1 00:00:00,160 --> 00:00:03,120 Speaker 1: UM, A couple of years ago, you guys embraced UH 2 00:00:03,360 --> 00:00:07,720 Speaker 1: salary transparency and and one I want you to talk 3 00:00:07,760 --> 00:00:11,440 Speaker 1: about why, why that's important or was important for you guys, 4 00:00:11,600 --> 00:00:14,560 Speaker 1: and steps to doing that well, because I imagine there's 5 00:00:15,200 --> 00:00:18,560 Speaker 1: um a large opportunity there to cause more ruckis in 6 00:00:18,560 --> 00:00:21,480 Speaker 1: the beginning, you know, especially in the beginning. But what 7 00:00:21,520 --> 00:00:23,840 Speaker 1: are the lasting implications of doing that both on the 8 00:00:23,840 --> 00:00:28,680 Speaker 1: positives hide and negative side and steps to doing it well? Yeah, 9 00:00:28,960 --> 00:00:31,760 Speaker 1: So just for context, we did it in two thousand 10 00:00:31,800 --> 00:00:34,160 Speaker 1: and sevent team, so it's been in place since then. 11 00:00:34,880 --> 00:00:38,680 Speaker 1: The reason we did it was for equity, racial and 12 00:00:38,760 --> 00:00:42,800 Speaker 1: gender equity. Lots of great companies, lots of bad companies. 13 00:00:43,280 --> 00:00:46,599 Speaker 1: We're paying people different depending on their gender. Lots of 14 00:00:46,600 --> 00:00:49,400 Speaker 1: well intentioned companies didn't want to do that, but they 15 00:00:49,400 --> 00:00:53,040 Speaker 1: allowed for some negotiation. And so for example of you 16 00:00:53,320 --> 00:00:58,400 Speaker 1: are are if you negotiate a five percent higher salary 17 00:00:58,440 --> 00:01:01,360 Speaker 1: than I do, right for the same position, same work. 18 00:01:01,960 --> 00:01:05,639 Speaker 1: Five years later, you've done fantastic work. You've both gotten 19 00:01:05,720 --> 00:01:09,319 Speaker 1: promotions and both got a bump every single year. That 20 00:01:09,480 --> 00:01:13,720 Speaker 1: difference than amplifies, Right, that's the problem. And then five 21 00:01:13,760 --> 00:01:17,520 Speaker 1: years later you have a company that says the employee says, 22 00:01:17,560 --> 00:01:21,360 Speaker 1: wait a minute, I'm being paid how much less? Now 23 00:01:21,520 --> 00:01:24,560 Speaker 1: the company has lost a valuable employee with all the 24 00:01:24,600 --> 00:01:27,840 Speaker 1: institutional memory that problem. So we want to avoid that, 25 00:01:28,680 --> 00:01:30,759 Speaker 1: and the quickest way we wanted to do it was say, 26 00:01:31,000 --> 00:01:36,800 Speaker 1: let's make it transparent, let's make internally transparent, and then 27 00:01:36,880 --> 00:01:41,160 Speaker 1: let's go through a process for engaging our employees to 28 00:01:41,280 --> 00:01:45,880 Speaker 1: make that happen so that there isn't a ruckus. So 29 00:01:45,920 --> 00:01:48,880 Speaker 1: what we did, basically, I just it's it's actually in 30 00:01:48,920 --> 00:01:52,000 Speaker 1: the book fairly explicitly. There's a step by step process 31 00:01:52,040 --> 00:01:54,680 Speaker 1: that we use that anybody can follow. But the first 32 00:01:54,720 --> 00:01:56,480 Speaker 1: thing we did was really simple, are you going to 33 00:01:56,600 --> 00:02:00,280 Speaker 1: leave if we make our salaries transparent? And now down 34 00:02:00,320 --> 00:02:03,120 Speaker 1: twenty people said no, we'll not and one person I'm 35 00:02:03,120 --> 00:02:07,080 Speaker 1: a little uncomfortable, but let's go for it, right, So 36 00:02:07,120 --> 00:02:10,000 Speaker 1: that's the first thing. The second thing was we involved 37 00:02:10,080 --> 00:02:13,200 Speaker 1: them in the solution. There's lots of research to do. 38 00:02:13,400 --> 00:02:16,280 Speaker 1: Is this the right solving? Are there other alternatives? What 39 00:02:16,400 --> 00:02:19,160 Speaker 1: other companies are doing this? But we had a committee 40 00:02:19,639 --> 00:02:23,800 Speaker 1: based on leadership and