 --> 00:06:56,040 Speaker 1: that I would consult for, and I was like, well, 99 00:06:56,080 --> 00:06:57,720 Speaker 1: I don't know anything about that, so I should probably 100 00:06:57,760 --> 00:07:01,880 Speaker 1: find someone who does. And that was how I meant. Actually, Yeah, 101 00:07:02,160 --> 00:07:05,240 Speaker 1: it was really a great timing. I feel like I'm 102 00:07:05,279 --> 00:07:09,280 Speaker 1: really lucky that I saw Gina's post when I did, so, Um. 103 00:07:09,320 --> 00:07:12,520 Speaker 1: We're both based here in Austin. This is actually Doyle 104 00:07:12,560 --> 00:07:15,040 Speaker 1: by the way, so I'm obviously the other co founder 105 00:07:15,080 --> 00:07:19,200 Speaker 1: of recruiter Um. We're both based here in Austin. We 106 00:07:19,280 --> 00:07:22,920 Speaker 1: didn't know each other, but there's this really wonderful Facebook 107 00:07:22,960 --> 00:07:26,320 Speaker 1: group called Austin Digital Jobs. It has, like, you know, 108 00:07:26,680 --> 00:07:29,880 Speaker 1: close to twenty people in it now, and Gina was 109 00:07:30,000 --> 00:07:33,360 Speaker 1: one of those twenty thousand people who posted, Hey, I'd 110 00:07:33,400 --> 00:07:36,720 Speaker 1: like to talk to a recruiter about UM, like how 111 00:07:36,800 --> 00:07:40,360 Speaker 1: you consider getting more diverse applicants into the pool if 112 00:07:40,400 --> 00:07:42,520 Speaker 1: you have thirty minutes or something to talk with me? 113 00:07:42,960 --> 00:07:46,960 Speaker 1: And I was the only person who answer. So UM, 114 00:07:47,040 --> 00:07:51,240 Speaker 1: that's how we met and really uh hit it off 115 00:07:51,280 --> 00:07:53,760 Speaker 1: on that first call, although maybe we can talk later 116 00:07:53,800 --> 00:07:59,239 Speaker 1: about how awkward it was around the topic of salary negotiations. Yes, um, 117 00:07:59,280 --> 00:08:04,520 Speaker 1: fighting for your worth UM. In any case, my background 118 00:08:05,200 --> 00:08:11,440 Speaker 1: before launching recruit Her was primarily in technical recruitment UM 119 00:08:11,480 --> 00:08:15,320 Speaker 1: in larger corporations. So I've been working in tech for 120 00:08:15,360 --> 00:08:19,040 Speaker 1: about eight years doing technical recruiting and sourcing and have 121 00:08:19,120 --> 00:08:22,280 Speaker 1: also been an a drama manager for those same companies 122 00:08:22,680 --> 00:08:25,680 Speaker 1: and so, UM, really the bulk of my work has 123 00:08:25,720 --> 00:08:33,720 Speaker 1: always been focused around recruiting, retention, compensation, and benefits. And yeah, 124 00:08:33,880 --> 00:08:37,240 Speaker 1: I I we launched recruit Her in August of last 125 00:08:37,320 --> 00:08:41,719 Speaker 1: year and uh here we are now built this thing. 126 00:08:41,760 --> 00:08:44,800 Speaker 1: It's very exciting. Yeah. So what we can tell you 127 00:08:44,840 --> 00:08:49,400 Speaker 1: about what Recruiter does is where a diversity recruitment firm 128 00:08:49,559 --> 00:08:53,000 Speaker 1: or focused on the tech industry. What that means is 129 00:08:53,400 --> 00:08:57,439 Speaker 1: we provide a more diverse set of candidates to our 130 00:08:57,520 --> 00:09:00,680 Speaker 1: client companies for their open roles that they're typically going 131 00:09:00,720 --> 00:09:05,320 Speaker 1: to get if they work with a traditional recruiting agency. UM. 132 00:09:05,440 --> 00:09:09,640 Speaker 1: We also are committed to only working for client companies 133 00:09:09,720 --> 00:09:13,679 Speaker 1: who we believe are providing an inclusive environment for our candidates. 134 00:09:14,120 --> 00:09:16,480 Speaker 1: So we pre screen all of the companies that we 135 00:09:16,559 --> 00:09:19,679 Speaker 1: ultimately decide to recruit for to see what life is like. 136 00:09:19,840 --> 00:09:23,040 Speaker 1: Do they have a salary transparency at their company? UM, 137 00:09:23,080 --> 00:09:25,680 Speaker 1: and make sure it's a place that we feel comfortable 138 00:09:25,679 --> 00:09:28,760 Speaker 1: sending someone where they can grow and thrive UM and 139 00:09:28,800 --> 00:09:30,880 Speaker 1: make sure that they don't just have an experience where 140 00:09:30,880 --> 00:09:33,800 Speaker 1: they get spit right back out. So we're really hyper 141 00:09:33,800 --> 00:09:37,560 Speaker 1: conscious about the ecosystem of issues that are contributing to 142 00:09:37,600 --> 00:09:39,839 Speaker 1: the current lack of diversity in tech and trying to 143 00:09:39,920 --> 00:09:42,440 Speaker 1: make sure that we conduct our business in a way 144 00:09:42,480 --> 00:09:45,280 Speaker 1: that is long term going to continue to help fix 145 00:09:45,320 --> 00:09:48,640 Speaker 1: the problem. Well, I mean, that's an amazing effort and 146 00:09:48,679 --> 00:09:50,560 Speaker 1: an amazing goal. But what do you say to those 147 00:09:50,600 --> 00:09:54,480 Speaker 1: people out there who just claim that efforts like this 148 00:09:54,679 --> 00:09:58,120 Speaker 1: around diversity are just tokenism and we don't really need 149 00:09:58,160 --> 00:10:00,040 Speaker 1: to do this. We're just hiring the best people for 150 00:10:00,160 --> 00:10:06,560 Speaker 1: the job, whoever that is. Uh. Man, you know, we 151 00:10:06,600 --> 00:10:09,120 Speaker 1: would be super duper rich at this point if we 152 00:10:09,240 --> 00:10:12,080 Speaker 1: got a dollar every time someone said that legitimate to 153 00:10:12,200 --> 00:10:17,160 Speaker 1: us on the phone. So I hear it, right, Like 154 00:10:17,200 --> 00:10:21,559 Speaker 1: I get the eyebrow raise. Uh And the skepticism, especially 155 00:10:21,800 --> 00:10:26,559 Speaker 1: this year, which it's like pro con right, finally, finally, 156 00:10:27,240 --> 00:10:32,560 Speaker 1: uh wage inequity diversity in tech, or the lack thereof 157 00:10:33,480 --> 00:10:35,760 Speaker 1: is a part of the national conversation, and that's something 158 00:10:35,800 --> 00:10:39,600 Speaker 1: that we are super excited about because it's not a 159 00:10:39,600 --> 00:10:43,160 Speaker 1: new problem, certainly. Um, it's just finally one that like 160 00:10:43,240 --> 00:10:45,600 Speaker 1: you know, you can talk to someone at Starbucks about 161 00:10:45,679 --> 00:10:48,440 Speaker 1: because people now know this is a thing that happens 162 00:10:48,480 --> 00:10:52,320 Speaker 1: and that lots of people are working to try to 163 00:10:52,400 --> 00:10:55,559 Speaker 1: figure out how to address UM. The con to that is, like, 164 00:10:56,080 --> 00:10:58,720 Speaker 1: sometimes you get the eye roll right, Like great diversity 165 00:10:59,160 --> 00:11:01,200 Speaker 1: taught me something I don't know, Like I just hire 166 00:11:01,240 --> 00:11:03,200 Speaker 1: the best person for the job. I don't care what 167 00:11:03,240 --> 00:11:06,319 Speaker 1: you look like. I just want to see your resume. Unfortunately, 168 00:11:06,440 --> 00:11:12,640 Speaker 1: that sort of sentiment doesn't work in the actual real world. UM. 169 00:11:12,679 --> 00:11:16,040 Speaker 1: And we know because of you know, years and years 170 00:11:16,040 --> 00:11:19,840 Speaker 1: and years of research and practical experience, that we're not 171 00:11:20,000 --> 00:11:23,400 Speaker 1: able to look at a resume or sit in an 172 00:11:23,440 --> 00:11:28,480 Speaker 1: interview room with a candidate and make completely unbiased judgments 173 00:11:28,480 --> 00:11:30,880 Speaker 1: about that person. That's just not the way our brains work. 174 00:11:31,360 --> 00:11:34,960 Speaker 1: So UM real believe there are tons and tons of 175 00:11:35,040 --> 00:11:38,200 Speaker 1: strategies that you can employ as an employer, as a 176 00:11:38,200 --> 00:11:42,800 Speaker 1: person who's interviewing another person for your company. UM, even 177 00:11:42,840 --> 00:11:47,080 Speaker 1: if you are just the first person reviewing resumes for UM, 178 00:11:47,120 --> 00:11:50,240 Speaker 1: you know, new applicants rolling in, there are lots of 179 00:11:50,240 --> 00:11:52,400 Speaker 1: ways that you can sort of mitigate that bias that 180 00:11:52,480 --> 00:11:55,319 Speaker 1: naturally exists for all of us as humans and make 181 00:11:55,360 --> 00:11:58,400 Speaker 1: sure that you're hiring processes are set up to really 182 00:11:58,480 --> 00:12:01,400 Speaker 1: truly hire the best person for the job. And frankly, 183 00:12:01,800 --> 00:12:05,120 Speaker 1: if you only rely on the same, like hiring practices 184 00:12:05,200 --> 00:12:09,000 Speaker 1: you've always used forever, and you have a homogeneous team already, 185 00:12:09,440 --> 00:12:13,440 Speaker 1: you cannot expect that the applicant pool you're driving in 186 00:12:13,640 --> 00:12:16,640 Speaker 1: without trying is going to change. Like if your existing 187 00:12:16,679 --> 00:12:19,720 Speaker 1: team as homogeneous and you rely on employee referrals to 188 00:12:19,760 --> 00:12:23,440 Speaker 1: get new candidates coming in and you don't ever like 189 00:12:23,559 --> 00:12:26,800 Speaker 1: actively engage with communities outside of the ones you're part of, 190 00:12:27,160 --> 00:12:29,200 Speaker 1: you're pretty much always going to be hiring the same 191 00:12:29,240 --> 00:12:31,240 Speaker 1: people and thinking that those are the best people for 192 00:12:31,320 --> 00:12:33,960 Speaker 1: the job because you haven't looked beyond your You know, 193 00:12:34,400 --> 00:12:37,360 Speaker 1: you're the limited bubble, which is sometimes a really nice bubble, 194 00:12:37,400 --> 00:12:40,760 Speaker 1: But there's a lot of talent outside of that, outside 195 00:12:40,760 --> 00:12:44,120 Speaker 1: of that realm. So one thing I've also been noticing 196 00:12:44,160 --> 00:12:49,040 Speaker 1: in terms of diversity issues within tech is a we've 197 00:12:49,040 --> 00:12:52,920 Speaker 1: started talking beyond just gender gaps but also looking at 198 00:12:53,120 --> 00:12:55,720 Speaker 1: um ethnicity to which I think is a really great 199 00:12:56,240 --> 00:12:58,800 Speaker 1: step forward. But on the flip side of that too, 200 00:12:58,840 --> 00:13:01,680 Speaker 1: I think that we are or I don't know, maybe 201 00:13:01,679 --> 00:13:03,480 Speaker 1: I'm just in like my own Twitter bubble, but we're 202 00:13:03,480 --> 00:13:07,720 Speaker 1: seeing not only identification of the problem, but also why 203 00:13:08,400 --> 00:13:11,320 Speaker 1: diversity is a solution. In text, I was wondering if 204 00:13:11,360 --> 00:13:14,680 Speaker 1: you could just kind of quickly talk about why this 205 00:13:14,800 --> 00:13:20,520 Speaker 1: is a benefit for the bottom line. Yeah. Absolutely. Um, Well, 206 00:13:20,520 --> 00:13:23,320 Speaker 1: there are lots and lots of research out there making 207 00:13:23,640 --> 00:13:27,280 Speaker 1: effectively the business case for diversity. Um. But there's a 208 00:13:27,360 --> 00:13:30,720 Speaker 1: couple of examples that we talked about a lot. So. UM. 209 00:13:30,760 --> 00:13:35,280 Speaker 1: If you'll remember when Apple rolled out one of their 210 00:13:35,280 --> 00:13:39,959 Speaker 1: more recent iOS updates that included the Apple Health app. Um, 211 00:13:40,000 --> 00:13:43,800 Speaker 1: that app was native on your phone. If you had 212 00:13:43,840 --> 00:13:46,880 Speaker 1: an Apple phone, you had the app, and you could 213 00:13:47,000 --> 00:13:51,200 Speaker 1: use this to track your sleep, um, how much you 214 00:13:51,240 --> 00:13:56,240 Speaker 1: weigh your sodium intake, any medicines that you might have. 215 00:13:56,600 --> 00:13:59,400 Speaker 1: You could track pretty much any little detail that you 216 00:13:59,400 --> 00:14:02,520 Speaker 1: could dream up having to do with your body and biology. 