1 00:00:00,040 --> 00:00:08,959 Speaker 1: M M. I have a question for you, Claire. If 2 00:00:09,000 --> 00:00:11,320 Speaker 1: a company knows it has a pay gap and it 3 00:00:11,400 --> 00:00:14,080 Speaker 1: wants to fix it, why not just pay women more. 4 00:00:14,760 --> 00:00:17,960 Speaker 1: I mean, it makes sense to me, but it's not 5 00:00:18,040 --> 00:00:21,639 Speaker 1: actually that easy. In the short term, it works, but 6 00:00:21,760 --> 00:00:26,800 Speaker 1: as a permanent solution not really. Take Salesforce, for example, 7 00:00:27,400 --> 00:00:31,360 Speaker 1: the big San Francisco software company. They tried it and 8 00:00:31,440 --> 00:00:34,839 Speaker 1: they're still working on it. The process started in two 9 00:00:34,880 --> 00:00:37,839 Speaker 1: thousand fifteen when they decided to do an audit to 10 00:00:37,840 --> 00:00:40,479 Speaker 1: find out if they even had a pay gap that 11 00:00:40,560 --> 00:00:43,440 Speaker 1: first year. They kept it pretty simple. They looked only 12 00:00:43,479 --> 00:00:47,080 Speaker 1: at base salaries people with the same job type, broken 13 00:00:47,159 --> 00:00:50,960 Speaker 1: down by gender. They found that six percent of Salesforce's 14 00:00:50,960 --> 00:00:55,360 Speaker 1: employees were being underpaid for no apparent reason. It wasn't 15 00:00:55,360 --> 00:00:58,080 Speaker 1: because they were working fewer hours or didn't have a 16 00:00:58,080 --> 00:01:02,840 Speaker 1: lot of experience. They working pairing software developers to software developers, 17 00:01:02,840 --> 00:01:07,559 Speaker 1: receptionists to receptionists. So did they then pay those people 18 00:01:07,640 --> 00:01:11,640 Speaker 1: more money? Yep, Salesforce spent three million dollars that first 19 00:01:11,720 --> 00:01:15,240 Speaker 1: year bumping people up. Granted, its revenue that year was 20 00:01:15,280 --> 00:01:18,679 Speaker 1: six point seven billion, but still that's a lot of money. 21 00:01:19,680 --> 00:01:22,600 Speaker 1: And not just women got races. There were some men 22 00:01:22,640 --> 00:01:26,560 Speaker 1: who were being underpaid too, So then everything was fixed. Yep, 23 00:01:26,760 --> 00:01:32,160 Speaker 1: the end. No, actually it was the exact opposite. When 24 00:01:32,160 --> 00:01:34,839 Speaker 1: they did the audit again the following year, they added 25 00:01:34,880 --> 00:01:38,160 Speaker 1: race to the equation, factored in bonuses in addition to 26 00:01:38,200 --> 00:01:41,520 Speaker 1: base pay, and found another eleven percent of people who 27 00:01:41,520 --> 00:01:46,000 Speaker 1: are underpaid. Fixing that cost the company another three million dollars. 28 00:01:46,640 --> 00:01:49,840 Speaker 1: Here's Cindy Robbins, the head of HR at Salesforce. That 29 00:01:50,040 --> 00:01:52,920 Speaker 1: second year was also a big learning for us because 30 00:01:53,640 --> 00:01:56,720 Speaker 1: it was a year that we had just finished acquiring 31 00:01:57,400 --> 00:02:01,000 Speaker 1: some of our biggest acquisitions, four team companies that we 32 00:02:01,040 --> 00:02:05,560 Speaker 1: acquire the previous year. So when you acquire fourteen companies, 33 00:02:05,960 --> 00:02:09,560 Speaker 1: you acquire also their pay practices. So they keep bumping 34 00:02:09,639 --> 00:02:12,480 Speaker 1: up people's salaries. But are they doing anything to keep 35 00:02:12,560 --> 00:02:16,040 Speaker 1: the paygap from coming back again and again? Yeah, they are. 36 00:02:16,560 --> 00:02:19,560 Speaker 1: They figured out that those eleven percent of people, a 37 00:02:19,600 --> 00:02:21,359 Speaker 1: lot of them were new to the company and had 38 00:02:21,360 --> 00:02:26,080 Speaker 1: basically arrived at Salesforce already underpaid, and Salesforce had been 39 00:02:26,240 --> 00:02:29,280 Speaker 1: naively basing their salaries off their old ones. Are recruiting 40 00:02:29,360 --> 00:02:34,040 Speaker 1: organization is no longer asking the question what is your 41 00:02:34,040 --> 00:02:37,840 Speaker 1: current compensation. Now it's what is a compensation you expect, 42 00:02:38,440 --> 00:02:42,400 Speaker 1: which is making candidates pause and think about it, And 43 00:02:42,639 --> 00:02:44,920 Speaker 1: we're not forcing them to answer it on the spot. 44 00:02:45,000 --> 00:02:47,320 Speaker 1: They may need some time to do their own level 45 00:02:47,320 --> 00:02:50,160 Speaker 1: of research and come back to us. Yeah, but asking 46 00:02:50,200 --> 00:02:52,880 Speaker 1: someone what they think they should make still puts the 47 00:02:52,880 --> 00:02:56,920 Speaker 1: burden on them to say what they deserve exactly. And 48 00:02:56,960 --> 00:02:59,839 Speaker 1: if you're underpaid but don't know it, you might low 49 00:03:00,000 --> 00:03:03,440 Speaker 1: all your own offer. So it's not a perfect solution. No, 50 00:03:04,240 --> 00:03:07,560 Speaker 1: And when they did the analysis again this year, Salesforce 51 00:03:07,560 --> 00:03:11,800 Speaker 1: found another six percent gap, costing another two point seven 52 00:03:11,840 --> 00:03:14,960 Speaker 1: million dollars. Part of the problem is that there's so 53 00:03:15,000 --> 00:03:18,000 Speaker 1: many factors that go into creating the pay gap, Plus 54 00:03:18,040 --> 00:03:21,200 Speaker 1: Cindy keeps thinking of new factors to add to her analysis. 