employees that participated. Why does that 41 00:02:23,840 --> 00:02:27,640 Speaker 1: matter because they're gonna bring different perspectives than I would 42 00:02:28,200 --> 00:02:30,880 Speaker 1: and whatever solution we come up with, they're going to 43 00:02:30,919 --> 00:02:34,640 Speaker 1: participate in. That's going to enable people to feel like, yeah, 44 00:02:34,800 --> 00:02:39,200 Speaker 1: I designed this. Finally, the big actually the big part 45 00:02:39,200 --> 00:02:41,280 Speaker 1: of the work. We didn't have our leveling and we 46 00:02:41,320 --> 00:02:45,560 Speaker 1: didn't have our rubrics very well laid out. That took 47 00:02:45,800 --> 00:02:47,919 Speaker 1: of a seven month process. That took about four and 48 00:02:47,960 --> 00:02:51,000 Speaker 1: a half months to do that. Right, any companies should 49 00:02:51,040 --> 00:02:53,760 Speaker 1: have that anyway, regardless of whether good and salary transparent 50 00:02:53,840 --> 00:02:57,440 Speaker 1: or not. By the time we announced it for seven months, 51 00:02:57,639 --> 00:03:00,280 Speaker 1: the reaction was basically a whole hump it because we 52 00:03:00,320 --> 00:03:05,639 Speaker 1: brought everybody along for the ride. Um. We also did 53 00:03:05,680 --> 00:03:09,239 Speaker 1: one other thing that is a fun piece. It's called 54 00:03:09,280 --> 00:03:11,680 Speaker 1: the pre mortem. I talked about it in the book 55 00:03:11,680 --> 00:03:15,679 Speaker 1: as well, and it's basically a technique to basically it's 56 00:03:15,680 --> 00:03:18,560 Speaker 1: a technique to enable you to project into the future 57 00:03:19,280 --> 00:03:21,720 Speaker 1: and try and avoid problems. So the quick question you 58 00:03:21,800 --> 00:03:26,399 Speaker 1: ask is we did this, okay, team, it's three months, 59 00:03:26,440 --> 00:03:29,440 Speaker 1: three weeks before launch. I want you to project nine 60 00:03:29,440 --> 00:03:32,640 Speaker 1: months down the road. The thing is launched, It reached 61 00:03:32,639 --> 00:03:37,800 Speaker 1: all the people, etcetera, etcetera in nine months. It is 62 00:03:37,960 --> 00:03:44,040 Speaker 1: a complete disaster. Everything's gone wrong. Everybody hates us, We've 63 00:03:44,080 --> 00:03:47,760 Speaker 1: lost customer. Blah blah blah blah blah. What went wrong? Yeah, 64 00:03:48,080 --> 00:03:50,400 Speaker 1: And I usually start by saying, yeah, it was me. 65 00:03:50,480 --> 00:03:52,440 Speaker 1: I wasn't paying attention, I didn't answer that phone call. 66 00:03:52,560 --> 00:03:55,000 Speaker 1: Was sload respawn Right. It loosens people up a little 67 00:03:55,000 --> 00:03:56,720 Speaker 1: bit because what you're trying to do is have people 68 00:03:56,720 --> 00:03:59,720 Speaker 1: to be creative. Dan, it starts to come out well 69 00:04:00,040 --> 00:04:03,000 Speaker 1: and that stakeholder, we didn't talk to this person, We 70 00:04:03,000 --> 00:04:06,160 Speaker 1: didn't talk to Oh, we forgot this step. Once you 71 00:04:06,160 --> 00:04:08,640 Speaker 1: gather a bunch of those, you work backwards. So how 72 00:04:08,680 --> 00:04:13,120 Speaker 1: could we mitigate that possibility? It is amazing how many 73 00:04:13,240 --> 00:04:16,320 Speaker 1: things come up that you, even the most diligent person 74 00:04:16,400 --> 00:04:19,680 Speaker 1: did not think of because they didn't imagine the failure 75 00:04:19,720 --> 00:04:22,880 Speaker 1: case down the road. So that's what we did with 76 00:04:22,960 --> 00:04:26,800 Speaker 1: the salary recordees. But I'm sorry pay transparency as well. Um. 77 00:04:26,800 --> 00:04:28,680 Speaker 1: So we tested this thing and we iterated it, and 78 00:04:28,680 --> 00:04:32,080 Speaker 1: we continue to iterate to this day. It's black tech. 79 00:04:32,160 --> 00:04:34,679 Speaker 1: Green Money. Shared this podcast with the people you're closest 80 00:04:34,720 --> 00:04:34,800 Speaker 1: to