217 00:14:02,600 --> 00:14:06,280 Speaker 1: But you couldn't track your period, which is something that 218 00:14:06,320 --> 00:14:09,079 Speaker 1: women you would know like, oh great a health app, 219 00:14:09,160 --> 00:14:11,320 Speaker 1: like I would love to use this. What's the most 220 00:14:11,360 --> 00:14:14,160 Speaker 1: fundamental thing I might want to track here? Right? And 221 00:14:14,200 --> 00:14:18,280 Speaker 1: it was not even a capabilities So having a diverse 222 00:14:18,480 --> 00:14:22,680 Speaker 1: team developing your products in tech is really important simply 223 00:14:22,720 --> 00:14:26,480 Speaker 1: for connecting with your customer base. Right. That's fifty of 224 00:14:26,520 --> 00:14:30,360 Speaker 1: their customer base that they just completely let down through 225 00:14:30,360 --> 00:14:33,840 Speaker 1: that feature. Um. So since then they have made the 226 00:14:33,920 --> 00:14:37,880 Speaker 1: update you can now track your period and Apple Health um. 227 00:14:38,040 --> 00:14:40,640 Speaker 1: And there's lots of other apps that also came out 228 00:14:41,440 --> 00:14:43,680 Speaker 1: to help women you know, keep track of their fertility 229 00:14:43,720 --> 00:14:46,680 Speaker 1: as well. So it's a huge market. UM. I think 230 00:14:46,720 --> 00:14:51,440 Speaker 1: the notion that there are heterogeneous customers and markets out 231 00:14:51,480 --> 00:14:55,080 Speaker 1: there that you can't tap unless you have a team 232 00:14:55,160 --> 00:14:59,440 Speaker 1: that reflects those experiences and perspectives is really strong, right 233 00:14:59,480 --> 00:15:02,520 Speaker 1: relates to the bottom line. Um. There's a new company 234 00:15:02,560 --> 00:15:07,320 Speaker 1: out there right now called Bevil that is just crushing it. Um. 235 00:15:07,360 --> 00:15:12,840 Speaker 1: They have basically like shaving products for curly haired men 236 00:15:13,480 --> 00:15:16,600 Speaker 1: that don't tear up their face when they're actually shaving 237 00:15:16,600 --> 00:15:20,160 Speaker 1: because it's designed for that particular hair type, and they're 238 00:15:20,200 --> 00:15:23,040 Speaker 1: in target now. They're making so much money, and it's 239 00:15:23,080 --> 00:15:26,640 Speaker 1: just because nobody actually decided to pay attention to the 240 00:15:26,680 --> 00:15:31,760 Speaker 1: particular needs of this market before. So really, you know, diversity, 241 00:15:31,920 --> 00:15:35,120 Speaker 1: having a diverse team, I think plenty of us out 242 00:15:35,160 --> 00:15:36,760 Speaker 1: there just think it's the right thing to do. Right. 243 00:15:36,920 --> 00:15:41,320 Speaker 1: Really uncomfortable with a very homogeneous looking tech industry, given 244 00:15:41,400 --> 00:15:45,640 Speaker 1: how tech is increasingly, you know, creeping into every aspect 245 00:15:45,720 --> 00:15:48,400 Speaker 1: of our lives, and soon every industry will be the 246 00:15:48,440 --> 00:15:53,080 Speaker 1: tech industry. Um. Also it's relevant for where people want 247 00:15:53,080 --> 00:15:58,080 Speaker 1: to work. Diverse teams tend to have longer retention of employees, 248 00:15:58,120 --> 00:16:01,160 Speaker 1: people are happier working on diverse team is really and 249 00:16:01,200 --> 00:16:05,080 Speaker 1: then the bottom line, right, like, when you have teams 250 00:16:05,120 --> 00:16:08,360 Speaker 1: that reflect your customer base, you're better able to connect 251 00:16:08,400 --> 00:16:11,360 Speaker 1: with their needs. You're better able to build products that 252 00:16:11,400 --> 00:16:15,960 Speaker 1: can really serve many many people's once in needs. So 253 00:16:16,480 --> 00:16:20,800 Speaker 1: so once we have that diversity piece in place, then 254 00:16:20,840 --> 00:16:26,320 Speaker 1: there's the question of, you know, salary equity. Because there 255 00:16:26,360 --> 00:16:29,880 Speaker 1: was recently research that came out and I don't remember 256 00:16:29,920 --> 00:16:33,560 Speaker 1: the exact source, but it found that in traditionally male 257 00:16:33,640 --> 00:16:39,880 Speaker 1: dominated fields, like say a tech company, when women come 258 00:16:39,920 --> 00:16:43,960 Speaker 1: into those jobs and uh it transitions from being male 259 00:16:44,000 --> 00:16:48,880 Speaker 1: dominated to more female dominated, the overall income drops, the 260 00:16:48,960 --> 00:16:53,560 Speaker 1: overall you know, compensation drops. So yeah, this was a 261 00:16:53,600 --> 00:16:57,280 Speaker 1: New York Times article. Yeah, so let's talk about that, 262 00:16:57,320 --> 00:16:59,840 Speaker 1: and how how do you you know, kind of like 263 00:17:00,200 --> 00:17:02,680 Speaker 1: that bridge like get people in the door, but also 264 00:17:03,640 --> 00:17:09,960 Speaker 1: maintain pay equity. We will say, obviously, for us, we 265 00:17:10,040 --> 00:17:14,080 Speaker 1: think salite transparency is a critical way to make sure 266 00:17:14,080 --> 00:17:17,280 Speaker 1: that doesn't happen, right, because that way, no matter what 267 00:17:17,359 --> 00:17:21,160 Speaker 1: the circumstances are around the demographic makeup of your team, 268 00:17:21,359 --> 00:17:25,679 Speaker 1: how large your team is, how your team changes over time. 269 00:17:26,200 --> 00:17:29,840 Speaker 1: If you have committed to having more transparency around the 270 00:17:29,840 --> 00:17:33,119 Speaker 1: way you compensate your employees and how that compensation changes 271 00:17:33,119 --> 00:17:38,160 Speaker 1: over time, you can make sure that that doesn't happen. Right. Um, 272 00:17:38,200 --> 00:17:42,760 Speaker 1: there's this resistance for sure, I think from employers to 273 00:17:42,960 --> 00:17:46,359 Speaker 1: dig into this stuff. Well, we know, for example that 274 00:17:47,160 --> 00:17:49,640 Speaker 1: Google and Apple used to have this kind of secret 275 00:17:50,000 --> 00:17:54,000 Speaker 1: you know, non compete or they wouldn't poach one another's employees, 276 00:17:54,000 --> 00:17:56,120 Speaker 1: and partly that was to keep costs down right, So, 277 00:17:56,280 --> 00:17:59,960 Speaker 1: in a sense, there can be an antagonistic relationship between 278 00:18:00,040 --> 00:18:05,320 Speaker 1: companies and their employees because companies know the premium, particularly 279 00:18:05,359 --> 00:18:09,000 Speaker 1: on tech talent, which is our field, and so if 280 00:18:09,080 --> 00:18:13,119 Speaker 1: those employees learn their actual worth, companies are gonna have 281 00:18:13,160 --> 00:18:15,399 Speaker 1: to pay more. Well, I guess how does that apply? 282 00:18:16,320 --> 00:18:18,640 Speaker 1: Do you think in a more general sense beyond just 283 00:18:18,800 --> 00:18:21,520 Speaker 1: Google not wanting to have an adversarial relationship, how do 284 00:18:21,560 --> 00:18:25,800 Speaker 1: you think that applies more to the gender aspect, especially 285 00:18:25,840 --> 00:18:29,800 Speaker 1: when it comes to whether it's like official policy in 286 00:18:29,800 --> 00:18:33,720 Speaker 1: the company or just unofficial etiquette about not speaking about 287 00:18:33,760 --> 00:18:38,400 Speaker 1: your salary. Sure, I think some of this plays into 288 00:18:38,440 --> 00:18:41,960 Speaker 1: the idea that, uh, you know, when are supposed to 289 00:18:42,000 --> 00:18:44,960 Speaker 1: be polite, right, we're taught early on that you don't 290 00:18:45,200 --> 00:18:47,080 Speaker 1: you don't want to enter into conversations that are going 291 00:18:47,119 --> 00:18:50,359 Speaker 1: to make other people uncomfortable. You know, there's the whole like, 292 00:18:50,480 --> 00:18:53,399 Speaker 1: don't talk about religion or politics at the dinner table. 293 00:18:53,600 --> 00:18:56,280 Speaker 1: Salary is part of that, right, it's sort of ingrained 294 00:18:56,280 --> 00:18:58,680 Speaker 1: in us that this is not something that you should 295 00:18:58,680 --> 00:19:01,920 Speaker 1: be talking about with your peers or with your co workers. 296 00:19:02,080 --> 00:19:06,160 Speaker 1: And frankly, you see lots of examples of companies going 297 00:19:06,160 --> 00:19:09,520 Speaker 1: so far as to say you cannot talk about it. 298 00:19:09,880 --> 00:19:13,040 Speaker 1: Um whether or not that's legal, it's a whole different 299 00:19:13,080 --> 00:19:16,840 Speaker 1: ball game. Frankly, in most cases that's not something they 300 00:19:16,880 --> 00:19:19,800 Speaker 1: can enforce, and it's certainly not something that they're supposed 301 00:19:19,800 --> 00:19:22,600 Speaker 1: to tell you. But if you pull a thousand people 302 00:19:22,680 --> 00:19:25,520 Speaker 1: about what their onboarding experience was like in a new job, 303 00:19:26,280 --> 00:19:28,440 Speaker 1: a good portion of those will tell you that hr 304 00:19:28,840 --> 00:19:31,800 Speaker 1: you know, reinforce with them at some point not to 305 00:19:31,880 --> 00:19:34,960 Speaker 1: share details about their offer or not to talk about 306 00:19:35,040 --> 00:19:41,240 Speaker 1: salary with their peers. Definitely, that is the overwhelming sentiment, 307 00:19:41,320 --> 00:19:43,320 Speaker 1: right when you talk to people about conversation. It's not 308 00:19:43,440 --> 00:19:48,040 Speaker 1: something that like we're sharing over the over a coffee together, 309 00:19:48,160 --> 00:19:50,080 Speaker 1: or that we're like hanging out at the park with 310 00:19:50,119 --> 00:19:52,520 Speaker 1: our kids and talking about how much we made last week. 311 00:19:52,680 --> 00:19:55,679 Speaker 1: It's just not a conversation that's comfortable for a lot 312 00:19:55,720 --> 00:20:00,800 Speaker 1: of people, and unfortunately for underrepresented groups UM women included, 313 00:20:01,480 --> 00:20:04,879 Speaker 1: we really suffer more because we don't have access to 314 00:20:04,960 --> 00:20:08,040 Speaker 1: that data and because we are not comfortable talking about 315 00:20:08,040 --> 00:20:12,240 Speaker 1: it as a as a whole. Um. Part of why 316 00:20:13,119 --> 00:20:16,280 Speaker 1: I do this workout recruiter, and frankly, part of why 317 00:20:16,400 --> 00:20:20,280 Speaker 1: my initial meeting with Gina was really awkward is that 318 00:20:20,840 --> 00:20:23,800 Speaker 1: this happened to me. And you know, I'm someone who 319 00:20:24,520 --> 00:20:27,680 Speaker 1: who comes from an HR and recruiting background. You would 320 00:20:27,680 --> 00:20:31,320 Speaker 1: think of all women, uh, you know, doing this kind 321 00:20:31,320 --> 00:20:33,880 Speaker 1: of work, that I would have better access to the information, 322 00:20:34,000 --> 00:20:36,639 Speaker 1: that I would know a lot about my market worth, 323 00:20:36,680 --> 00:20:38,840 Speaker 1: and that I would never find myself in a situation 324 00:20:38,880 --> 00:20:42,080 Speaker 1: where I was vastly underpaid. But that's totally what happened 325 00:20:42,119 --> 00:20:47,280 Speaker 1: to me, and it was such a such a strange experience, 326 00:20:47,280 --> 00:20:50,159 Speaker 1: and it made me so angry that it really pushed 327 00:20:50,160 --> 00:20:52,680 Speaker 1: me to start talking about this more with my peers, 328 00:20:52,720 --> 00:20:55,600 Speaker 1: with women I knew with my family um and I 329 00:20:55,680 --> 00:20:59,080 Speaker 1: found that over time, no matter how many times I 330 00:20:59,160 --> 00:21:01,919 Speaker 1: have this kind of station with other women, that the 331 00:21:02,040 --> 00:21:06,320 Speaker 1: overwhelming responses the same people are just really resistant to 332 00:21:06,960 --> 00:21:09,159 Speaker 1: talk about salary. They feel like they're going to be 333 00:21:09,200 --> 00:21:11,760 Speaker 1: punished if they do, they feel like it's rude, the 334 00:21:11,800 --> 00:21:14,479 Speaker 1: conversations uncomfortable, and so we sort of avoid it. And 335 00:21:14,520 --> 00:21:18,439 Speaker 1: I think that's a big part of why often we 336 00:21:18,480 --> 00:21:22,200 Speaker 1: go for five or ten or twenty years vastly underpaid, 337 00:21:22,600 --> 00:21:26,920 Speaker 1: because there's not a single centralized location to just see 338 00:21:26,960 --> 00:21:29,399 Speaker 1: the comp of your peers right in most cases, unless 339 00:21:29,400 --> 00:21:32,560 Speaker 1: you're working for the government or a really awesome company 340 00:21:32,560 --> 00:21:34,880 Speaker 1: that has salary transparency, and more and more of those 341 00:21:34,920 --> 00:21:38,080 Speaker 1: are doing that. Um Buffer is a great example. You 342 00:21:38,080 --> 00:21:41,640 Speaker 1: can go to the Buffer website right now and look 343 00:21:41,640 --> 00:21:44,800 Speaker 1: at their salary calculator and plug in what kind of 344 00:21:44,880 --> 00:21:46,679 Speaker 1: job you want to do and where you live, and 345 00:21:46,680 --> 00:21:48,520 Speaker 1: they can give you an estimate on what you would 346 00:21:48,560 --> 00:21:53,000 Speaker 1: make their All of their employees salaries are publicly available. 