55 00:03:21,560 --> 00:03:24,040 Speaker 1: I never thought to myself, oh, should I look at 56 00:03:24,080 --> 00:03:27,040 Speaker 1: how we distribute merit? Oh should I look at how 57 00:03:27,080 --> 00:03:30,680 Speaker 1: we distribute promotions at the beginning of the year, by gender, 58 00:03:30,960 --> 00:03:34,800 Speaker 1: by pay practices. It sounds like Salesforce is trying and 59 00:03:34,920 --> 00:03:38,520 Speaker 1: has made some strides, but it hasn't fixed the pay gap. No, 60 00:03:39,560 --> 00:03:42,200 Speaker 1: and the company doesn't expect to fix it as then 61 00:03:42,360 --> 00:03:46,520 Speaker 1: eliminate the entire issue. Anytime soon. The pay gap is 62 00:03:46,560 --> 00:03:48,880 Speaker 1: just a numerical reflection of the way or society and 63 00:03:48,920 --> 00:03:52,680 Speaker 1: economy are set up. No matter what size your company is, 64 00:03:52,840 --> 00:03:54,800 Speaker 1: you're probably going to encounter at least some of the 65 00:03:54,840 --> 00:03:57,480 Speaker 1: factors that lead to the pay gap. That's something Cindy 66 00:03:57,520 --> 00:04:00,200 Speaker 1: says has been hard for people to understand. You know, 67 00:04:00,360 --> 00:04:02,280 Speaker 1: do we still want to be fixing six percent of 68 00:04:02,320 --> 00:04:06,280 Speaker 1: the population. No, But you know, it's an audit and 69 00:04:07,160 --> 00:04:10,920 Speaker 1: data is being inputed, Assumptions sometimes are being made. I 70 00:04:10,960 --> 00:04:13,880 Speaker 1: think you're always going to have to do the audit 71 00:04:13,920 --> 00:04:16,680 Speaker 1: every single year, and that they're always there's always going 72 00:04:16,720 --> 00:04:18,760 Speaker 1: to be some level of room for error, and that's 73 00:04:18,800 --> 00:04:21,120 Speaker 1: the error you want to identify and you want to fix. 74 00:04:21,240 --> 00:04:25,919 Speaker 1: But our systems perfect to ensure that we are paying 75 00:04:25,960 --> 00:04:30,080 Speaker 1: everyone equally, not yet, and that's what we're working on. 76 00:04:35,080 --> 00:04:37,680 Speaker 1: When you look at the world, you know what the 77 00:04:37,720 --> 00:04:41,239 Speaker 1: population like, Where is our place like? Where is our value? 78 00:04:41,360 --> 00:04:45,800 Speaker 1: Women deserve equal for equal work and nation one, the 79 00:04:45,839 --> 00:04:49,520 Speaker 1: median salary for men is greater than women in nine 80 00:04:50,000 --> 00:04:55,320 Speaker 1: point six percent of major occupations women do they want. 81 00:04:56,000 --> 00:04:59,240 Speaker 1: We want to end gender inequality, and to do this 82 00:04:59,800 --> 00:05:04,760 Speaker 1: we need everyone involved. It's a concept called information a symmetry. 83 00:05:04,880 --> 00:05:06,440 Speaker 1: If you don't know what the going rate is for 84 00:05:06,480 --> 00:05:09,200 Speaker 1: your salary, it's easier for the company to rip you off. 85 00:05:09,560 --> 00:05:14,560 Speaker 1: Girl Power equalization between the sexy. I ask no favor 86 00:05:14,680 --> 00:05:17,919 Speaker 1: for my sex. All I ask of our reden is 87 00:05:17,960 --> 00:05:24,400 Speaker 1: that they take their feet or fur lex. Welcome back 88 00:05:24,400 --> 00:05:30,040 Speaker 1: to the paycheck. I'm Rebecca Greenfield. Salesforces struggle brings up 89 00:05:30,080 --> 00:05:34,200 Speaker 1: an important point about fixing the pay gap. One company 90 00:05:34,279 --> 00:05:37,680 Speaker 1: paying women more money is like taking advil for a 91 00:05:37,720 --> 00:05:41,800 Speaker 1: broken bone. The pain is going to come back until 92 00:05:41,880 --> 00:05:45,520 Speaker 1: the bone heals. That's why Salesforce has to do it's 93 00:05:45,520 --> 00:05:49,080 Speaker 1: pay audits year after year. It doesn't exist in a vacuum, 94 00:05:49,560 --> 00:05:52,720 Speaker 1: and it also only addresses one facet of the pay gap, 95 00:05:53,320 --> 00:05:56,440 Speaker 1: not the issue of the highest paying jobs generally being 96 00:05:56,480 --> 00:05:59,960 Speaker 1: held by men. But there are solutions to the pay 97 00:06:00,080 --> 00:06:04,839 Speaker 1: gap that attempt to heal the bone. Take how Salesforce 98 00:06:04,920 --> 00:06:07,480 Speaker 1: no longer asks new hires what they made at their 99 00:06:07,520 --> 00:06:11,799 Speaker 1: previous jobs. Women tend to start out at lower salaries 100 00:06:11,800 --> 00:06:15,279 Speaker 1: than men, so basing salaries on what people were paid 101 00:06:15,320 --> 00:06:20,520 Speaker 1: before only perpetuates that inequality. They're about a dozen places, 102 00:06:20,560 --> 00:06:24,520 Speaker 1: including Massachusetts, California, and New York City, where asking about 103 00:06:24,520 --> 00:06:29,600 Speaker 1: a job applicants previous salary is illegal. But the solution 104 00:06:29,760 --> 00:06:33,040 Speaker 1: isn't perfect. Like I talked about with Player, women can 105 00:06:33,080 --> 00:06:35,640 Speaker 1: still end up making less than men for other reasons. 