WEBVTT - Can We Fix the Hiring Process, Already?

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<v Speaker 1>From executive search to talent strategy, leadership development, rewards and

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<v Speaker 1>Ferry dot com slash up. Welcome to game Plan, a

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<v Speaker 1>show about our lives at work. I'm Sam Grobard, a

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<v Speaker 1>reporter for Business Week and professional working person, and I'm

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<v Speaker 1>Rebecca Greenfield, a reporter for Bloomberg, where I cover workplace culture.

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<v Speaker 1>This week, we're talking about the horrible, no fun process

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<v Speaker 1>of applying for jobs. A little later, we're going to

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<v Speaker 1>talk to Karen Snyder. Karen's a linguist who's trying to

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<v Speaker 1>fix that situation. But first, let's just talk about everything

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<v Speaker 1>that's wrong with the hiring process. Yeah, applying for jobs

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<v Speaker 1>is horrible. It's effectively, I think a system we can

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<v Speaker 1>describe as broken. Yeah, especially now with a lot of

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<v Speaker 1>the online in job application sites, it does feel like

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<v Speaker 1>you're sending your resume into a black hole that immediately

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<v Speaker 1>will be incinerated. Absolutely, And this is also true I

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<v Speaker 1>think probably on the employer side as well. I mean,

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<v Speaker 1>you know, when you talk to employers and you read

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<v Speaker 1>about it, they seem to have a lot of difficulty

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<v Speaker 1>finding the right people. So something's really gone amok here

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<v Speaker 1>if you have applicants not really feeling like they're finding

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<v Speaker 1>the right jobs and employers feeling like they're not finding

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<v Speaker 1>the right applicants. Yeah, and everything, all the whole process

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<v Speaker 1>in between is unpleasant for everybody. So, like on the

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<v Speaker 1>applicant side, even if somebody does read your cover letter

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<v Speaker 1>or your resume, like one small thing can disqualify you,

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<v Speaker 1>and it might be something that you had no idea

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<v Speaker 1>was even something that was wrong with the hiring process.

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<v Speaker 1>Let's let's talk about some of those potential disqualifies. So, actually,

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<v Speaker 1>one of the most popular posts um Bloomberg since I've

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<v Speaker 1>been working here, I didn't write it. A former colleague,

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<v Speaker 1>Natalie kidter Off, wrote it about the best and worst

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<v Speaker 1>fonts for your resume? So could it could throw the

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<v Speaker 1>whole thing? Yeah? What fun am I supposed to be

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<v Speaker 1>using hell Vetico as a popular choice? Very hip? What

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<v Speaker 1>am I not supposed to be used? I mean, obviously

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<v Speaker 1>comics hands but even times New Roman. Oh, your your

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<v Speaker 1>resumes in comics, it's always been in comics. Well, it's

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<v Speaker 1>working for you. Yeah, I'm gonna bring a cookie vibe

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<v Speaker 1>to your office. You're the comics hands of Business Week report.

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<v Speaker 1>Here there we go. But yeah, even times New Roman.

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<v Speaker 1>I think some people in the article liked it, that

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<v Speaker 1>it was fined, and some people thought it was offensive,

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<v Speaker 1>and how are you supposed to know? It's ridiculous. And

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<v Speaker 1>then there's the length of your I mean, there's the

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<v Speaker 1>cover letter itself. Should you even have a cover letter? Right? So,

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<v Speaker 1>you and I have talked about this. We both are

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<v Speaker 1>kind of anti I feel like the more you have

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<v Speaker 1>in the cover letter, the less you have to say

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<v Speaker 1>for yourself. In some way, it's like your resume pretty

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<v Speaker 1>much should do the job. I feel like the cover

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<v Speaker 1>letter these days, in many cases, it's just the email

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<v Speaker 1>that you've attached your resume to, and the email might

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<v Speaker 1>just say nothing more than here's my resume. Yeah that's

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<v Speaker 1>been my move. But we also work in a more

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<v Speaker 1>informal field. That's true. It's not like a law firm,

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<v Speaker 1>which I think is has a very specific rules for

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<v Speaker 1>the kind of cover letters. Well, I guess in a

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<v Speaker 1>way then that makes things a little easier because those

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<v Speaker 1>rules can be known, they can be passed along and

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<v Speaker 1>you can sort of just function within them. It's it's

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<v Speaker 1>in fact, when everything is supposed to be kind of