347 00:21:53,320 --> 00:21:56,719 Speaker 1: Um At Recruiter remade that commitment that when we started 348 00:21:56,760 --> 00:21:59,520 Speaker 1: to hire employees that we would be transparent about our 349 00:21:59,560 --> 00:22:02,800 Speaker 1: salary and about their salaries. And that's part of the deal. 350 00:22:02,840 --> 00:22:04,560 Speaker 1: If you join us, you have to be comfortable with 351 00:22:04,600 --> 00:22:08,200 Speaker 1: other people knowing how much you make. UM, so part 352 00:22:08,240 --> 00:22:10,840 Speaker 1: of you know, diversity and tech being uh, you know, 353 00:22:10,880 --> 00:22:15,800 Speaker 1: a national conversation is great because within this movement you've 354 00:22:15,800 --> 00:22:18,880 Speaker 1: also seen this really great leadership by moment of color 355 00:22:18,920 --> 00:22:23,040 Speaker 1: and tech who've pushed toward greater salary transparency. Probably the 356 00:22:23,080 --> 00:22:26,480 Speaker 1: most common or the most well known example is from 357 00:22:26,480 --> 00:22:29,560 Speaker 1: a couple of years ago when Erica Baker, who was 358 00:22:29,960 --> 00:22:33,920 Speaker 1: at Google uh you know, started pushing on this, realized 359 00:22:33,920 --> 00:22:36,720 Speaker 1: there wasn't a lot of information about the salaries of 360 00:22:36,760 --> 00:22:41,080 Speaker 1: her peers, and started a spreadsheet that was being passed around. 361 00:22:41,119 --> 00:22:47,040 Speaker 1: People were anonymously entering their compensation. Google got wind of this. 362 00:22:47,320 --> 00:22:51,720 Speaker 1: Obviously they were very pissed, UM, and ultimately she left 363 00:22:51,760 --> 00:22:56,360 Speaker 1: people is now at slack right UM and UH, which 364 00:22:56,440 --> 00:22:58,600 Speaker 1: is a company we really love and I feel like 365 00:22:58,600 --> 00:23:01,000 Speaker 1: it's doing a lot of great work around UM some 366 00:23:01,080 --> 00:23:03,879 Speaker 1: of these issues. But in any case, uh, it was 367 00:23:03,920 --> 00:23:06,760 Speaker 1: a very public punishment, right, Like, you got to kind 368 00:23:06,800 --> 00:23:11,800 Speaker 1: of watch that play out. But thankfully she was brave 369 00:23:11,920 --> 00:23:15,440 Speaker 1: enough to start that conversation and start sharing that document 370 00:23:15,480 --> 00:23:21,440 Speaker 1: because it really helped reinforce uh, this conversation around salary 371 00:23:21,520 --> 00:23:24,520 Speaker 1: gaps why certain people were paid more or less than 372 00:23:24,560 --> 00:23:30,520 Speaker 1: their peers. It pushed other people to start similar salary trains. Um, 373 00:23:30,560 --> 00:23:32,920 Speaker 1: my little lady. One that's been passed around for a 374 00:23:32,960 --> 00:23:37,159 Speaker 1: couple of months is specifically around HR and recruiting data. 375 00:23:37,720 --> 00:23:42,880 Speaker 1: I've been trying so hard to get more anonymous information 376 00:23:43,040 --> 00:23:46,280 Speaker 1: on the way recruiters and HR managers are paid and 377 00:23:46,320 --> 00:23:50,280 Speaker 1: people opts professionals, because again, you would think that someone 378 00:23:50,480 --> 00:23:54,680 Speaker 1: embedded in this work, like you know, creating compensation and plans, 379 00:23:55,080 --> 00:23:57,919 Speaker 1: having access to salary information about all the employees and 380 00:23:57,920 --> 00:24:00,800 Speaker 1: a company, would know more about their own But even 381 00:24:00,880 --> 00:24:04,760 Speaker 1: you know, within our very insular part of tech, um, 382 00:24:04,800 --> 00:24:09,840 Speaker 1: there's still that, uh, that idea that you shouldn't be 383 00:24:09,880 --> 00:24:12,639 Speaker 1: talking about this stuff, right like that somehow this is 384 00:24:12,720 --> 00:24:14,920 Speaker 1: bad that you're asking, or you should just be happy 385 00:24:14,960 --> 00:24:17,840 Speaker 1: you have a job, or just trust us that we're 386 00:24:17,840 --> 00:24:20,640 Speaker 1: going to treat you fairly. We've seen frankly that that 387 00:24:20,840 --> 00:24:24,040 Speaker 1: does not work. It's not a great method to protect yourself. 388 00:24:24,440 --> 00:24:27,720 Speaker 1: And you know, it's really sort of a sad irony 389 00:24:27,880 --> 00:24:32,560 Speaker 1: that women in particular end up sharing information about their 390 00:24:32,600 --> 00:24:36,119 Speaker 1: salary with the people that it's least helpful to share 391 00:24:36,160 --> 00:24:38,879 Speaker 1: it with, which is going to be a recruiter or 392 00:24:38,920 --> 00:24:43,080 Speaker 1: a hiring manager prior to receiving a job offer. So 393 00:24:43,280 --> 00:24:46,200 Speaker 1: that actually, because of the gender wage gap, ends up 394 00:24:46,240 --> 00:24:49,520 Speaker 1: harming women because it sets in the mind of the 395 00:24:49,560 --> 00:24:53,479 Speaker 1: potential employer a ballpark for what they're going to pay you. 396 00:24:53,560 --> 00:24:56,800 Speaker 1: But if you've been historically underpaid, then you're not going 397 00:24:56,840 --> 00:24:59,960 Speaker 1: to be receiving a salary that you're actually worth because 398 00:25:00,119 --> 00:25:04,240 Speaker 1: you've revealed what that past pay history was before saying well, 399 00:25:04,280 --> 00:25:06,879 Speaker 1: what do you think that I'm worth doing this job? 400 00:25:07,400 --> 00:25:11,040 Speaker 1: So it's so frustrating and sad to me because we really, 401 00:25:11,440 --> 00:25:14,000 Speaker 1: you know, deserve it and owe to one another to 402 00:25:14,040 --> 00:25:17,680 Speaker 1: share what our salaries are and to advocate with one 403 00:25:17,680 --> 00:25:21,200 Speaker 1: another around these issues. But instead we seem to only 404 00:25:21,240 --> 00:25:23,520 Speaker 1: be saying it to the people who actually don't have 405 00:25:23,560 --> 00:25:26,440 Speaker 1: our best interest in mind. I was just gonna say 406 00:25:26,440 --> 00:25:31,400 Speaker 1: to you know, often HR managers, corporate recruiters, most big 407 00:25:31,440 --> 00:25:35,120 Speaker 1: companies will already have policies in place around how much 408 00:25:35,480 --> 00:25:39,480 Speaker 1: you know, based on percentage of a person's current salary 409 00:25:39,520 --> 00:25:43,200 Speaker 1: they can boost for this new offer. Right, So again, 410 00:25:43,400 --> 00:25:47,000 Speaker 1: if you share this information about your current comp with 411 00:25:47,480 --> 00:25:50,080 Speaker 1: a company that you'd really like to work for, and 412 00:25:50,119 --> 00:25:52,480 Speaker 1: you've been historically underpaid, whether you know it or you 413 00:25:52,520 --> 00:25:55,639 Speaker 1: don't know it, you're already setting yourself up to stay 414 00:25:55,720 --> 00:25:58,800 Speaker 1: underpaid if their rule is that they only do you 415 00:25:58,840 --> 00:26:01,240 Speaker 1: know a ten and reached from your current camp for 416 00:26:01,280 --> 00:26:06,160 Speaker 1: this offer. And I see all the time corporate HR 417 00:26:06,720 --> 00:26:10,879 Speaker 1: corporate recruiting professionals, you know, coming back to candidates with 418 00:26:10,960 --> 00:26:13,879 Speaker 1: this answer like, Hey, you know, we're not trying to 419 00:26:13,920 --> 00:26:16,960 Speaker 1: treat you unfairly, but these are the rules. I would 420 00:26:17,040 --> 00:26:20,439 Speaker 1: just strongly reject that. It's one of the things that 421 00:26:20,520 --> 00:26:24,520 Speaker 1: we teach candidates and coach candidates on often, like how 422 00:26:24,560 --> 00:26:28,680 Speaker 1: to have these conversations without being seen as difficult or 423 00:26:29,440 --> 00:26:32,960 Speaker 1: you know, like you're hiding information. But really, this is 424 00:26:33,000 --> 00:26:36,080 Speaker 1: a place where you have so much power in the process. 425 00:26:36,240 --> 00:26:40,359 Speaker 1: Um giving up those numbers just really sets you back again. 426 00:26:40,840 --> 00:26:43,280 Speaker 1: Even if you don't know if you're underpaid or how 427 00:26:43,400 --> 00:26:46,560 Speaker 1: undervalued you might be. If you have an inkling, you 428 00:26:46,720 --> 00:26:49,360 Speaker 1: just pass that power right across the table as soon 429 00:26:49,400 --> 00:26:51,800 Speaker 1: as you tell them what you're making right now. They 430 00:26:51,840 --> 00:26:53,679 Speaker 1: do not need that information in order to make you 431 00:26:53,720 --> 00:26:58,439 Speaker 1: a competitive offer. So you're suggesting that the power that 432 00:26:58,480 --> 00:27:02,240 Speaker 1: you're referring to is your current compensation and that you 433 00:27:02,240 --> 00:27:06,840 Speaker 1: should not disclose that to a potential employee. Employers, Yes, 434 00:27:06,960 --> 00:27:10,960 Speaker 1: I would say absolutely not. If you can, in any 435 00:27:11,040 --> 00:27:14,520 Speaker 1: capacity avoid giving that information over, you will be in 436 00:27:14,560 --> 00:27:18,760 Speaker 1: a much better position to negotiate, and frankly, it's probably 437 00:27:18,800 --> 00:27:21,720 Speaker 1: the easiest way to keep yourself from continuing to be 438 00:27:21,800 --> 00:27:26,040 Speaker 1: underpaid if you are already you know, part of that 439 00:27:26,080 --> 00:27:30,080 Speaker 1: wage gap. I mean, if you look at Ashley's experience, 440 00:27:30,480 --> 00:27:35,120 Speaker 1: within one job move, she more than doubled her salary. 