106 00:06:36,240 --> 00:06:39,120 Speaker 1: They might low ball their offers, they might be perceived 107 00:06:39,200 --> 00:06:42,600 Speaker 1: as too aggressive during a negotiation. They might still not 108 00:06:42,680 --> 00:06:45,839 Speaker 1: ask for enough money. But there's more than one way 109 00:06:45,880 --> 00:06:49,760 Speaker 1: to treat paid disparities at a deeper level, like total 110 00:06:50,000 --> 00:06:54,800 Speaker 1: salary transparency. If everyone knew how much everyone else was making, 111 00:06:55,400 --> 00:06:58,000 Speaker 1: then it would be tough for employers to get away 112 00:06:58,040 --> 00:07:02,160 Speaker 1: with paying certain people less for no reason. And if 113 00:07:02,200 --> 00:07:04,640 Speaker 1: you know what you could be making, you're more likely 114 00:07:04,720 --> 00:07:09,440 Speaker 1: to ask for what you deserve. Total pay transparency is 115 00:07:09,600 --> 00:07:14,160 Speaker 1: kind of extreme. People generally don't like talking about money, 116 00:07:14,200 --> 00:07:17,960 Speaker 1: and right now employers take advantage of that. It allows 117 00:07:17,960 --> 00:07:20,440 Speaker 1: them to keep a chunk of salaries below market rate, 118 00:07:20,880 --> 00:07:24,320 Speaker 1: and that saves the money. One person who refuses to 119 00:07:24,320 --> 00:07:28,120 Speaker 1: buy into that social taboo is Jen Schiffer. She's a 120 00:07:28,160 --> 00:07:30,680 Speaker 1: software engineer in New York, and she talks about her 121 00:07:30,720 --> 00:07:34,080 Speaker 1: salary about as freely as other New Yorkers talk about 122 00:07:34,120 --> 00:07:39,760 Speaker 1: real estate prices. But I've always been super like transparent 123 00:07:39,840 --> 00:07:42,680 Speaker 1: with people who asked me to be with my salary, 124 00:07:42,960 --> 00:07:45,280 Speaker 1: which kind of got me in trouble of my last 125 00:07:45,400 --> 00:07:49,440 Speaker 1: job without like Trump, troubles of fake idea. But I 126 00:07:49,520 --> 00:07:52,040 Speaker 1: did have coworkers who are upset at how much I 127 00:07:52,120 --> 00:07:56,360 Speaker 1: was talking about and trying to talk about. Luckily, Jen 128 00:07:56,440 --> 00:07:59,560 Speaker 1: now works at fog Creek, a small software company that 129 00:07:59,680 --> 00:08:04,480 Speaker 1: last to your instituted a policy known as radical pay transparency, 130 00:08:04,720 --> 00:08:08,120 Speaker 1: everyone within a company knowing what everyone else is making 131 00:08:08,360 --> 00:08:15,120 Speaker 1: more or less. I decided to investigate, you know, for 132 00:08:15,240 --> 00:08:19,440 Speaker 1: me at a personal level, it was about treating workers right. 133 00:08:20,960 --> 00:08:23,600 Speaker 1: That's a Neil dash the CEO of fog Creek. He 134 00:08:23,640 --> 00:08:27,400 Speaker 1: took over the company in December. He came with a 135 00:08:27,440 --> 00:08:30,880 Speaker 1: mission to make fog Creek and tech in general more 136 00:08:30,920 --> 00:08:34,160 Speaker 1: fair to people, regardless of gender or race. You know, 137 00:08:34,200 --> 00:08:36,240 Speaker 1: I grew up in a household with you know, my 138 00:08:36,280 --> 00:08:39,000 Speaker 1: mom being in the union her whole life, and and 139 00:08:39,120 --> 00:08:42,480 Speaker 1: you know, understanding the importance of respecting workers. I don't 140 00:08:42,480 --> 00:08:46,720 Speaker 1: think it's any secreted women and other underrepresented groups in 141 00:08:46,880 --> 00:08:50,920 Speaker 1: tech that end up trying to negotiate their way to 142 00:08:51,040 --> 00:08:53,959 Speaker 1: face fair salaries may or may not get there and 143 00:08:54,240 --> 00:08:56,720 Speaker 1: really sort of ending up behind right when they start, 144 00:08:56,880 --> 00:09:00,240 Speaker 1: and that permanently impacts the trajectory of your whole things 145 00:09:00,280 --> 00:09:04,800 Speaker 1: over your lifetime. The company only has about three dozen employees, 146 00:09:04,960 --> 00:09:10,320 Speaker 1: but still that's no guarantee people were being paid fairly. Transparency, 147 00:09:10,440 --> 00:09:14,000 Speaker 1: in theory, would not only reveal any pain equalities that 148 00:09:14,040 --> 00:09:17,040 Speaker 1: had cropped up in the twenty years fog Creek existed 149 00:09:17,080 --> 00:09:20,480 Speaker 1: before and Neil got there, it would also help ensure 150 00:09:20,520 --> 00:09:23,640 Speaker 1: that things stayed equal over the long term by holding 151 00:09:23,640 --> 00:09:27,240 Speaker 1: the company accountable. Here's Jessica Moy, the head of culture, 152 00:09:27,320 --> 00:09:29,599 Speaker 1: which is like hr at fog Creek. I was a 153 00:09:29,640 --> 00:09:32,960 Speaker 1: little nervous that going from you know, not transparency to 154 00:09:32,960 --> 00:09:35,559 Speaker 1: transparency it was going to kind of like create adverse 155 00:09:35,600 --> 00:09:39,600 Speaker 1: reactions for certain people because I just didn't know. I mean, 156 00:09:39,640 --> 00:09:44,360 Speaker 1: people reactively differently to sharing financial information and people's level 157 00:09:44,360 --> 00:09:48,560 Speaker 1: of comfortability. It's very different. Like I said, people don't 