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<v Speaker 1>loosey goosey and it's up to you and nobody wants

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<v Speaker 1>to say what they should or shouldn't do, that you

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<v Speaker 1>kind of are left going, yeah, but please actually just

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<v Speaker 1>tell me. Yeah. I think that's called like the tyranny

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<v Speaker 1>of structurelessness or something like that, because it's sort of

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<v Speaker 1>a fraud, right, because there are things that you probably

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<v Speaker 1>should or shouldn't be doing, but nobody wants to come

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<v Speaker 1>across as being so dogmatic as to say that you

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<v Speaker 1>should or shouldn't write and and try hard or I

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<v Speaker 1>don't know where do you come down on resume length?

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<v Speaker 1>This is always an issue that I talked about with people.

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<v Speaker 1>I have a one pager me too, I've had I've

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<v Speaker 1>been in the workforce six years or so. It seems

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<v Speaker 1>like a one page amount of time. Also, people are

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<v Speaker 1>just glancing at your resume, so if you have the

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<v Speaker 1>second page where your most important work experiences, they're not

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<v Speaker 1>even going to see it. I have been in the

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<v Speaker 1>workforce for twenty years and I also have a one

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<v Speaker 1>page resume because I like, you feel like there's no

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<v Speaker 1>reason anybody ever needs. I'm not like a physician, Like

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<v Speaker 1>I'm not like having like published articles exactly. Um, yeah

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<v Speaker 1>I should. We should just put links to every single

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<v Speaker 1>article we've written out. It's very important that it is. Yes, no,

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<v Speaker 1>And I've actually started taking jobs off my resume. Things

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<v Speaker 1>that are so long ago. Is well, there are definitely

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<v Speaker 1>some experiences that I didn't really enjoy and we're maybe

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<v Speaker 1>brief for that very reason, and so it doesn't really matter,

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<v Speaker 1>and they were so long ago so that it really

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<v Speaker 1>it's like something that's twelve years ago that was for

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<v Speaker 1>six months, pretty inconsequential. And since I am trying to

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<v Speaker 1>keep my resume to one page, take it off. Yeah,

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<v Speaker 1>that one gets eighty six. I know everybody makes fun

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<v Speaker 1>of LinkedIn for being useless, but actually, in this case,

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<v Speaker 1>it kind of can be somewhere you can put other stuff.

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<v Speaker 1>Obviously they're going to google you. The hiring manager is

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<v Speaker 1>going to look at your LinkedIn page. Yes, you can

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<v Speaker 1>expect that to be the case. Yeah, So really all

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<v Speaker 1>of this stuff is just it's kind of formalities that

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<v Speaker 1>waste so much time, and I think once you talked

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<v Speaker 1>to a person, the process doesn't seem as broken to me,

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<v Speaker 1>it's kind of like, oh, we all know Jus and

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<v Speaker 1>done some interviews, and you kind of know when an

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<v Speaker 1>interview went well, and you know that you're like at

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<v Speaker 1>least being considered for our position. So yeah, we've both

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<v Speaker 1>been working for some time now, and I think that

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<v Speaker 1>it's fair to say that if we were heaven for

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<v Speaker 1>friend to get a new job somewhere, it would it

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<v Speaker 1>wouldn't be through a particularly formal process. It would be

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<v Speaker 1>through a social network. It would be through our friends

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<v Speaker 1>and through our colleagues and through our former colleagues and

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<v Speaker 1>so forth, and so you wouldn't even necessarily have this process.

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<v Speaker 1>But if you are trying to break into an industry

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<v Speaker 1>or even just get started, you are going to encounter

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<v Speaker 1>these formalities. Yeah. I remember when I was applying for

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<v Speaker 1>my first job, which was a fellowship at the Atlantic magazine.

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<v Speaker 1>I had to apply again to and there was an

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<v Speaker 1>online system even at that time, and it felt like

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<v Speaker 1>sending something into a void, and when somebody responded to me,

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<v Speaker 1>I really felt like magic or like a miracle, or

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<v Speaker 1>like how did I get chosen? This is crazy, like

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<v Speaker 1>winning the Hamilton's lottery. I don't I don't think anybody

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<v Speaker 1>actually wins. Nobody actually goes yes. Um. And I found

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<v Speaker 1>my cover letter that I had sent and it's just

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<v Speaker 1>so embarrassing and still did. They had given us a prompt,

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<v Speaker 1>which I think at that time journalism was very much