441 00:27:35,200 --> 00:27:37,399 Speaker 1: So if she had revealed how much that she was 442 00:27:37,440 --> 00:27:40,080 Speaker 1: making prior, it would be a much harder pill for 443 00:27:40,160 --> 00:27:42,480 Speaker 1: that new employer to swallow that they were going to 444 00:27:42,600 --> 00:27:46,159 Speaker 1: more than double her prior salary, right man, But I 445 00:27:46,160 --> 00:27:49,320 Speaker 1: mean speaking of hard pills to swallow, you know we 446 00:27:49,520 --> 00:27:53,159 Speaker 1: you've already mentioned how it's almost culturally ingrained in women 447 00:27:53,240 --> 00:27:58,320 Speaker 1: to be polite, be that model employee, not rock the boat, 448 00:27:58,400 --> 00:28:01,720 Speaker 1: not make waves. I mean, in my palm started sweating 449 00:28:01,720 --> 00:28:04,560 Speaker 1: when you were like, don't give up that information, because 450 00:28:04,560 --> 00:28:07,320 Speaker 1: I know what it feels like to be sitting in 451 00:28:07,359 --> 00:28:10,560 Speaker 1: front of that online job application and seeing that cursor 452 00:28:10,640 --> 00:28:13,480 Speaker 1: blinking in the little field where you're supposed to enter 453 00:28:13,560 --> 00:28:17,520 Speaker 1: your current salary? And so what advice do you you know, 454 00:28:17,560 --> 00:28:19,879 Speaker 1: I don't want to steal your your trade secrets that 455 00:28:19,960 --> 00:28:23,399 Speaker 1: you guys do recruiter, but but what is some maybe 456 00:28:23,400 --> 00:28:26,120 Speaker 1: advice or perspective that you can offer our listeners when 457 00:28:26,160 --> 00:28:31,040 Speaker 1: it comes to circumventing not only that, but other potentially 458 00:28:31,119 --> 00:28:35,040 Speaker 1: damaging aspects of the job interview or job application process. 459 00:28:36,520 --> 00:28:38,520 Speaker 1: I think it all comes down to how you frame 460 00:28:38,600 --> 00:28:42,320 Speaker 1: the conversation right, like how you go into these often 461 00:28:42,520 --> 00:28:46,400 Speaker 1: very uncomfortable for us conversations around camp. UM we can 462 00:28:46,400 --> 00:28:49,080 Speaker 1: talk about like literally, how do you move the cursor 463 00:28:49,240 --> 00:28:52,520 Speaker 1: past the what's your current camp blank? If it forces 464 00:28:52,520 --> 00:28:55,280 Speaker 1: you to enter a number. But first, I would say 465 00:28:55,440 --> 00:28:57,440 Speaker 1: the best thing that you can do for yourself if 466 00:28:57,480 --> 00:29:00,080 Speaker 1: you are starting to interview, is to make sure that 467 00:29:00,160 --> 00:29:02,520 Speaker 1: you are prepared before you ever get on the phone 468 00:29:02,520 --> 00:29:06,720 Speaker 1: with a recruiter UM with information about what market rates 469 00:29:06,800 --> 00:29:10,800 Speaker 1: look like for the position you're interviewing for UM. Do 470 00:29:10,840 --> 00:29:14,280 Speaker 1: as much research as you can around current camp for 471 00:29:14,360 --> 00:29:17,960 Speaker 1: your peers, for what folks make another industries if you're 472 00:29:17,960 --> 00:29:21,280 Speaker 1: transitioning from one to another. UM We're really lucky that 473 00:29:21,680 --> 00:29:24,360 Speaker 1: the Internet exists UM. Fifty years ago this would be 474 00:29:24,480 --> 00:29:27,960 Speaker 1: very difficult to do UM. But again, thanks to people 475 00:29:28,040 --> 00:29:30,560 Speaker 1: like Erica Baker UM and many who have come after 476 00:29:30,640 --> 00:29:33,440 Speaker 1: her sort of doing the same push, there are lots 477 00:29:33,520 --> 00:29:37,520 Speaker 1: of resources floating around where we're all sharing this information 478 00:29:37,640 --> 00:29:40,560 Speaker 1: right and trying to get more visibility not just for 479 00:29:40,600 --> 00:29:43,920 Speaker 1: ourselves but for our industries as a whole around like 480 00:29:44,000 --> 00:29:47,400 Speaker 1: what market rate really looks like. There's also quite a 481 00:29:47,480 --> 00:29:49,560 Speaker 1: few services that have popped up in the last couple 482 00:29:49,560 --> 00:29:53,080 Speaker 1: of years. Comparatively is UM. I think the newest one 483 00:29:53,200 --> 00:29:56,880 Speaker 1: they just got something like six million dollars and BC 484 00:29:57,080 --> 00:30:00,680 Speaker 1: funding UM and they're essentially building out this huge database 485 00:30:00,840 --> 00:30:06,040 Speaker 1: not onlike a glass door UM to look specifically at compensation, 486 00:30:06,360 --> 00:30:09,400 Speaker 1: what if the full package might look like for someone 487 00:30:09,640 --> 00:30:12,760 Speaker 1: if they're going into interview, they're asking for anonymous feedback 488 00:30:12,800 --> 00:30:15,040 Speaker 1: on this stuff so that their sample sizes will grow. 489 00:30:15,680 --> 00:30:18,880 Speaker 1: UM pay scale is another one. Again, you can look 490 00:30:18,880 --> 00:30:23,880 Speaker 1: at companies who have already publicly shared salary information to 491 00:30:23,960 --> 00:30:26,520 Speaker 1: get a feel for what people are making near you 492 00:30:26,720 --> 00:30:32,160 Speaker 1: also having conversations with recruiters about compensation in general. A 493 00:30:32,160 --> 00:30:34,640 Speaker 1: lot of times even if you're not super interested in 494 00:30:34,400 --> 00:30:37,800 Speaker 1: the particular role, you should take those intro calls when 495 00:30:37,800 --> 00:30:39,400 Speaker 1: they want to talk to you about them and just 496 00:30:39,480 --> 00:30:43,200 Speaker 1: get competitive intelligence on you know, what companies are looking for, 497 00:30:43,360 --> 00:30:47,200 Speaker 1: what the salary ranges for a particular role. Being armed 498 00:30:47,200 --> 00:30:49,760 Speaker 1: with that stuff before you go into the conversation with 499 00:30:49,800 --> 00:30:52,440 Speaker 1: a recruiter about a position you really want, I'm going 500 00:30:52,520 --> 00:30:54,400 Speaker 1: to help you so much to be able to give, 501 00:30:54,840 --> 00:31:03,200 Speaker 1: you know, data based, totally logical, like numbers oriented reasons 502 00:31:03,280 --> 00:31:06,920 Speaker 1: why you want to be paid a specific amount of 503 00:31:06,960 --> 00:31:10,240 Speaker 1: money or within a specific range for this work that 504 00:31:10,240 --> 00:31:12,400 Speaker 1: you're going to be providing to them. Um, it's so 505 00:31:12,480 --> 00:31:14,719 Speaker 1: much easier to go and armed with that. There is 506 00:31:15,480 --> 00:31:22,520 Speaker 1: great information available about what works, particularly for women, in 507 00:31:22,640 --> 00:31:27,400 Speaker 1: terms of how to approach a negotiation, especially as salary negotiation, 508 00:31:27,880 --> 00:31:30,680 Speaker 1: in a way that's going to help avoid or minimize 509 00:31:30,880 --> 00:31:34,680 Speaker 1: backlash for negotiating in the first place. Right, as a society, 510 00:31:34,760 --> 00:31:37,800 Speaker 1: we are just much more comfortable with men advocating on 511 00:31:37,840 --> 00:31:40,800 Speaker 1: their own half than we are with women doing the same. 512 00:31:41,080 --> 00:31:45,640 Speaker 1: Women are excellent negotiators. They can do a wonderful job 513 00:31:45,880 --> 00:31:48,680 Speaker 1: as long as they're advocating for someone else most of 514 00:31:48,880 --> 00:31:51,000 Speaker 1: the time, Right, and partly this is because you know, 515 00:31:51,200 --> 00:31:54,640 Speaker 1: seriotypically we view women as collaborative and caretaking, and so 516 00:31:55,000 --> 00:31:57,080 Speaker 1: it makes sense for us when we think about a 517 00:31:57,120 --> 00:32:00,480 Speaker 1: woman trying to advocate for someone else, negotiating someone else's behalf, 518 00:32:00,680 --> 00:32:04,160 Speaker 1: but when it's negotiating on her own behalf, then that's 519 00:32:04,200 --> 00:32:06,920 Speaker 1: kind of off putting to us. So, um, there's a 520 00:32:07,000 --> 00:32:10,120 Speaker 1: researcher out of Harvard, her name is Hannah Riley Bowls, 521 00:32:10,200 --> 00:32:12,600 Speaker 1: who's done a lot of great work on this. She 522 00:32:12,680 --> 00:32:16,160 Speaker 1: talks about taking a relational approach to the conversation. So, 523 00:32:16,280 --> 00:32:18,880 Speaker 1: just like Ashley was saying, come in very prepared. Know 524 00:32:19,040 --> 00:32:22,520 Speaker 1: your numbers. Make sure you know you know what the 525 00:32:22,560 --> 00:32:26,040 Speaker 1: salary range is for the job in the specific area. 526 00:32:26,160 --> 00:32:29,120 Speaker 1: If you're trying to negotiate a salary in San Francisco, 527 00:32:29,200 --> 00:32:31,720 Speaker 1: those numbers are gonna look really different than they would 528 00:32:31,720 --> 00:32:34,080 Speaker 1: if you're trying to get a job in Austin for 529 00:32:34,160 --> 00:32:38,840 Speaker 1: the same type of role. Um and talk in terms 530 00:32:38,880 --> 00:32:42,040 Speaker 1: of we right already position yourselves as though you're on 531 00:32:42,080 --> 00:32:44,000 Speaker 1: the same side of the table with a person that 532 00:32:44,040 --> 00:32:47,320 Speaker 1: you're negotiating with, so you can essentially say you know, 533 00:32:47,480 --> 00:32:50,320 Speaker 1: I you know, can't wait to come on and provide 534 00:32:50,400 --> 00:32:55,160 Speaker 1: this particular set of skills and capabilities for your team. 535 00:32:55,200 --> 00:32:59,080 Speaker 1: You know, we're gonna do really well together. I you know, 536 00:32:59,120 --> 00:33:02,800 Speaker 1: I expect to basically put myself, you know, hard to 537 00:33:02,840 --> 00:33:05,400 Speaker 1: work for your company, and at this rate, which I 538 00:33:05,480 --> 00:33:08,200 Speaker 1: understand to be, you know, the going rate, I'm going 539 00:33:08,280 --> 00:33:09,960 Speaker 1: to be really happy coming on and we're going to 540 00:33:10,040 --> 00:33:13,080 Speaker 1: get started on the right foot, et cetera. I wish 541 00:33:13,120 --> 00:33:15,080 Speaker 1: you had been in the room with me, both of 542 00:33:15,120 --> 00:33:18,560 Speaker 1: you and I had my first job offer because I 543 00:33:18,600 --> 00:33:21,200 Speaker 1: didn't negotiate, and I know I'm still paying for it, 544 00:33:21,280 --> 00:33:25,360 Speaker 1: and uh, it's hard not to kick myself anytime I 545 00:33:25,400 --> 00:33:29,000 Speaker 1: think about it. I'm right there with you. I spent 546 00:33:29,200 --> 00:33:33,360 Speaker 1: so many years killing it. Frankly, like I'm not shy, 547 00:33:33,600 --> 00:33:36,720 Speaker 1: I'm really good at my job, but I was killing it. 548 00:33:36,880 --> 00:33:40,200 Speaker 1: And I was the lowest paid person doing that particular 549 00:33:40,280 --> 00:33:42,880 Speaker 1: type of work and for a company that I loved, 550 00:33:42,920 --> 00:33:46,680 Speaker 1: which is a wonderful, wonderful company with lots of great 551 00:33:46,760 --> 00:33:49,360 Speaker 1: people in it um and I just I didn't know. 552 00:33:49,480 --> 00:33:53,280 Speaker 1: I wasn't armed with that information, so I had no idea. 553 00:33:53,440 --> 00:33:55,840 Speaker 1: And then once I found out, you know, it's just 554 00:33:55,880 --> 00:33:58,760 Speaker 1: like it guts you it's really difficult to continue to 555 00:33:59,160 --> 00:34:02,840 Speaker 1: kill it knowing that you're being compensated at a rate 556 00:34:03,040 --> 00:34:05,360 Speaker 1: you know less than half of your peers, who may 557 00:34:05,400 --> 00:34:08,399 Speaker 1: or may not be killing it themselves. So actually has 558 00:34:08,480 --> 00:34:10,640 Speaker 1: told me this story a number of times, and I 559 00:34:10,680 --> 00:34:13,239 Speaker 1: think it's great to highlight that one of her male 560 00:34:13,440 --> 00:34:16,160 Speaker 1: coworkers came to her to share with her the fact 561 00:34:16,200 --> 00:34:19,400 Speaker 1: that she was grossly underpaid. So this is such a 562 00:34:19,520 --> 00:34:22,319 Speaker 1: great area for ally ship, right, Like when we talk 563 00:34:22,360 --> 00:34:25,239 Speaker 1: about the importance of sharing with one another, it's not 564 00:34:25,320 --> 00:34:28,560 Speaker 1: just women sharing with other women, but frankly, our male 565 00:34:28,640 --> 00:34:31,440 Speaker 1: coworkers and friends can talk to us about what they 566 00:34:31,480 --> 00:34:34,440 Speaker 1: are making and that makes a huge difference. Well do 567 00:34:34,520 --> 00:34:41,840 Speaker 1: you think that so called radical transparency of wages, of benefits, 568 00:34:41,880 --> 00:34:44,320 Speaker 1: of skills, the skills that you bring to the table, 569 00:34:44,360 --> 00:34:48,680 Speaker 1: will that help disrupt any toxic office culture? Will it 570 00:34:48,760 --> 00:34:51,400 Speaker 1: help in the gender wage gap as so many people 571 00:34:51,400 --> 00:34:54,759 Speaker 1: are hoping. I think it certainly has the potential to. 572 00:34:55,120 --> 00:34:59,080 Speaker 1: I mean, look at Sales Force, right, Um, they're an 573 00:34:59,080 --> 00:35:03,400 Speaker 1: excellent example all Someone at some point the last couple 574 00:35:03,400 --> 00:35:06,319 Speaker 1: of years came to them and said, hey, we think 575 00:35:06,320 --> 00:35:10,000 Speaker 1: you have some issues with salary on your team. And 576 00:35:10,160 --> 00:35:13,320 Speaker 1: you know their topic Sex said, no, absolutely not. We 577 00:35:13,320 --> 00:35:16,799 Speaker 1: we're a wonderful company. We care to believe for our employees. 