158 00:09:48,600 --> 00:09:51,880 Speaker 1: like talking about money, people who make too much money 159 00:09:51,960 --> 00:09:54,679 Speaker 1: don't want to feel guilty about it, and people not 160 00:09:54,760 --> 00:09:58,600 Speaker 1: making enough don't want to feel like dupes. That's why 161 00:09:58,640 --> 00:10:02,520 Speaker 1: fog Creek decided to take transparency slow, and Neil sent 162 00:10:02,520 --> 00:10:05,439 Speaker 1: out a survey asking people what kind of salary information 163 00:10:05,480 --> 00:10:09,040 Speaker 1: they'd be okay with sharing. He found out not everyone 164 00:10:09,200 --> 00:10:12,839 Speaker 1: was as enthusiastic about pay transparency as he was. There 165 00:10:12,840 --> 00:10:14,440 Speaker 1: were some people that were just sort of like, I 166 00:10:14,480 --> 00:10:16,440 Speaker 1: don't know how I feel about this. I've never encountered 167 00:10:16,440 --> 00:10:19,200 Speaker 1: this question before. I don't know what the implications are 168 00:10:19,240 --> 00:10:21,640 Speaker 1: about talking about my pay and and and in some 169 00:10:21,679 --> 00:10:23,640 Speaker 1: cases really going deep into it with some of our 170 00:10:23,679 --> 00:10:25,120 Speaker 1: team members, and they were like, you know, my family 171 00:10:25,160 --> 00:10:27,640 Speaker 1: has never talked about pay, and I'm you know, I'm 172 00:10:27,640 --> 00:10:30,520 Speaker 1: worried about like open salary transparency because like my brother 173 00:10:30,559 --> 00:10:32,280 Speaker 1: and I don't know what each other makes, and like 174 00:10:32,320 --> 00:10:34,400 Speaker 1: I don't want that to be awkward at Thanksgiving. Even 175 00:10:34,480 --> 00:10:37,720 Speaker 1: gen Scheffer, who talked a big game about salary transparency, 176 00:10:37,960 --> 00:10:42,280 Speaker 1: had some anxiety. I'm like, are there other engineers here 177 00:10:42,320 --> 00:10:45,520 Speaker 1: comparing themselves to me? And if they find out I'm 178 00:10:45,559 --> 00:10:49,360 Speaker 1: making like more than them, will they feel slight? And 179 00:10:49,440 --> 00:10:53,439 Speaker 1: if I'm making less than them, will they feel like 180 00:10:54,480 --> 00:10:57,439 Speaker 1: that's fair? Like I I don't know, Like I don't know. 181 00:10:57,480 --> 00:10:59,520 Speaker 1: I'm the I'm the only woman on my team, and 182 00:10:59,559 --> 00:11:03,480 Speaker 1: so there's not many women engineers at the company. I 183 00:11:03,960 --> 00:11:07,800 Speaker 1: am always very insecure about whether guys I work with 184 00:11:07,920 --> 00:11:12,040 Speaker 1: or alongside, would think that I am as valuable as 185 00:11:12,360 --> 00:11:15,800 Speaker 1: a company says I am. Still not a single person 186 00:11:15,880 --> 00:11:19,800 Speaker 1: said they preferred the status quo. The company wanted more 187 00:11:19,840 --> 00:11:24,000 Speaker 1: pay transparency. The next step before telling anybody anything about 188 00:11:24,000 --> 00:11:26,640 Speaker 1: what their colleagues were making was to do an internal 189 00:11:26,679 --> 00:11:30,800 Speaker 1: audit of compensation at fog Creek, and we found that 190 00:11:30,880 --> 00:11:34,280 Speaker 1: we had inequities. I mean, I think any any company 191 00:11:34,320 --> 00:11:36,280 Speaker 1: that's been around for more than five minutes is going 192 00:11:36,360 --> 00:11:39,000 Speaker 1: to if they're being honest. And Neil used the data 193 00:11:39,080 --> 00:11:42,400 Speaker 1: to help and figure out what constituted fair pay. In 194 00:11:42,440 --> 00:11:45,920 Speaker 1: the first place. He looked at what people on each 195 00:11:45,920 --> 00:11:49,600 Speaker 1: team we're making, and then he compared that information for 196 00:11:49,679 --> 00:11:52,880 Speaker 1: similar positions that he found on sites like pay scale. 197 00:11:53,760 --> 00:11:56,080 Speaker 1: Using all of that, he decided on a range that 198 00:11:56,160 --> 00:11:59,680 Speaker 1: made sense for each job title. I was curious to 199 00:11:59,720 --> 00:12:02,960 Speaker 1: know if, as expected, women had ended up making less 200 00:12:02,960 --> 00:12:05,360 Speaker 1: than men. Yeah. I think the majority of people that 201 00:12:05,400 --> 00:12:07,240 Speaker 1: were at the high end of the range or men 202 00:12:07,400 --> 00:12:09,240 Speaker 1: for sure, But I think the people that weren't the 203 00:12:09,240 --> 00:12:11,280 Speaker 1: low end of the range two were also men. So like, 204 00:12:11,320 --> 00:12:14,160 Speaker 1: it's probably reflecting more the fact that we don't have 205 00:12:14,559 --> 00:12:16,800 Speaker 1: as good a gender balance as you should to men 206 00:12:16,800 --> 00:12:18,679 Speaker 1: are over indexed on both the high end low end 207 00:12:18,720 --> 00:12:22,439 Speaker 1: of the spectrum. He raised the salaries of two people 208 00:12:22,480 --> 00:12:25,679 Speaker 1: he found out weren't making enough money even before making 209 00:12:25,720 --> 00:12:28,280 Speaker 1: all the pay data public, But there were also some 210 00:12:28,320 --> 00:12:31,240 Speaker 1: people he found who were making too much money. Those 211 00:12:31,280 --> 00:12:35,680 Speaker 1: people got to stay where they were rather than go 212 00:12:35,800 --> 00:12:39,520 Speaker 1: for truly radical pay transparency. Bog Creek decided to share 213 00:12:39,720 --> 00:12:43,560 Speaker 1: just those salary ranges with no names attached, just job titles, 214 00:12:44,160 --> 00:12:47,480 Speaker 1: and Neil wouldn't tell me what those were exactly, But 215 00:12:47,679 --> 00:12:50,520 Speaker 1: finally last September he was ready to share them with 216 00:12:50,559 --> 00:12:52,480 Speaker 1: the rest of the company. At one of their monthly 217 00:12:52,600 --> 00:12:56,480 Speaker 1: town hall meetings, he gathered everyone together. Some people were 218 00:12:56,520 --> 00:12:59,480 Speaker 1: actually in the office but others were remote, and he 219 00:12:59,520 --> 00:13:04,160 Speaker 1: put all the data up on the screen and there 220 00:13:04,280 --> 00:13:08,160 Speaker 1: wasn't a mutiny, but not everyone was happy. You know, 221 00:13:08,320 --> 00:13:10,480 Speaker 1: some stuff we screwed up, Like we have some departments 222 00:13:10,480 --> 00:13:13,120 Speaker 1: as a small company that are one person, so we 223 00:13:13,280 --> 00:13:16,680 Speaker 1: listed a salary range for the role of the only 224 00:13:16,720 --> 00:13:19,120 Speaker 1: person in that department and they're like, okay, well, my 225 00:13:19,200 --> 00:13:21,760 Speaker 1: salary is basically out there like everybody else is in 226 00:13:21,760 --> 00:13:23,520 Speaker 1: a team, and it's a range. But they're like, if 227 00:13:23,840 --> 00:13:25,800 Speaker 1: if this is the only person in this role, everybody 228 00:13:25,800 --> 00:13:28,319 Speaker 1: knows exactly what I make to within a five thousand 229 00:13:28,360 --> 00:13:31,600 Speaker 1: dollar band. Jessica moy was one of the people who 230 00:13:31,800 --> 00:13:35,640 Speaker 1: didn't have anonymity. I'm the only person in my position, 231 00:13:35,720 --> 00:13:40,320 Speaker 1: so it's pretty clear, like my this is Jessica's Valerie band, 232 00:13:40,480 --> 00:13:43,280 Speaker 1: and everyone knows that's my job. And I never had 233 00:13:43,400 --> 00:13:45,920 Speaker 1: any issue with that, So for me, it wasn't like 234 00:13:45,960 --> 00:13:48,800 Speaker 1: a thing to process. I was like, this is what 235 00:13:48,840 --> 00:13:52,720 Speaker 1: I make. Even though Jessica didn't mind that everyone knew 236 00:13:52,720 --> 00:13:56,120 Speaker 1: her salary, you can see why some people might. Jun 237 00:13:56,200 --> 00:13:58,560 Speaker 1: Scheffer was also in a range of her own, but 238 00:13:58,800 --> 00:14:01,320 Speaker 1: she had a different problem him. I think it was like, 239 00:14:01,679 --> 00:14:04,280 Speaker 1: some of these ranges are pretty wide, but I would 240 00:14:04,320 --> 00:14:08,640 Speaker 1: feel more comfortable of bringing in other underrepresented people into 241 00:14:08,640 --> 00:14:11,280 Speaker 1: the company once I know it's like completely fair and 242 00:14:11,400 --> 00:14:14,720 Speaker 1: Neil knows he has more work to do. To Jen's point, 243 00:14:14,840 --> 00:14:17,679 Speaker 1: after the town hall, fog Creek decided to put salary 244 00:14:17,800 --> 00:14:21,080 Speaker 1: ranges on all of its job postings so that people 245 00:14:21,160 --> 00:14:23,640 Speaker 1: know they're getting hired on a level playing field. You 246 00:14:23,720 --> 00:14:25,840 Speaker 1: can't build trust just by saying trust me and not 247 00:14:25,880 --> 00:14:29,280 Speaker 1: showing anybody the work, especially in in tech, whereas so 248 00:14:29,320 --> 00:14:31,680 Speaker 1: many people have come from other companies that weren't treating 249 00:14:31,720 --> 00:14:35,120 Speaker 1: them right there weren't weren't you know, being fair to them, UM, 250 00:14:35,160 --> 00:14:39,120 Speaker 1: and so transparency is just the foundation upon which you 251 00:14:39,200 --> 00:14:43,440 Speaker 1: build a relationship between an employer and a worker that 252 00:14:43,600 --> 00:14:46,560 Speaker 1: is trusting. And you know, we try to do that 253 00:14:46,560 --> 00:14:50,080 Speaker 1: and everything we do. Given how much anil believes in 254 00:14:50,160 --> 00:14:53,760 Speaker 1: pay transparency, I asked him how transparent he planned to 255 00:14:53,760 --> 00:14:57,440 Speaker 1: be with his own salary. It was absurd because I said, 256 00:14:57,840 --> 00:14:59,600 Speaker 1: this is the range that I make the bottom of it. 257 00:14:59,680 --> 00:15:04,080 Speaker 1: So I like, UM, made a structure for any future CEO. 258 00:15:04,200 --> 00:15:06,240 Speaker 1: I guess, but I was. I just sort of disclosed 259 00:15:06,280 --> 00:15:08,840 Speaker 1: my personal salary because I was like, I don't I 260 00:15:08,920 --> 00:15:10,600 Speaker 1: want to model the thing I want people to feel 261 00:15:10,600 --> 00:15:18,040 Speaker 1: comfortable doing. Up to now, we've just been trying to 262 00:15:18,120 --> 00:15:21,040 Speaker 1: solve the pay gap by looking at the numbers. But 263 00:15:21,080 --> 00:15:22,840 Speaker 1: there are all kinds of things that happen at the 264 00:15:22,880 --> 00:15:25,640 Speaker 1: office and at different points in women's careers that make 265 00:15:25,640 --> 00:15:27,800 Speaker 1: a big difference over time in the amount of money 266 00:15:27,880 --> 00:15:31,239 Speaker 1: they make. And the biggest thing of all is motherhood. 