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<v Speaker 1>in this phase of like, technology is coming, what are

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<v Speaker 1>we going to do? Yeah, And the prompt was something

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<v Speaker 1>like that. And in the first sentence, I have it

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<v Speaker 1>right here in the computer, I used the word renders,

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<v Speaker 1>which probably shouldn't use in a cover letter unless you're

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<v Speaker 1>applying to a thought rendering facility renders obsolete. Perhaps it's

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<v Speaker 1>just like I am writing a cover letter. Can we

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<v Speaker 1>just get a couple of sentences here? I just want

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<v Speaker 1>to get a sense of what we're talking about, even

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<v Speaker 1>as technology I can't do. Okay, even as technology renders

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<v Speaker 1>the print and print journalism obsolete, good reporting, researching, and

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<v Speaker 1>writing is more important than ever. Perhaps the medium of

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<v Speaker 1>paper as a way to convey information is fading in importance,

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<v Speaker 1>but Americans still deserve informative media. Rebecca Greenfield, you are hired. Yeah,

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<v Speaker 1>why did that get me? I don't know. They probably

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<v Speaker 1>got a lot of garbage from other twenty two year

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<v Speaker 1>old You managed to string together some sentences they were

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<v Speaker 1>grammatically correct. Yeah, So somehow people get hired. And from

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<v Speaker 1>our perspective, it feels like employers have have a good

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<v Speaker 1>like they have all the power because they do. But

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<v Speaker 1>I talked to a few hiring managers about the process

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<v Speaker 1>and they have a few frustrations of their own. Take

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<v Speaker 1>a listen. I think there's a lot of bad tips

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<v Speaker 1>out there, Like people will tell you you have to

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<v Speaker 1>stand out, so you have to visit the office in person.

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<v Speaker 1>But I've actually never seen this work up favorably. So

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<v Speaker 1>what you usually see is, dear hiring manager, I have

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<v Speaker 1>done X Y and Z for X Y and Z company.

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<v Speaker 1>This will be applicable to you because something that sounds

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<v Speaker 1>like it came from a fortune cookie. Please call me

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<v Speaker 1>back if you're early inconvenience so I can expound upon this.

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<v Speaker 1>Looking forward to it handed it. I've had people send

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<v Speaker 1>me gifts and it never works. It's actually pretty cooky

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<v Speaker 1>and it's not a gimmick that should get you noticed.

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<v Speaker 1>It's your talents. Like I've seen people attached pictures that

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<v Speaker 1>you know, how like when you sometimes see people on

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<v Speaker 1>on Facebook or LinkedIn and they've got it appears that

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<v Speaker 1>they've got their arm around a buddy, and you can

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<v Speaker 1>kind of tell that the photo has been cropped, you know,

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<v Speaker 1>not only are they attaching a photo and maybe that's

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<v Speaker 1>not you know, that's not appropriate. Now you kind of

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<v Speaker 1>see this photo where you're like, oh, is that a

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<v Speaker 1>photo from the last Friday night. I literally had a

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<v Speaker 1>candidate practically lie about getting in a car accident, and

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<v Speaker 1>the candidate kind of said, hey, I'm not gonna be

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<v Speaker 1>able to make the interview got in a car accident,

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<v Speaker 1>like oh gosh, I hope you're okay. Um, And then

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<v Speaker 1>they actually sent me a photo, which I thought was

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<v Speaker 1>kind of odd, like why would you send me a photo,

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<v Speaker 1>I'm not your insurance company right to prove that you

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<v Speaker 1>were in a car accident. I kind of shared it

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<v Speaker 1>with a couple of my colleagues and they were much

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<v Speaker 1>savvyer about, oh, let's go see if that's a stock photo.

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<v Speaker 1>And I actually found like the stock photo up on

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<v Speaker 1>the internet. So the person literally like lied about that,

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<v Speaker 1>and just like, why didn't you just tell me didn't

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<v Speaker 1>want to come to the interview. It seems like from

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<v Speaker 1>an employer's standpoint, from a recruiting standpoint, it's a dreadful

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<v Speaker 1>task and that you would rather be doing almost anything

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<v Speaker 1>else than deal with them, right, although I don't. To me,

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<v Speaker 1>it's like, maybe it's kind of fun to like look

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<v Speaker 1>at people's rescues, but I guess that gets old. It

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<v Speaker 1>might get old. I've always maintained that, you know, when