578 00:35:17,200 --> 00:35:18,759 Speaker 1: We're doing all this great work for them. We have 579 00:35:18,800 --> 00:35:21,760 Speaker 1: all these great people who stay like there's no way. 580 00:35:21,840 --> 00:35:23,839 Speaker 1: And then they looked at the numbers anyway, and were 581 00:35:23,840 --> 00:35:27,719 Speaker 1: horrified that, yes, in fact, there was huge disparity when 582 00:35:27,760 --> 00:35:31,759 Speaker 1: they looked across their salary ranges and their existing employees 583 00:35:31,800 --> 00:35:34,480 Speaker 1: camp and then they, you know, put three and a 584 00:35:34,560 --> 00:35:37,400 Speaker 1: half million dollars into fixing it. And then they publicly 585 00:35:37,440 --> 00:35:42,759 Speaker 1: talked about how, you know, how frustrating that process was 586 00:35:43,160 --> 00:35:45,799 Speaker 1: to believe so strongly that you were doing the right thing, 587 00:35:45,840 --> 00:35:48,320 Speaker 1: and then of course you were taking care of your folks, 588 00:35:48,600 --> 00:35:50,560 Speaker 1: and then when you dig into the numbers to find that, 589 00:35:50,719 --> 00:35:53,480 Speaker 1: you know, in many cases they weren't. Um Now they're 590 00:35:53,480 --> 00:35:56,640 Speaker 1: a great example because a they looked at the numbers, 591 00:35:56,719 --> 00:35:59,919 Speaker 1: be they did something about it. And see, I think 592 00:36:00,040 --> 00:36:03,560 Speaker 1: most importantly they talked about it, right, because that's that's 593 00:36:03,680 --> 00:36:07,120 Speaker 1: part of the deal. If we don't talk about this stuff, 594 00:36:07,160 --> 00:36:10,359 Speaker 1: if we can't get more transparency around the data that 595 00:36:10,680 --> 00:36:14,160 Speaker 1: will allow us to make better decisions, it's never going 596 00:36:14,239 --> 00:36:16,239 Speaker 1: to go away. And look It's the same thing with 597 00:36:16,280 --> 00:36:19,880 Speaker 1: the diversity and tech deal. If Tracy had never started 598 00:36:20,000 --> 00:36:23,839 Speaker 1: collecting data around how many people worked in tech, how 599 00:36:23,840 --> 00:36:26,839 Speaker 1: many women were on the team at pinterest, UM, there 600 00:36:26,840 --> 00:36:30,160 Speaker 1: would never have been that like light bulb moment right about, 601 00:36:30,160 --> 00:36:32,560 Speaker 1: oh God, this is worse than we thought. And then 602 00:36:32,640 --> 00:36:35,759 Speaker 1: that pushed other companies to share, and it's continuing to 603 00:36:35,760 --> 00:36:40,400 Speaker 1: push the conversation. UM. So yes, I think absolutely having 604 00:36:40,520 --> 00:36:43,799 Speaker 1: more salary transparency and there being a pressure for more 605 00:36:43,840 --> 00:36:46,759 Speaker 1: companies to dig into this stuff has the capacity to 606 00:36:46,880 --> 00:36:50,400 Speaker 1: really truly change the experience of people working in tech 607 00:36:50,440 --> 00:36:56,919 Speaker 1: and other industries. We know that stuff. Mom never told 608 00:36:56,920 --> 00:37:00,960 Speaker 1: you listeners care about what goes into the menstrual products 609 00:37:01,000 --> 00:37:05,400 Speaker 1: they used, while we're here to tell you about Lola. 610 00:37:05,640 --> 00:37:09,000 Speaker 1: Lola was founded with a simple and seemingly obvious idea 611 00:37:09,040 --> 00:37:12,719 Speaker 1: that women shouldn't have to compromise when it comes to tampons, 612 00:37:13,120 --> 00:37:16,759 Speaker 1: and since Lola was created by women for women, they 613 00:37:16,840 --> 00:37:20,760 Speaker 1: created a product they'd use themselves. So here it is, y'all. 614 00:37:21,000 --> 00:37:25,759 Speaker 1: Lola tampons are one natural and one percent easy to 615 00:37:26,000 --> 00:37:31,680 Speaker 1: feel good about, and Lola comes in a simple, customizable subscription, 616 00:37:31,760 --> 00:37:34,480 Speaker 1: so you'll never need to make another frantic trip to 617 00:37:34,520 --> 00:37:38,239 Speaker 1: the drug store. Lola delivers exactly what you need when 618 00:37:38,440 --> 00:37:41,800 Speaker 1: you need it, and lucky you, Lola has a special 619 00:37:41,840 --> 00:37:46,319 Speaker 1: offer just for sminty listeners for sixty percent off your 620 00:37:46,400 --> 00:37:50,160 Speaker 1: first order. Visit my Lola dot com and enter the 621 00:37:50,200 --> 00:37:53,959 Speaker 1: promo code mom stuff when you subscribe, and you're gonna 622 00:37:54,000 --> 00:37:57,640 Speaker 1: want to subscribe right away. Lola tampons are one cotton 623 00:37:57,680 --> 00:38:00,759 Speaker 1: with b p A, free plastic applicators, and the subscription 624 00:38:00,840 --> 00:38:04,239 Speaker 1: is super flexible. You can change, skip, or cancel at 625 00:38:04,280 --> 00:38:07,719 Speaker 1: any time, so don't forget. Head over to milela dot 626 00:38:07,760 --> 00:38:11,080 Speaker 1: com and enter the code mom stuff for si off 627 00:38:11,080 --> 00:38:23,359 Speaker 1: your first order. So, in the spirit of transparency, I'm 628 00:38:23,400 --> 00:38:26,880 Speaker 1: going to share a little bit of a related issue 629 00:38:26,880 --> 00:38:29,719 Speaker 1: that I have personally with this and I've never known 630 00:38:30,239 --> 00:38:33,160 Speaker 1: what to do about it. Um So, like I said, 631 00:38:33,160 --> 00:38:37,040 Speaker 1: I never negotiated when I came onto my my first 632 00:38:37,120 --> 00:38:40,640 Speaker 1: professional job, and I feel like I have been having 633 00:38:40,640 --> 00:38:44,560 Speaker 1: to make up for that. But the last time I 634 00:38:44,600 --> 00:38:48,640 Speaker 1: had to negotiate for my salary, I walked in knowing 635 00:38:49,080 --> 00:38:53,680 Speaker 1: for a fact that I was paid less than my 636 00:38:53,760 --> 00:39:00,920 Speaker 1: male coworkers doing arguably identical work. And when I brought 637 00:39:00,960 --> 00:39:07,279 Speaker 1: that up to the HR manager who I was negotiating with, 638 00:39:07,520 --> 00:39:10,160 Speaker 1: and said, listen, I know that I need an extra 639 00:39:10,200 --> 00:39:13,560 Speaker 1: bump because you've got to even this out. And she said, 640 00:39:13,640 --> 00:39:17,040 Speaker 1: I don't know how you know that information, but it 641 00:39:17,160 --> 00:39:21,160 Speaker 1: is not applicable to this conversation, and became very hostile 642 00:39:21,239 --> 00:39:26,440 Speaker 1: in her tone towards me, as if knowing me knowing 643 00:39:26,480 --> 00:39:30,120 Speaker 1: that and bringing it up with something that I shouldn't have. 644 00:39:30,680 --> 00:39:32,920 Speaker 1: And I know I'm still not being paid equally. I 645 00:39:33,000 --> 00:39:35,600 Speaker 1: know I make less. For a fact, I know I 646 00:39:35,640 --> 00:39:38,359 Speaker 1: make less than my mail co workers who are at 647 00:39:38,400 --> 00:39:41,280 Speaker 1: the exact same level, who have the exact same title. 648 00:39:42,320 --> 00:39:45,239 Speaker 1: So what is someone in my position who's not at 649 00:39:45,239 --> 00:39:48,520 Speaker 1: a salesforce, who doesn't have like a company initiative for 650 00:39:48,600 --> 00:39:53,040 Speaker 1: sales for salary transparency? What do all of the women 651 00:39:53,080 --> 00:39:57,680 Speaker 1: listening to this in my position do? Christian? That is heartbringing. 652 00:39:57,719 --> 00:40:01,120 Speaker 1: I'm so sorry here you're dealing with AT and UM, 653 00:40:01,200 --> 00:40:04,839 Speaker 1: it's so frustrating. And I know that plenty of other 654 00:40:05,400 --> 00:40:08,799 Speaker 1: people have been in your same position. UM. I think 655 00:40:09,400 --> 00:40:12,759 Speaker 1: it helps to just sort of help. It helps to 656 00:40:13,600 --> 00:40:18,320 Speaker 1: remind and teach people that while there are amazing folks 657 00:40:18,440 --> 00:40:22,680 Speaker 1: who work in HR and who want to help the 658 00:40:22,719 --> 00:40:25,040 Speaker 1: people on their team and advocate for them as much 659 00:40:25,040 --> 00:40:28,360 Speaker 1: as possible. There are also just at the end of 660 00:40:28,360 --> 00:40:31,759 Speaker 1: the day, things that they cannot help you with or 661 00:40:31,800 --> 00:40:35,600 Speaker 1: their hands are tied because ultimately h R works for 662 00:40:35,640 --> 00:40:40,759 Speaker 1: the company, right like HR yes often is wonderful and 663 00:40:40,840 --> 00:40:42,719 Speaker 1: wants to help you, but at the end of the day, 664 00:40:43,239 --> 00:40:47,239 Speaker 1: their role is to protect the business. So there is 665 00:40:47,520 --> 00:40:50,160 Speaker 1: there are going to be situations, um like this really 666 00:40:50,280 --> 00:40:53,560 Speaker 1: unfortunate one that you find yourself in where you go 667 00:40:53,760 --> 00:40:56,359 Speaker 1: to the person who you've been told is supposed to 668 00:40:56,360 --> 00:41:00,040 Speaker 1: help you in this situation and they're kind of telling you, I, 669 00:41:00,040 --> 00:41:02,040 Speaker 1: I don't want to be hearing this, you know, like 670 00:41:02,160 --> 00:41:05,400 Speaker 1: this isn't something that we want to address well. And 671 00:41:05,440 --> 00:41:08,799 Speaker 1: the funny thing was, at the end of the whole process, 672 00:41:08,840 --> 00:41:11,040 Speaker 1: because we did go back and forth on some things, 673 00:41:11,840 --> 00:41:14,520 Speaker 1: she she emailed me with like the final terms and 674 00:41:14,560 --> 00:41:17,480 Speaker 1: all of that and noted, you know, you are a 675 00:41:17,480 --> 00:41:24,720 Speaker 1: tough negotiator, and I, oh, wow, I just didn't know 676 00:41:25,000 --> 00:41:27,399 Speaker 1: what what to think about it, And honestly, I've kind 677 00:41:27,400 --> 00:41:29,040 Speaker 1: of just put it in the back of my head 678 00:41:29,480 --> 00:41:32,680 Speaker 1: ever since, because you know, what does someone in this 679 00:41:32,800 --> 00:41:38,080 Speaker 1: position do? Now? Do you walk into your boss's office 680 00:41:38,080 --> 00:41:42,840 Speaker 1: and say hey, I want I want to know you 681 00:41:42,880 --> 00:41:45,440 Speaker 1: know how much more you owe me, like because you 682 00:41:45,440 --> 00:41:49,239 Speaker 1: know that's not probably not going to work. Yeah, and 683 00:41:49,480 --> 00:41:52,080 Speaker 1: this is so tricky, I think to like really speaks 684 00:41:52,080 --> 00:41:56,319 Speaker 1: to how difficult these problems are once they surface, like 685 00:41:56,440 --> 00:41:59,480 Speaker 1: deciding how you're going to move forward. And again I 686 00:41:59,560 --> 00:42:02,400 Speaker 1: had very similar experience to you. I was working for 687 00:42:02,400 --> 00:42:04,920 Speaker 1: a company I loved, and then you know, I pulled 688 00:42:04,960 --> 00:42:08,360 Speaker 1: aside to find out that I was not just underpaid, 689 00:42:08,360 --> 00:42:12,480 Speaker 1: but like really really really underpaid, like more than half 690 00:42:13,080 --> 00:42:15,840 Speaker 1: um and then to have to decide how to move forward. 