267 00:15:32,240 --> 00:15:35,000 Speaker 1: Nothing trash is your earning potential, like having a kid. 268 00:15:36,560 --> 00:15:39,160 Speaker 1: Men and women start their careers making about the same 269 00:15:39,200 --> 00:15:42,240 Speaker 1: amount of money, But the pay gap really starts to 270 00:15:42,280 --> 00:15:44,800 Speaker 1: show up when men and women hit their late twenties. 271 00:15:45,440 --> 00:15:48,600 Speaker 1: That is, when employers think women are about to have kids. 272 00:15:49,360 --> 00:15:51,360 Speaker 1: One study found that the bulk of the pay gap 273 00:15:51,440 --> 00:15:54,640 Speaker 1: happens between ages twenty six and thirty three for college 274 00:15:54,760 --> 00:15:58,280 Speaker 1: educated women. And this isn't just because women cut back 275 00:15:58,280 --> 00:16:01,560 Speaker 1: their hours to pick up slack at home. Mothers make 276 00:16:01,640 --> 00:16:05,440 Speaker 1: proportionately less than men based on ours worked, research has found. 277 00:16:06,080 --> 00:16:08,960 Speaker 1: So what if we could do something about that, make 278 00:16:09,000 --> 00:16:11,680 Speaker 1: sure women could have kids and keep earning as much 279 00:16:11,680 --> 00:16:15,640 Speaker 1: money as their male colleagues. Adobe, the San Jose based 280 00:16:15,680 --> 00:16:19,080 Speaker 1: company that makes design software and also the flash plug 281 00:16:19,120 --> 00:16:22,240 Speaker 1: in you used to watch videos on the internet, last 282 00:16:22,320 --> 00:16:24,800 Speaker 1: year announced that they closed their gender pay gap one 283 00:16:25,360 --> 00:16:28,640 Speaker 1: percent in the US. That's for men and women doing 284 00:16:28,680 --> 00:16:31,880 Speaker 1: the same jobs, But that still doesn't mean the working 285 00:16:31,960 --> 00:16:35,840 Speaker 1: environment was perfectly equal, especially for women and men who 286 00:16:35,840 --> 00:16:40,600 Speaker 1: have kids. My colleague Ellen Hewitt explains, Caitlin Azzie works 287 00:16:40,600 --> 00:16:43,240 Speaker 1: at Adobe as a recruiter, but right now she's on 288 00:16:43,320 --> 00:16:47,400 Speaker 1: maternity leave. So Dylan was born on New Year's Eve, 289 00:16:47,800 --> 00:16:49,760 Speaker 1: so she squeaked in there. We got the tax right 290 00:16:49,800 --> 00:16:54,600 Speaker 1: off and everything. So and she was ten pounds six ounces, 291 00:16:54,800 --> 00:16:57,720 Speaker 1: huge baby. Yeah, we have big babies in our family. 292 00:16:58,080 --> 00:17:01,560 Speaker 1: Both men and women at Adobe get sixteen weeks of 293 00:17:01,600 --> 00:17:04,800 Speaker 1: paid paternal or maternal leave, regardless of whether they're the 294 00:17:04,840 --> 00:17:08,720 Speaker 1: primary caregiver. Birth Mothers get an additional ten weeks of 295 00:17:08,760 --> 00:17:12,639 Speaker 1: medical leave. That's compared to less than six weeks at 296 00:17:12,680 --> 00:17:15,639 Speaker 1: the average private company in the US that offers paid 297 00:17:15,720 --> 00:17:19,280 Speaker 1: leave for a new child, so already they're doing pretty well. 298 00:17:19,800 --> 00:17:22,600 Speaker 1: On top of that, the company gives employees the option 299 00:17:22,760 --> 00:17:25,719 Speaker 1: to take a more flexible work schedule, like when they 300 00:17:25,760 --> 00:17:29,400 Speaker 1: come back from leave. They call it Adobe Flex Time. 301 00:17:32,480 --> 00:17:40,480 Speaker 1: This is Ellen Ellen. I met with Caitlin along with 302 00:17:40,640 --> 00:17:45,440 Speaker 1: Rosemary Arianta Keiper, who oversees the flex Time program. Here's Caitlin. 303 00:17:45,920 --> 00:17:47,679 Speaker 1: I'm learning with me in a new mom It's like 304 00:17:47,720 --> 00:17:50,040 Speaker 1: you can plan for the you know, every single thing, 305 00:17:50,359 --> 00:17:52,719 Speaker 1: but nothing really goes to plan. So just having it 306 00:17:52,880 --> 00:17:55,000 Speaker 1: be you know, maybe I need to work from home 307 00:17:55,119 --> 00:17:57,280 Speaker 1: a couple of times a month, or you know, three 308 00:17:57,320 --> 00:18:00,480 Speaker 1: times in this one week, or just having that to 309 00:18:00,560 --> 00:18:03,640 Speaker 1: me is really really I can see be very helpful 310 00:18:03,640 --> 00:18:06,600 Speaker 1: when I return back to work, coming back to work 311 00:18:06,640 --> 00:18:09,800 Speaker 1: after having a child can be really hard, no matter 312 00:18:09,920 --> 00:18:12,719 Speaker 1: how much time you got from eternity leave, you're just 313 00:18:12,760 --> 00:18:14,720 Speaker 1: starting to figure out what being a mom is like, 314 00:18:15,440 --> 00:18:17,639 Speaker 1: or how to juggle caring for the kids you already 315 00:18:17,720 --> 00:18:20,919 Speaker 1: have plus the infant you just brought home. Without the 316 00:18:20,920 --> 00:18:24,679 Speaker 1: flexibility to ease back into full time work, some women 317 00:18:24,800 --> 00:18:28,240 Speaker 1: might decide to downshift to part time, which