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<v Speaker 1>I deal. I've tried to tell myself this in in

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<v Speaker 1>my own job seeking situations, and I've also told this

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<v Speaker 1>to friends, which is that you know, you're waiting to

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<v Speaker 1>hear back from somebody, and the days are sort of

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<v Speaker 1>ticking by, and you're going out of your mind. Yeah,

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<v Speaker 1>you're going, what's going on? What's going They must be

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<v Speaker 1>considering twenty other people, that's right, Yeah, And the truth

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<v Speaker 1>is probably that they have just like procrastinated that task

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<v Speaker 1>till weeks from now because there's more pressing. There's always

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<v Speaker 1>something more pressing, you know, that needs to get addressed

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<v Speaker 1>that hour or that day or that week. And like

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<v Speaker 1>hiring somebody in many cases is like it would be

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<v Speaker 1>nice to get them in sooner rather than later, but

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<v Speaker 1>we kind of have worked it out without them yet,

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<v Speaker 1>so and so you're on the other end with nothing

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<v Speaker 1>more important to think about than whether or not you're

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<v Speaker 1>going to get this job, they are not nearly as

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<v Speaker 1>interested in filling it as you are. Yeah. God, that's

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<v Speaker 1>so annoying. But the realities so Yeah. Even when employers

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<v Speaker 1>are trying really hard to hire, like tech companies who

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<v Speaker 1>need to staff up really fast, they still have problems

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<v Speaker 1>hiring because there are not enough qualified people, or maybe

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<v Speaker 1>they're trying to hire a more diverse staff hopefully and

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<v Speaker 1>that is difficult. So in some ways we can sympathize

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<v Speaker 1>with the employer a little bit, but it does go

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<v Speaker 1>to this larger notion that the entire system does seem

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<v Speaker 1>to be broken. And this would probably be a really

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<v Speaker 1>good time to bring in our guest, Kieren Snyder, who's

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<v Speaker 1>working to help companies do a better job of hiring

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<v Speaker 1>people alinguist by training. Kieren runs Texto, a company that

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<v Speaker 1>uses machine learning to create better job listings and recruitment

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<v Speaker 1>letters for companies. Up happens when the power and potential

0:11:47.880 --> 0:11:51.120
<v Speaker 1>of every employee and leader in your workforce is released,

0:11:51.480 --> 0:11:53.840
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<v Speaker 1>people to your strategy, attracting, developing, engaging, and rewarding them

0:11:58.280 --> 0:12:01.240
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0:12:01.240 --> 0:12:04.760
<v Speaker 1>partner who truly understands people, leadership, and the new landscape

0:12:04.760 --> 0:12:06.960
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0:12:06.960 --> 0:12:10.480
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0:12:10.559 --> 0:12:22.880
<v Speaker 1>up hire. Hi, nice to be here, Thanks for joining us. UM.

0:12:22.920 --> 0:12:26.679
<v Speaker 1>I'll start off with just wort of a basic question here, UM,

0:12:26.720 --> 0:12:29.719
<v Speaker 1>given your vantage point, how would you describe right now

0:12:29.840 --> 0:12:34.280
<v Speaker 1>the state of hiring here in the US. Great question.

0:12:34.320 --> 0:12:36.160
<v Speaker 1>I mean, we may be in a little bit of

0:12:36.200 --> 0:12:39.320
<v Speaker 1>a transition point right now, but the last couple of

0:12:39.400 --> 0:12:44.520
<v Speaker 1>years have been tougher for employers than employees in terms

0:12:44.520 --> 0:12:49.640
<v Speaker 1>of hiring, especially in sectors like technology and finance, where

0:12:50.240 --> 0:12:53.800
<v Speaker 1>there are a lot of great jobs available. You know,

0:12:53.840 --> 0:12:56.520
<v Speaker 1>the economy the last couple of years has done pretty

0:12:56.520 --> 0:13:00.400
<v Speaker 1>well and fewer qualified candidates to fill the role, so

0:13:00.440 --> 0:13:03.680
<v Speaker 1>that the most qualified candidates on the market are highly

0:13:03.720 --> 0:13:07.080
<v Speaker 1>in demand right now. I definitely think that's surprising from

0:13:07.520 --> 0:13:10.719
<v Speaker 1>our perspective, the higher the employees perspective, because it just

0:13:10.880 --> 0:13:15.640
<v Speaker 1>seems so impossible to find and look for jobs these days. UM.