691 00:42:15,920 --> 00:42:19,800 Speaker 1: I think in my case, um, I recognized my privilege 692 00:42:19,800 --> 00:42:25,160 Speaker 1: and that I could take some time start interviewing at 693 00:42:25,200 --> 00:42:28,319 Speaker 1: other places. Like now that I was armed with this 694 00:42:28,400 --> 00:42:32,080 Speaker 1: information on my real market worth, right, I get start 695 00:42:32,160 --> 00:42:34,960 Speaker 1: digging in with other people and get that validated. I 696 00:42:34,960 --> 00:42:38,400 Speaker 1: could do more research. And you know, everyone knows that 697 00:42:38,480 --> 00:42:43,040 Speaker 1: when you change jobs, when you're able to negotiate for 698 00:42:43,239 --> 00:42:46,000 Speaker 1: a new salary at a new company, usually that's your 699 00:42:46,040 --> 00:42:48,640 Speaker 1: best bet to get the most money. You're generally going 700 00:42:48,680 --> 00:42:51,719 Speaker 1: to get way more money when you're negotiating for an 701 00:42:51,760 --> 00:42:54,160 Speaker 1: offer at a new company. Then you will be able 702 00:42:54,239 --> 00:42:57,120 Speaker 1: to internally at your at your company. And some of 703 00:42:57,120 --> 00:42:59,040 Speaker 1: that is based on what we talked about before, Like, 704 00:42:59,320 --> 00:43:01,360 Speaker 1: a lot of corp rations will already have rules in 705 00:43:01,400 --> 00:43:05,520 Speaker 1: place around what percentage of your current comp they can 706 00:43:05,640 --> 00:43:10,359 Speaker 1: increase UM in some cases. Unfortunately, also there are compensation buckets, 707 00:43:10,400 --> 00:43:14,040 Speaker 1: so like, let's say your manager has five direct reports, 708 00:43:14,440 --> 00:43:18,640 Speaker 1: they may only have X amount of dollars to divvy 709 00:43:18,719 --> 00:43:21,280 Speaker 1: up between those five direct reports and a given quarter 710 00:43:21,400 --> 00:43:24,040 Speaker 1: or a given year. And so even if you're doing 711 00:43:24,239 --> 00:43:28,640 Speaker 1: phenomenally and your thirty dollars underpaid, your manager may feel 712 00:43:28,680 --> 00:43:31,319 Speaker 1: obligated to still split that bucket in a way that 713 00:43:31,480 --> 00:43:33,919 Speaker 1: is not fair to you, but they believe it's fair 714 00:43:34,000 --> 00:43:38,759 Speaker 1: to those five people. Right, So, um, there are all 715 00:43:38,800 --> 00:43:42,640 Speaker 1: these intricacies that you have to take into consideration when 716 00:43:42,680 --> 00:43:46,479 Speaker 1: you look at what possibly could happen if you push 717 00:43:46,560 --> 00:43:50,120 Speaker 1: back again, Right, if you go back um past the 718 00:43:50,320 --> 00:43:53,040 Speaker 1: HR conversation that was already so scary and terrible to 719 00:43:53,080 --> 00:43:57,160 Speaker 1: have UM and really demand that you're paid market rate 720 00:43:57,320 --> 00:44:02,600 Speaker 1: and like escalate this issue because you could totally be 721 00:44:02,680 --> 00:44:06,280 Speaker 1: punished even though you shouldn't be. And the law says 722 00:44:06,360 --> 00:44:10,840 Speaker 1: that your employer cannot punish you for you know that 723 00:44:10,840 --> 00:44:13,840 Speaker 1: there cannot be retaliation, that you can't lose your job 724 00:44:13,960 --> 00:44:17,560 Speaker 1: because you push back about salary. We all know that 725 00:44:17,560 --> 00:44:21,280 Speaker 1: that's not realistic in many cases, right UM. And frankly, 726 00:44:21,360 --> 00:44:25,319 Speaker 1: not everyone can afford to go against the man UM, 727 00:44:25,560 --> 00:44:28,719 Speaker 1: file an e o C complaint or get an employment 728 00:44:28,760 --> 00:44:32,840 Speaker 1: attorney to file a lawsuit for you about your wrongful 729 00:44:33,000 --> 00:44:36,680 Speaker 1: termination um, and then wait, however many months or years 730 00:44:36,680 --> 00:44:40,879 Speaker 1: it takes to get some sort of resolution on that, right. 731 00:44:41,160 --> 00:44:44,799 Speaker 1: Some people don't have the luxury to sit out for 732 00:44:44,840 --> 00:44:48,480 Speaker 1: that many months or years UM. And so it really 733 00:44:48,480 --> 00:44:55,120 Speaker 1: comes down to like what your risk tolerances, UM, What 734 00:44:55,120 --> 00:44:58,400 Speaker 1: what is best for you right now? UM? When you 735 00:44:58,480 --> 00:45:01,240 Speaker 1: look at your budget, when you look at the amount 736 00:45:01,280 --> 00:45:03,759 Speaker 1: of time you have to maybe be out of the 737 00:45:03,840 --> 00:45:06,440 Speaker 1: job of this thing goes self um, And it sucks. 738 00:45:06,480 --> 00:45:09,919 Speaker 1: It's totally not fair to you, UM that you even 739 00:45:09,960 --> 00:45:12,640 Speaker 1: have to consider these factors. But you know, the truth 740 00:45:12,680 --> 00:45:15,240 Speaker 1: for many women, many people in general in this country, 741 00:45:15,280 --> 00:45:18,400 Speaker 1: is that they live paycheck to paycheck, or they have 742 00:45:19,120 --> 00:45:21,719 Speaker 1: family members that they care for who are dependent on 743 00:45:21,800 --> 00:45:25,479 Speaker 1: their income, and if they have conversations or do things 744 00:45:25,480 --> 00:45:29,200 Speaker 1: that might jeopardize the stability of that income. Um, there's 745 00:45:29,239 --> 00:45:31,920 Speaker 1: some really real consequences they have to consider. We don't 746 00:45:31,960 --> 00:45:33,680 Speaker 1: all have a luxury of being able to storm in 747 00:45:33,719 --> 00:45:37,640 Speaker 1: and say like, this is super terrible, what you're doing 748 00:45:37,800 --> 00:45:40,279 Speaker 1: is not right. I've already asked, you know, in the 749 00:45:40,320 --> 00:45:43,440 Speaker 1: way that I you know, I've already asked politely if 750 00:45:43,440 --> 00:45:46,920 Speaker 1: that's what and frankly, you're still screwing me over, Like 751 00:45:47,280 --> 00:45:49,960 Speaker 1: that's the conversation we want to have. But many of 752 00:45:50,040 --> 00:45:52,879 Speaker 1: us are just not in a position to be able 753 00:45:52,880 --> 00:45:56,640 Speaker 1: to do that, and so unfortunately a lot of these cases, 754 00:45:57,600 --> 00:46:01,279 Speaker 1: getting that information that you're now armed with, building it 755 00:46:01,360 --> 00:46:05,000 Speaker 1: up right, supporting it with even more documentation and information 756 00:46:05,080 --> 00:46:09,200 Speaker 1: about your market worth, and starting to research employers who 757 00:46:09,320 --> 00:46:12,960 Speaker 1: have more inclusive practices, and you are gonna be a 758 00:46:12,960 --> 00:46:15,960 Speaker 1: better fit for you over time and really value you 759 00:46:16,120 --> 00:46:19,480 Speaker 1: and support you and pay you what you're worth. That 760 00:46:19,560 --> 00:46:22,200 Speaker 1: might be your happy ending. But I know that that's 761 00:46:22,239 --> 00:46:25,080 Speaker 1: not the simple answer for everyone. Yeah, I mean, the 762 00:46:25,440 --> 00:46:28,680 Speaker 1: you know, sort of time tested way that many people 763 00:46:28,719 --> 00:46:30,759 Speaker 1: approach this problem is they just go out and get 764 00:46:30,800 --> 00:46:33,920 Speaker 1: another offer, right, and then bring it to their current 765 00:46:33,960 --> 00:46:38,040 Speaker 1: employer and say, hey, I have this really appealing offer. 766 00:46:38,160 --> 00:46:41,879 Speaker 1: This over the company can you match it? Uh? And, 767 00:46:42,000 --> 00:46:45,560 Speaker 1: like we talked about before, for women who negotiate, we 768 00:46:45,640 --> 00:46:48,040 Speaker 1: always have to keep in mind that there is this 769 00:46:48,120 --> 00:46:52,000 Speaker 1: backlash about women negotiating on their own behalf. So if 770 00:46:52,080 --> 00:46:54,880 Speaker 1: you take this approach and you do go out and 771 00:46:55,000 --> 00:46:58,480 Speaker 1: interview elsewhere and get a really great competitive offer, but 772 00:46:58,560 --> 00:47:01,480 Speaker 1: you like your job and you would rather stay than 773 00:47:01,560 --> 00:47:04,440 Speaker 1: when you go present that to your current boss, you 774 00:47:04,520 --> 00:47:07,200 Speaker 1: have to present it in a way that's basically like, look, 775 00:47:08,040 --> 00:47:11,040 Speaker 1: I was contacted by this other company. I felt like 776 00:47:11,080 --> 00:47:13,360 Speaker 1: I owed it to myself to just you know, have 777 00:47:13,440 --> 00:47:16,520 Speaker 1: the conversation with them. They have made me this very 778 00:47:16,520 --> 00:47:20,040 Speaker 1: competitive offer, but I love being here. This is where 779 00:47:20,040 --> 00:47:23,000 Speaker 1: I want to stay. You know. I love the contribution 780 00:47:23,040 --> 00:47:25,480 Speaker 1: and making on this team. I don't want to have 781 00:47:25,560 --> 00:47:29,400 Speaker 1: to go there. But given you know, the market rates, 782 00:47:29,600 --> 00:47:32,200 Speaker 1: this is a very difficult offer for me to turn down. 783 00:47:32,719 --> 00:47:34,719 Speaker 1: Is there any way that you could need it so 784 00:47:34,760 --> 00:47:38,200 Speaker 1: that I could stick around here and you know, continue 785 00:47:38,280 --> 00:47:40,480 Speaker 1: making contributions here. This is where I want to be 786 00:47:40,960 --> 00:47:44,120 Speaker 1: if you can just match the salary offer, So that 787 00:47:44,200 --> 00:47:46,279 Speaker 1: might be another way to kind of get around it. 788 00:47:46,320 --> 00:47:49,920 Speaker 1: If like, hey, just pay us fairly isn't really getting 789 00:47:49,960 --> 00:47:53,280 Speaker 1: you where you want to be. Do you think getting 790 00:47:53,400 --> 00:47:56,680 Speaker 1: dinged for have it? And of course getting dinged is 791 00:47:56,680 --> 00:47:59,920 Speaker 1: like massively understanding the issue, But do you mean getting 792 00:48:00,080 --> 00:48:04,520 Speaker 1: dinged for having those negotiation conversations, like having the kind 793 00:48:04,560 --> 00:48:06,920 Speaker 1: of conversation that Kristen did. Uh? Do you think the 794 00:48:06,960 --> 00:48:11,799 Speaker 1: penalties are higher if you're a woman of color? Can 795 00:48:11,840 --> 00:48:15,000 Speaker 1: you imagine if if I'm a black woman going in there, 796 00:48:15,040 --> 00:48:18,560 Speaker 1: like I walk right into that angry black woman's stereotypes? 