drastically limits 318 00:18:28,240 --> 00:18:31,399 Speaker 1: their earning potential. That usually involves a job switch, and 319 00:18:31,400 --> 00:18:33,200 Speaker 1: if going back to your old job with a new 320 00:18:33,240 --> 00:18:36,760 Speaker 1: baby is difficult, finding a new job is much much harder, 321 00:18:37,600 --> 00:18:39,879 Speaker 1: especially when you factor in the cost of daycare. In 322 00:18:39,920 --> 00:18:43,000 Speaker 1: the US, lots of women decide that it's just too 323 00:18:43,080 --> 00:18:47,000 Speaker 1: much and stay home for good. When Caitlin comes back 324 00:18:47,000 --> 00:18:49,359 Speaker 1: to work this month, she plans to take a day 325 00:18:49,440 --> 00:18:51,880 Speaker 1: each week to work from home so she can spend 326 00:18:51,920 --> 00:18:55,600 Speaker 1: the afternoons with her daughter. Adobe has offered the flex 327 00:18:55,680 --> 00:18:58,159 Speaker 1: time option for years, but it was only in the 328 00:18:58,280 --> 00:19:01,159 Speaker 1: last year that they started promote doing it internally and 329 00:19:01,280 --> 00:19:04,320 Speaker 1: training managers how to talk to their employees about it. 330 00:19:05,200 --> 00:19:08,359 Speaker 1: For Caitlin, that was a hugely important change. She was 331 00:19:08,400 --> 00:19:10,919 Speaker 1: already nearing her due date by the time she found 332 00:19:10,920 --> 00:19:15,480 Speaker 1: out the option existed. I think, um, before they rolled 333 00:19:15,520 --> 00:19:18,320 Speaker 1: out this program and the framework was more standardized, I 334 00:19:18,359 --> 00:19:21,840 Speaker 1: don't necessarily think people first knew that this was an option. 335 00:19:21,920 --> 00:19:24,360 Speaker 1: I think it gives people, at least me, a little 336 00:19:24,359 --> 00:19:27,439 Speaker 1: bit more of empowerment to think about what I need first. 337 00:19:27,880 --> 00:19:30,280 Speaker 1: Before they rolled it out, I just assumed I'd come 338 00:19:30,280 --> 00:19:32,359 Speaker 1: back full time and you know, you would be a 339 00:19:32,440 --> 00:19:34,600 Speaker 1: hard couple of weeks and then you just get thrown 340 00:19:34,600 --> 00:19:37,520 Speaker 1: back in and that's that. And um, that was sort 341 00:19:37,520 --> 00:19:40,280 Speaker 1: of my assumption. And so I just don't think people 342 00:19:40,720 --> 00:19:43,520 Speaker 1: want to ask for for more unless they, you know, 343 00:19:43,600 --> 00:19:46,320 Speaker 1: unless it's something that they can say, hey, it's a 344 00:19:46,640 --> 00:19:49,360 Speaker 1: point to a policy or point to something that's more normalized, 345 00:19:49,680 --> 00:19:51,159 Speaker 1: because I think there is a you know, there is 346 00:19:51,200 --> 00:19:53,760 Speaker 1: always pressure to be here if you can and things 347 00:19:53,800 --> 00:19:58,040 Speaker 1: like that. Rosemary knows that pressure well. As the vice 348 00:19:58,080 --> 00:20:01,440 Speaker 1: president of Global Rewards for a OBI. She knew that 349 00:20:01,600 --> 00:20:04,400 Speaker 1: even though the option for a flexible schedule was out there, 350 00:20:04,880 --> 00:20:07,679 Speaker 1: a lot of people who might benefit from it weren't 351 00:20:07,680 --> 00:20:10,679 Speaker 1: taking it. Yeah, I think there was the sentiment of 352 00:20:11,240 --> 00:20:14,359 Speaker 1: not realizing that they could take it. It does seem 353 00:20:14,480 --> 00:20:17,399 Speaker 1: to give permission and lend itself to the ability to 354 00:20:17,400 --> 00:20:20,200 Speaker 1: be able to say, look, this is documented somewhere, it's 355 00:20:20,280 --> 00:20:23,320 Speaker 1: kind of a formal policy. They're promoted. So it does 356 00:20:23,359 --> 00:20:25,960 Speaker 1: seem to give more permission to individuals to feel like 357 00:20:26,000 --> 00:20:28,560 Speaker 1: they can ask for it. You know, oftentimes the type 358 00:20:28,560 --> 00:20:31,280 Speaker 1: of relationship you have with a manager and kind of 359 00:20:30,720 --> 00:20:33,800 Speaker 1: the value system or or what they believe is important 360 00:20:33,840 --> 00:20:38,080 Speaker 1: dictates oftentimes how much they're willing to provide flexibility. And 361 00:20:38,320 --> 00:20:42,360 Speaker 1: what we realized was in some organizations it happened seamlessly, 362 00:20:42,560 --> 00:20:46,359 Speaker 1: it wasn't an issue, and in others, um managers weren't 363 00:20:46,400 --> 00:20:48,960 Speaker 1: as willing um to do it because they felt like 364 00:20:49,000 --> 00:20:52,120 Speaker 1: they had demands or or weren't sure how they could 365 00:20:52,400 --> 00:20:57,080 Speaker 1: um manage the program equitably across the organization. Since making 366 00:20:57,119 --> 00:21:00,480 Speaker 1: Adobe flex time more of a formal policy less September, 367 00:21:00,840 --> 00:21:03,840 Speaker 1: Adobe has seen a ten increase in the number of 368 00:21:03,880 --> 00:21:07,879 Speaker 1: people choosing it. Rosemary says that the more normal a 369 00:21:07,920 --> 00:21:11,400 Speaker 1: flexible work schedule seems, the less likely it is that 370 00:21:11,520 --> 00:21:14,760 Speaker 1: people who take advantage of it will be implicitly penalized 371 00:21:14,800 --> 00:21:19,160 Speaker 1: for doing so. Because here's what's worrisome right now. Even 372 00:21:19,200 --> 00:21:22,119 Speaker 1: though both parental leave and flex time are offered to 373 00:21:22,240 --> 00:21:26,120 Speaker 1: men and women, men are still taking way less time off. 374 00:21:26,600 --> 00:21:28,679 Speaker 1: What we're seeing is is most men, on average are 375 00:21:28,720 --> 00:21:31,520 Speaker 1: taking closer to one month. And the feedback that we've 376 00:21:31,560 --> 00:21:35,040 Speaker 1: got is is is because you know I've got we 377 00:21:35,080 --> 00:21:37,600 Speaker 1: don't both need to be at home. Is essentially the 378 00:21:37,640 --> 00:21:39,960 Speaker 1: response that we've gotten, even though they both have the 379 00:21:40,000 --> 00:21:42,760 Speaker 1: ability to be at home. The point of encouraging men 380 00:21:42,840 --> 00:21:46,080 Speaker 1: to use programs like parental leave and flex time isn't 381 00:21:46,160 --> 00:21:48,960 Speaker 1: just so that women have some help at home, although 382 00:21:48,960 --> 00:21:52,199 Speaker 1: it's that too. The point is so that women and 383 00:21:52,280 --> 00:21:56,199 Speaker 1: men share the burden of childcare more equally, including the 384 00:21:56,240 --> 00:21:59,680 Speaker 1: workplace penalties that come with it. When you miss a 385 00:21:59,760 --> 00:22:03,000 Speaker 1: may your career opportunity because you're at home taking care 386 00:22:03,000 --> 00:22:06,879 Speaker 1: of the kids. That can be frustrating. But right now, 387 00:22:07,040 --> 00:22:09,720 Speaker 1: women still do twice as much of the childcare in 388 00:22:09,720 --> 00:22:13,439 Speaker 1: the US. That means that those missed opportunities are falling 389 00:22:13,560 --> 00:22:17,840 Speaker 1: disproportionately on them. I'd love to see more men start 390 00:22:17,880 --> 00:22:20,840 Speaker 1: taking the time off right and taking advantage of these programs, 391 00:22:20,880 --> 00:22:24,040 Speaker 1: because I think that act in itself will also kind 392 00:22:24,040 --> 00:22:33,320 Speaker 1: of level the paying field. Two parents each with the 393 00:22:33,359 --> 00:22:37,520 Speaker 1: flexibility to balance work and home life. It does sound 394 00:22:37,560 --> 00:22:43,000 Speaker 1: pretty idyllic, It's also good for women's earnings. A study 395 00:22:43,040 --> 00:22:45,800 Speaker 1: in Sweden found that for each month of paternity leave 396 00:22:45,880 --> 00:22:49,480 Speaker 1: the father takes, the mother's income rises by an average 397 00:22:49,520 --> 00:22:53,920 Speaker 1: of seven percent. But in the US, at least, we're 398 00:22:53,920 --> 00:22:56,399 Speaker 1: a long way from that kind of thing being normal. 399 00:22:57,160 --> 00:23:01,320 Speaker 1: Only of private sector workers get any paid for rental 400 00:23:01,440 --> 00:23:04,600 Speaker 1: leave at all. Changing the way we deal with women 401 00:23:04,680 --> 00:23:08,280 Speaker 1: and men and work isn't something that happens all at once. 402 00:23:09,320 --> 00:23:13,000 Speaker 1: Paid discrimination has been illegal since the sixties, but that 403 00:23:13,119 --> 00:23:16,000 Speaker 1: hasn't stopped companies from paying women less over the years. 404 00:23:16,640 --> 00:23:19,560 Speaker 1: That's because sexism is a way bigger problem than the 405 00:23:19,560 --> 00:23:23,920 Speaker 1: pay gap. No one company is going to solve sexism 406 00:23:23,960 --> 00:23:28,040 Speaker 1: for everyone, but Rosemary is right. The more places where 407 00:23:28,080 --> 00:23:31,440 Speaker 1: gender equality is the norm, the harder it is for 408 00:23:31,480 --> 00:23:35,320 Speaker 1: everyone else to keep treating men and women differently. Next 409 00:23:35,320 --> 00:23:37,840 Speaker 1: week on The Paycheck, we're going to talk about how 410 00:23:37,880 --> 00:23:41,280 Speaker 1: individual women are trying to solve the pay gap for themselves. 411 00:23:42,880 --> 00:23:58,600 Speaker 1: Some are even resorting to motivational chanting. You are not 412 00:23:58,720 --> 00:24:02,800 Speaker 1: going to want to miss it. Thanks for listening to 413 00:24:02,840 --> 00:24:05,680 Speaker 1: another episode of The Paycheck. If you like the show, 414 00:24:05,760 --> 00:24:08,119 Speaker 1: please head on over to Apple Podcasts or wherever you 415 00:24:08,200 --> 00:24:11,400 Speaker 1: listen to rate, review, and subscribe. This show was reported 416 00:24:11,400 --> 00:24:14,440 Speaker 1: by Ellen Hewitt Claire Subteth and hosted and reported by 417 00:24:14,440 --> 00:24:17,879 Speaker 1: me Rebecca Greenfield. It was edited by Jillian Goodman and 418 00:24:17,960 --> 00:24:21,679 Speaker 1: produced by Liz Smith. We also had help from Francesca Levie, 419 00:24:21,760 --> 00:24:25,399 Speaker 1: Janet Paskin, and Magne Henrickson. Our original music is by 420 00:24:25,480 --> 00:24:29,080 Speaker 1: Leo Sidron, carry Vanderyott did the illustrations on our show page, 421 00:24:29,080 --> 00:24:31,840 Speaker 1: which you can find at bloomberg dot com Slash the Paycheck. 422 00:24:32,240 --> 00:24:34,760 Speaker 1: Francesca Levie is Bloomberg's head of Podcasts