797 00:48:18,640 --> 00:48:22,600 Speaker 1: So absolutely right, you have to deal with many more 798 00:48:22,680 --> 00:48:26,359 Speaker 1: of those challenges when you have multiple aspects of your 799 00:48:26,400 --> 00:48:32,080 Speaker 1: identity that are marginalized. So I do think it's really 800 00:48:32,239 --> 00:48:36,160 Speaker 1: fascinating how a lot of this so called radical transparency 801 00:48:36,480 --> 00:48:41,960 Speaker 1: is taking off in Silicon Valley and with digital companies 802 00:48:42,400 --> 00:48:45,560 Speaker 1: that at the same time have so many public issues 803 00:48:45,840 --> 00:48:49,920 Speaker 1: with gender and diversity. So why do you think that 804 00:48:50,840 --> 00:48:54,360 Speaker 1: this is really where a lot of this conversation is 805 00:48:54,400 --> 00:49:00,840 Speaker 1: stemming from? Like why the tech industry? I think the 806 00:49:00,880 --> 00:49:07,080 Speaker 1: tech industry really prides itself on being innovative and forward thinking, 807 00:49:07,440 --> 00:49:12,400 Speaker 1: so there are much more comfortable with and likely to 808 00:49:12,680 --> 00:49:16,160 Speaker 1: try new things, And I think that's one of the 809 00:49:16,200 --> 00:49:19,840 Speaker 1: aspects that makes working on this problem within this industry 810 00:49:19,920 --> 00:49:23,399 Speaker 1: so exciting and gives me the hopeful things because there's 811 00:49:23,440 --> 00:49:27,200 Speaker 1: a lot to be depressed and frustrated about every day. UM. 812 00:49:27,239 --> 00:49:30,719 Speaker 1: But you know, you look at Etsy or Netflix or 813 00:49:30,760 --> 00:49:33,719 Speaker 1: any of these large and more successful tech companies coming 814 00:49:33,719 --> 00:49:38,160 Speaker 1: out and announcing fantastic benefits. For example, Netflix will give 815 00:49:38,200 --> 00:49:41,520 Speaker 1: you out to a year of paid leave for parent 816 00:49:41,600 --> 00:49:45,520 Speaker 1: parents right of any gender. UM. That's fantastic in a 817 00:49:45,600 --> 00:49:48,880 Speaker 1: country that is alone with Popua New Guinea and not 818 00:49:49,000 --> 00:49:53,640 Speaker 1: offering paid maternity leave, that's huge, right. So those kind 819 00:49:53,640 --> 00:49:57,400 Speaker 1: of UM offerings where the tech industry is trying to 820 00:49:58,120 --> 00:50:00,800 Speaker 1: push the edge, which is something that basic like everyone 821 00:50:01,040 --> 00:50:05,120 Speaker 1: prides themselves on UM is really great for us. And 822 00:50:05,160 --> 00:50:09,239 Speaker 1: at the same time, within particular companies, you know, it 823 00:50:09,280 --> 00:50:11,919 Speaker 1: really sort depends on the culture and what the real 824 00:50:12,080 --> 00:50:14,839 Speaker 1: message and commitment is from the top. Some of those 825 00:50:14,880 --> 00:50:17,600 Speaker 1: companies are just kind of trying to check the box off, right, 826 00:50:17,640 --> 00:50:19,760 Speaker 1: Like this isn't a problem they really want to spend 827 00:50:19,760 --> 00:50:22,280 Speaker 1: a lot of time on, but they feel the pressure 828 00:50:22,320 --> 00:50:25,040 Speaker 1: that they need to address it, so they'll say, oh, yeah, 829 00:50:25,080 --> 00:50:27,799 Speaker 1: you know, let's implement the Rooney rule and make sure 830 00:50:27,840 --> 00:50:30,719 Speaker 1: that we at least interview the minority for every open role, 831 00:50:31,280 --> 00:50:34,360 Speaker 1: UM check that box. You know, we'll do some of 832 00:50:34,400 --> 00:50:39,120 Speaker 1: these initiatives, but there's not a core commitment to the 833 00:50:39,320 --> 00:50:43,239 Speaker 1: addressing the problem, whereas at other companies and in tech 834 00:50:43,280 --> 00:50:46,600 Speaker 1: in particular, you know, our clients are really proud of UM, 835 00:50:46,760 --> 00:50:49,200 Speaker 1: have a deep commitment to these issues and are trying 836 00:50:49,239 --> 00:50:54,400 Speaker 1: to do comprehensive reforms and initiatives to make sure that 837 00:50:54,440 --> 00:50:58,600 Speaker 1: they are creating a truly equitable and inclusive place for work. 838 00:50:58,719 --> 00:51:02,560 Speaker 1: And in both cases, the policies are great, but the 839 00:51:02,719 --> 00:51:05,239 Speaker 1: overall outcome is going to be different depending on the 840 00:51:05,280 --> 00:51:08,640 Speaker 1: specific company. So to circle back to the parental leave issue. 841 00:51:08,680 --> 00:51:12,120 Speaker 1: For example, if it's all great and wonderful if you 842 00:51:12,239 --> 00:51:16,040 Speaker 1: have you know, unlimited vacation or up to your parental leave, 843 00:51:16,600 --> 00:51:20,839 Speaker 1: but what's the kind of unspoken messaging, right, Like, is 844 00:51:20,920 --> 00:51:24,239 Speaker 1: there a common knowledge at the company that if you're 845 00:51:24,280 --> 00:51:27,239 Speaker 1: a dad and you take your full ten weeks of 846 00:51:27,320 --> 00:51:30,680 Speaker 1: paid leaves, so that's career suicide even though it's on 847 00:51:30,719 --> 00:51:34,640 Speaker 1: the books, that's the policy, right, So it definitely always 848 00:51:34,640 --> 00:51:37,160 Speaker 1: has kind of a drill down like what's really going 849 00:51:37,200 --> 00:51:39,879 Speaker 1: on in the particular company where you are, regardless of 850 00:51:39,960 --> 00:51:46,000 Speaker 1: what the written policy might be. And I really like that, 851 00:51:46,160 --> 00:51:48,839 Speaker 1: you know, for all the flak that the millennials get, 852 00:51:49,560 --> 00:51:51,600 Speaker 1: you know, we're doing some really great stuff. I mean, 853 00:51:51,640 --> 00:51:53,520 Speaker 1: I feel like we are leading the charge in terms 854 00:51:53,600 --> 00:51:59,080 Speaker 1: of revolutionizing the workplace culture, and this is one example 855 00:51:59,200 --> 00:52:02,480 Speaker 1: of it. Sadly, it is a story that we hear 856 00:52:02,800 --> 00:52:05,280 Speaker 1: over and over and over and over and over again. 857 00:52:05,440 --> 00:52:07,960 Speaker 1: So it's personal and it's terrifying for you to talk 858 00:52:08,000 --> 00:52:10,400 Speaker 1: about it. But it's really powerful that you're doing that 859 00:52:10,440 --> 00:52:12,719 Speaker 1: because it allows other people to realize they're not the 860 00:52:12,760 --> 00:52:15,759 Speaker 1: only ones having that experience and that it is not normal. Well, 861 00:52:15,760 --> 00:52:17,920 Speaker 1: and part of why I don't usually talk about it 862 00:52:17,960 --> 00:52:23,319 Speaker 1: is because it's also embarrassing. Total Yeah, yeah, hey man, 863 00:52:23,360 --> 00:52:26,960 Speaker 1: I feel like, again, I, of all people, I should 864 00:52:26,960 --> 00:52:30,280 Speaker 1: have known. How did I live like that many years underpaid? 865 00:52:30,520 --> 00:52:32,359 Speaker 1: When I'm supposed to be the expert at that in 866 00:52:32,400 --> 00:52:35,640 Speaker 1: my field? Uh, it is embarrassing. It sucks. It's like 867 00:52:35,880 --> 00:52:38,160 Speaker 1: financial literacy. I should have known all that stuff. But 868 00:52:38,560 --> 00:52:41,279 Speaker 1: sometimes it takes someone pulling you aside and you know, 869 00:52:41,440 --> 00:52:43,520 Speaker 1: giving me the tip be where you figure it all out. 870 00:52:43,640 --> 00:52:46,560 Speaker 1: And I think that's a big aspect of this conversation 871 00:52:46,600 --> 00:52:49,640 Speaker 1: that's going on because Kristen, you say it's embarrassing, but 872 00:52:49,800 --> 00:52:52,319 Speaker 1: it's almost a trap. I see General Akbar in my 873 00:52:52,360 --> 00:52:56,680 Speaker 1: head yelling it's a trap because on the one hand, 874 00:52:56,760 --> 00:53:00,719 Speaker 1: we are supposed to be responsible for negotiating in a 875 00:53:00,800 --> 00:53:03,560 Speaker 1: way that nabs us the most money. But on the 876 00:53:03,560 --> 00:53:06,720 Speaker 1: other hand, we're not empowered in a lot of ways 877 00:53:06,840 --> 00:53:11,239 Speaker 1: to either know what the industry standard is or to 878 00:53:11,320 --> 00:53:14,200 Speaker 1: even think to research what the industry standard is. And 879 00:53:14,239 --> 00:53:17,600 Speaker 1: then certainly with if you're dealing with a hostile HR 880 00:53:17,680 --> 00:53:22,480 Speaker 1: person or a hostile manager, you're certainly not empowered to 881 00:53:23,000 --> 00:53:25,279 Speaker 1: be able to ask for more money or even ask 882 00:53:25,360 --> 00:53:30,320 Speaker 1: about what coworkers are being paid on average, and so like, yes, well, 883 00:53:31,080 --> 00:53:34,520 Speaker 1: I totally agree that it is embarrassing to realize like, oh, 884 00:53:34,640 --> 00:53:39,759 Speaker 1: I've contributed to being underpaid. It's such a trap. Well, 885 00:53:39,840 --> 00:53:43,480 Speaker 1: and hostility, as said, it's all of the unconscious biases 886 00:53:43,800 --> 00:53:47,360 Speaker 1: that you as a woman, a woman of color, like 887 00:53:47,520 --> 00:53:51,040 Speaker 1: whatever your layers of identity are, um as you two 888 00:53:51,040 --> 00:53:53,640 Speaker 1: were talking about at the beginning of our conversation, where 889 00:53:53,640 --> 00:53:59,200 Speaker 1: it's impossible for us to have a completely objective negotiation process. 890 00:53:59,840 --> 00:54:02,160 Speaker 1: And I do realize, of course that it's admiral akbar, 891 00:54:02,280 --> 00:54:10,920 Speaker 1: my apologies here, gonna get some mad Star Wars, you know, Um, 892 00:54:11,040 --> 00:54:13,400 Speaker 1: I was just gonna say yeah, and you know on 893 00:54:13,440 --> 00:54:17,200 Speaker 1: these topics, I mean, I will say I have a 894 00:54:17,239 --> 00:54:21,400 Speaker 1: lot of mixed feelings about the Sheryl Sandberg leen in 895 00:54:22,239 --> 00:54:28,799 Speaker 1: ethos um And definitely it is empowering for women to 896 00:54:28,840 --> 00:54:33,279 Speaker 1: go out and get this information and learn specific strategies 897 00:54:33,280 --> 00:54:36,719 Speaker 1: for how to negotiate on their own. Behalf. Reading that 898 00:54:36,760 --> 00:54:40,120 Speaker 1: book Why Women Don't Act or Women Don't Ask is 899 00:54:40,480 --> 00:54:43,759 Speaker 1: really great. Um, you know, like it's a really good book. 900 00:54:43,840 --> 00:54:47,360 Speaker 1: It's very informative. It helped me in my personal negotiations. 901 00:54:47,800 --> 00:54:50,880 Speaker 1: And then at the same time in our work, Ashley 902 00:54:50,880 --> 00:54:53,200 Speaker 1: and I are constantly trying to also come at it 903 00:54:53,280 --> 00:54:58,160 Speaker 1: from the company angle and encouraging companies to not contribute 904 00:54:58,200 --> 00:55:02,160 Speaker 1: to a situation where con cently individual employees are basically 905 00:55:02,200 --> 00:55:04,880 Speaker 1: just out there trying to battle it on their own 906 00:55:05,040 --> 00:55:07,200 Speaker 1: for getting paid what they're worth. This is why we 907 00:55:07,360 --> 00:55:13,280 Speaker 1: advocate having this salary transparency as a company policy. Um. 908 00:55:13,320 --> 00:55:16,080 Speaker 1: You know, we can help one another as employees by 909 00:55:16,120 --> 00:55:19,640 Speaker 1: starting these conversations and talking to each other about what 910 00:55:19,760 --> 00:55:22,440 Speaker 1: we make and you know, giving each other hand up 911 00:55:22,480 --> 00:55:25,680 Speaker 1: to a greater path to wealth and to being paid 912 00:55:25,800 --> 00:55:29,080 Speaker 1: what we're worth. So I, on the one hand, yes, 913 00:55:29,160 --> 00:55:30,759 Speaker 1: you know, like there's so much that you can do 914 00:55:30,880 --> 00:55:33,879 Speaker 1: on your own as an individual, UM, learn more about 915 00:55:33,920 --> 00:55:36,400 Speaker 1: ways to approach these issues. And on the other hand, 916 00:55:36,480 --> 00:55:39,120 Speaker 1: it's going to take a big group effort. It's going 917 00:55:39,160 --> 00:55:42,080 Speaker 1: to take us supporting one another. It's going to take 918 00:55:42,520 --> 00:55:47,520 Speaker 1: companies involving their culture and practices to be more equitable 919 00:55:47,520 --> 00:55:51,040 Speaker 1: and fair. Well, I think that's the perfect note to 920 00:55:51,280 --> 00:55:56,280 Speaker 1: end on. Gina and Ashuley, thank you so much for 921 00:55:56,680 --> 00:55:59,319 Speaker 1: talking to us. Also, even before that, Gina, thank you 922 00:55:59,360 --> 00:56:03,719 Speaker 1: for messaging Caroline and me before south By Southwest listeners. 923 00:56:03,760 --> 00:56:07,719 Speaker 1: That's all how this went down, UM, And can you 924 00:56:08,080 --> 00:56:10,600 Speaker 1: let our listeners know how they can find out more 925 00:56:10,640 --> 00:56:13,600 Speaker 1: about you and what recruit her is all about and 926 00:56:13,600 --> 00:56:16,279 Speaker 1: what you all are doing. Sure, you can visit our 927 00:56:16,280 --> 00:56:20,799 Speaker 1: website at recruit her dot io and that has all 928 00:56:20,880 --> 00:56:23,719 Speaker 1: the information about how you can connect with us. We 929 00:56:23,800 --> 00:56:26,480 Speaker 1: have an email newsletter you can sign up for if 930 00:56:26,480 --> 00:56:28,000 Speaker 1: you're looking for a job or you just want to 931 00:56:28,000 --> 00:56:30,480 Speaker 1: know what's out there. You can register and give us 932 00:56:30,480 --> 00:56:32,360 Speaker 1: your resume and we'll see if we have something that 933 00:56:32,440 --> 00:56:35,600 Speaker 1: matches you with one of the tech companies. That's our clients. 934 00:56:36,080 --> 00:56:39,880 Speaker 1: We also offer career coaching through our amazing executive and 935 00:56:39,920 --> 00:56:43,600 Speaker 1: career coach area hunter um and the variety of options 936 00:56:43,640 --> 00:56:46,760 Speaker 1: the packages available for that, so look us up online. 937 00:56:46,880 --> 00:56:49,560 Speaker 1: You can also find us on Twitter and Facebook and 938 00:56:49,680 --> 00:56:53,719 Speaker 1: LinkedIn what's your Twitter handle? Well, there's recruit her for 939 00:56:53,760 --> 00:56:56,920 Speaker 1: the business Twitter and then I am Gina help Rick, 940 00:56:57,239 --> 00:57:01,799 Speaker 1: no spaces just all one word UM and Ashley Ashley Underscore, 941 00:57:02,080 --> 00:57:10,080 Speaker 1: Doyle d y a L. Well. Thank you so much 942 00:57:10,160 --> 00:57:14,360 Speaker 1: to Gina Healthfrik and Ashley Doyle, the founders of recruit 943 00:57:14,400 --> 00:57:17,480 Speaker 1: Her for talking to Caroline and me not only on 944 00:57:17,520 --> 00:57:21,120 Speaker 1: the podcast but also at south By Southwest. It has 945 00:57:21,160 --> 00:57:23,880 Speaker 1: been so great to build this relationship in such a 946 00:57:23,960 --> 00:57:27,320 Speaker 1: quick time, UM, with these women who have so many 947 00:57:27,360 --> 00:57:30,919 Speaker 1: insights on these issues. I feel like Caroline, we hear 948 00:57:30,960 --> 00:57:32,960 Speaker 1: a lot about in terms of women you need to 949 00:57:33,000 --> 00:57:38,800 Speaker 1: negotiate more and know you're worth But they're really offering 950 00:57:39,080 --> 00:57:46,479 Speaker 1: these sharper tools for actually making those kinds of things happen. Yeah, 951 00:57:46,520 --> 00:57:49,120 Speaker 1: maybe we should start our own Google doc for all 952 00:57:49,200 --> 00:57:51,360 Speaker 1: Sminty listeners and you can just go in and put 953 00:57:51,360 --> 00:57:54,800 Speaker 1: your job title like your salary and your hourly wage, 954 00:57:55,000 --> 00:57:58,520 Speaker 1: and we can all look and see what other what 955 00:57:58,680 --> 00:58:03,800 Speaker 1: do other feminist podcasters make? What? What do other writers 956 00:58:03,920 --> 00:58:07,760 Speaker 1: and waitresses and actresses make? Well? And we'd also have 957 00:58:07,800 --> 00:58:10,360 Speaker 1: to make sure that we get some dudes to PLoP 958 00:58:10,440 --> 00:58:13,640 Speaker 1: their salaries in there so that we can really compare 959 00:58:13,680 --> 00:58:17,960 Speaker 1: and see how much we're really making or not. UM. 960 00:58:18,000 --> 00:58:21,520 Speaker 1: But I'm sure that listeners have so many thoughts about 961 00:58:21,600 --> 00:58:25,000 Speaker 1: our conversation with Gina and Ashley. UM. So first, if 962 00:58:25,040 --> 00:58:26,760 Speaker 1: you want to learn more about them, you can head 963 00:58:26,800 --> 00:58:32,000 Speaker 1: over to their website again, it's recruit her dot io. UM. 964 00:58:32,040 --> 00:58:35,680 Speaker 1: And you can also listeners send us your letters about 965 00:58:35,680 --> 00:58:38,040 Speaker 1: all of this. Have you encountered any of these issues 966 00:58:38,080 --> 00:58:41,400 Speaker 1: in your workplace? Have you ever done the thing of 967 00:58:41,520 --> 00:58:45,760 Speaker 1: asking your coworkers how much they make? How did you 968 00:58:45,840 --> 00:58:48,720 Speaker 1: do that? How did your boss respond? Yes, I'm asking 969 00:58:48,760 --> 00:58:51,640 Speaker 1: for tips. Mom Stuff at how stuffworks dot com is 970 00:58:51,680 --> 00:58:53,640 Speaker 1: our email address. You can also tweet us at mom 971 00:58:53,680 --> 00:58:57,040 Speaker 1: stuff podcasts or messages on Facebook, and we've got a 972 00:58:57,040 --> 00:59:04,400 Speaker 1: couple of messages to share with you right now. Okay, 973 00:59:04,440 --> 00:59:07,960 Speaker 1: I have a letter here from Christine's Salinger, and I 974 00:59:08,000 --> 00:59:11,560 Speaker 1: would not normally read off a listener's full name in 975 00:59:11,600 --> 00:59:15,760 Speaker 1: the listener mail segment, but we actually mentioned and cited 976 00:59:15,920 --> 00:59:21,280 Speaker 1: Christine in our episode on disability and sexuality. So here's 977 00:59:21,280 --> 00:59:24,080 Speaker 1: what Christine had to say. A friend recently told me 978 00:59:24,160 --> 00:59:26,240 Speaker 1: that you quoted me in a podcast. I wanted to 979 00:59:26,240 --> 00:59:28,120 Speaker 1: go back and check it out. Thanks for doing that. 980 00:59:28,200 --> 00:59:30,440 Speaker 1: It's really great and you managed to cover a lot 981 00:59:30,480 --> 00:59:33,080 Speaker 1: in that quick hour. A couple of things I wanted 982 00:59:33,120 --> 00:59:37,400 Speaker 1: to hit on. Number one, the word suffered. You described 983 00:59:37,480 --> 00:59:40,120 Speaker 1: me as someone who suffered a spinal cord injury, and 984 00:59:40,160 --> 00:59:43,000 Speaker 1: this is a word I generally try to avoid. Instead, 985 00:59:43,080 --> 00:59:46,800 Speaker 1: I used the phrase I sustained my spinal cord injury. 986 00:59:47,560 --> 00:59:50,080 Speaker 1: The reason for this is that suffering carries a lot 987 00:59:50,120 --> 00:59:53,480 Speaker 1: of negative connotations, the image of a person who you 988 00:59:53,480 --> 00:59:56,080 Speaker 1: should pity, and it's really just not true for me. 989 00:59:56,240 --> 00:59:59,560 Speaker 1: As with many other people with disabilities, as you sort 990 00:59:59,600 --> 01:00:02,320 Speaker 1: of hit on in your podcast, disability is still seen 991 01:00:02,400 --> 01:00:05,960 Speaker 1: as being bad or lesser. So there's an assumption that 992 01:00:06,040 --> 01:00:08,920 Speaker 1: having a disability makes you suffer, but for many of 993 01:00:08,960 --> 01:00:12,160 Speaker 1: us that isn't true. We each live with our disabilities. 994 01:00:12,200 --> 01:00:13,800 Speaker 1: They are a part of us, in a part of 995 01:00:13,800 --> 01:00:18,880 Speaker 1: our normal. Number two actors near the end of your podcast, 996 01:00:18,960 --> 01:00:21,760 Speaker 1: you talk about seeing more people with disabilities in media, 997 01:00:22,080 --> 01:00:24,160 Speaker 1: and now that's great. I find it to be such 998 01:00:24,200 --> 01:00:26,440 Speaker 1: a shame that they are most often portrayed by people 999 01:00:26,440 --> 01:00:30,480 Speaker 1: who don't actually have that disability. It may be understandable 1000 01:00:30,520 --> 01:00:32,720 Speaker 1: when talking about a movie or TV show where the 1001 01:00:32,800 --> 01:00:35,960 Speaker 1: character is depicted both with and without their disabilities, such 1002 01:00:36,000 --> 01:00:38,520 Speaker 1: as the Theory of Everything, but I don't believe it's 1003 01:00:38,600 --> 01:00:41,560 Speaker 1: right or okay for films like Avatar or television shows 1004 01:00:41,600 --> 01:00:45,400 Speaker 1: likely to use actors that don't have that disability. Just 1005 01:00:45,480 --> 01:00:47,880 Speaker 1: as we don't see actors in black face anymore, we 1006 01:00:47,880 --> 01:00:51,840 Speaker 1: shouldn't be seeing actors pretending to have disabilities. I'd also 1007 01:00:51,880 --> 01:00:54,760 Speaker 1: love to see disability in media normalized, so that we 1008 01:00:54,840 --> 01:00:58,120 Speaker 1: see even extras as people with disabilities and not always 1009 01:00:58,160 --> 01:01:02,440 Speaker 1: a central character who's fighting against their disability in some way. Anyway, 1010 01:01:02,480 --> 01:01:04,800 Speaker 1: thanks again so much. I really believe that the more 1011 01:01:04,840 --> 01:01:08,120 Speaker 1: people know, the more accepting society will become. And thank 1012 01:01:08,160 --> 01:01:11,480 Speaker 1: you so much, Christine. We appreciate your letting. And I've 1013 01:01:11,480 --> 01:01:14,680 Speaker 1: gotta let her hear from Meredith about the same podcast episode, 1014 01:01:15,080 --> 01:01:17,120 Speaker 1: and she writes, I was so excited to see a 1015 01:01:17,160 --> 01:01:22,520 Speaker 1: podcast addressing sexuality and disability. As being an occupational therapist, 1016 01:01:22,560 --> 01:01:25,800 Speaker 1: this is something I addressed frequently with my patients. However, 1017 01:01:25,840 --> 01:01:28,560 Speaker 1: I was disappointed that there wasn't a single mention of 1018 01:01:28,600 --> 01:01:31,560 Speaker 1: occupational therapy and the services they offer to help people 1019 01:01:31,640 --> 01:01:35,400 Speaker 1: learn and manage your sexuality after an injury. We were 1020 01:01:35,440 --> 01:01:38,520 Speaker 1: instead clustered in a therapy services that do not address this. 1021 01:01:38,680 --> 01:01:42,880 Speaker 1: In rehab, occupational therapy is a frequently misunderstood part of 1022 01:01:42,880 --> 01:01:46,600 Speaker 1: the treatment team. We address daily functions and occupations like 1023 01:01:46,640 --> 01:01:49,920 Speaker 1: activities of daily living of people of any age, ability 1024 01:01:49,960 --> 01:01:54,600 Speaker 1: and diagnosis, and this can be getting dressed, driving, money management, 1025 01:01:54,640 --> 01:01:57,560 Speaker 1: and even sex. I've attached to link below to our 1026 01:01:57,640 --> 01:02:01,320 Speaker 1: national organization addressing the role of occup facitional therapy in 1027 01:02:01,480 --> 01:02:05,960 Speaker 1: sexuality and just thought you should know so listeners. That 1028 01:02:06,040 --> 01:02:09,600 Speaker 1: addresses over at a O t A dot org if 1029 01:02:09,640 --> 01:02:12,440 Speaker 1: you want to learn more about occupational therapy and Meredith, 1030 01:02:13,040 --> 01:02:15,720 Speaker 1: thank you so much for shining a light on that 1031 01:02:15,800 --> 01:02:19,040 Speaker 1: important work that you do and now, listeners, we want 1032 01:02:19,040 --> 01:02:20,920 Speaker 1: to hear from you as always. Mom Stuff at how 1033 01:02:20,960 --> 01:02:23,760 Speaker 1: stuffworks dot com is our email address and for links 1034 01:02:23,800 --> 01:02:25,560 Speaker 1: to all of our social media as well as all 1035 01:02:25,560 --> 01:02:29,520 Speaker 1: of our blogs, videos and podcasts with our sources so 1036 01:02:29,600 --> 01:02:34,040 Speaker 1: you can learn more about salary transparency and recruit her. 1037 01:02:34,560 --> 01:02:41,080 Speaker 1: Head on over to stuff Mom Never told You dot com. 1038 01:02:41,160 --> 01:02:43,640 Speaker 1: For more on this and thousands of other topics, visit 1039 01:02:43,720 --> 01:02:52,600 Speaker 1: how stuff works dot com