0:13:15.720 --> 0:13:18.440
<v Speaker 1>As part of the problem like some sort of mismatch

0:13:18.440 --> 0:13:21.480
<v Speaker 1>and what employers are putting out there. Yeah, that's a

0:13:21.520 --> 0:13:25.280
<v Speaker 1>really good, good question. I can understand from the potential

0:13:25.360 --> 0:13:28.480
<v Speaker 1>employee your job seeker perspective that it can be tough

0:13:28.559 --> 0:13:31.600
<v Speaker 1>to wade through the content to find the right thing.

0:13:31.640 --> 0:13:34.640
<v Speaker 1>I mean, there are over three billion job posts on

0:13:34.679 --> 0:13:38.760
<v Speaker 1>the internet, uh, just for North America at any given time,

0:13:39.480 --> 0:13:41.360
<v Speaker 1>and so I do think kind of one of the

0:13:41.440 --> 0:13:46.280
<v Speaker 1>challenges for the job seeker is to wade through all

0:13:46.320 --> 0:13:50.600
<v Speaker 1>of that and find the posts that actually speak the

0:13:50.679 --> 0:13:53.920
<v Speaker 1>most clearly to them for which they're sort of uniquely qualified.

0:13:54.280 --> 0:13:56.800
<v Speaker 1>That sounds like some work for the job seeker to

0:13:56.880 --> 0:14:01.800
<v Speaker 1>like wade through three billion different posts. Yeah, it's a

0:14:01.800 --> 0:14:04.680
<v Speaker 1>good question. I think job seekers take a couple of

0:14:04.720 --> 0:14:08.040
<v Speaker 1>different approaches, uh, you know, and I think there's the

0:14:08.080 --> 0:14:12.439
<v Speaker 1>employer side of this as well. Obviously, job seekers increasingly

0:14:12.480 --> 0:14:16.199
<v Speaker 1>their number one and two tools for jobs seeking our

0:14:16.360 --> 0:14:20.000
<v Speaker 1>Google and kind of secondarily maybe indeed as a you know,

0:14:20.160 --> 0:14:22.120
<v Speaker 1>a board where they can kind of find one stop

0:14:22.160 --> 0:14:26.320
<v Speaker 1>shopping for listings or they may you know, identify ten

0:14:26.360 --> 0:14:28.640
<v Speaker 1>companies they want to work for and go directly to

0:14:28.680 --> 0:14:31.440
<v Speaker 1>the source. But I think it's a equally a big

0:14:31.520 --> 0:14:36.520
<v Speaker 1>challenge for the employer in that model, because when you're

0:14:36.760 --> 0:14:40.000
<v Speaker 1>part of such a large ecosystem. You have to figure

0:14:40.000 --> 0:14:42.200
<v Speaker 1>out how to stand out so you can be found,

0:14:43.120 --> 0:14:45.080
<v Speaker 1>which is you know, so I think there's some mutual

0:14:45.160 --> 0:14:48.720
<v Speaker 1>challenge on matching. Karen, you've been working with a lot

0:14:48.760 --> 0:14:52.440
<v Speaker 1>of companies um and helping them sort of craft better messages.

0:14:52.520 --> 0:14:54.760
<v Speaker 1>What are some of the key things that you're telling

0:14:54.840 --> 0:14:58.400
<v Speaker 1>your clients to be doing that will attract more or

0:14:58.600 --> 0:15:02.240
<v Speaker 1>better applicants. I mean, for us, given that you know,

0:15:02.280 --> 0:15:06.600
<v Speaker 1>we really make software rather than providing expert consulting. The

0:15:06.720 --> 0:15:11.520
<v Speaker 1>number one thing that we tell companies is that your

0:15:11.520 --> 0:15:16.120
<v Speaker 1>own intuitions may be broken. Right that sort of your

0:15:16.400 --> 0:15:19.640
<v Speaker 1>go to job posts that you've used for the last

0:15:19.680 --> 0:15:22.280
<v Speaker 1>three years, where by the way, you're not happy with

0:15:22.760 --> 0:15:24.560
<v Speaker 1>who applies when you put it out there in the world,

0:15:24.600 --> 0:15:28.360
<v Speaker 1>but you're still using it. Uh Or your intuition about

0:15:29.040 --> 0:15:31.760
<v Speaker 1>what's going to work in the market or not isn't

0:15:31.840 --> 0:15:35.720
<v Speaker 1>as powerful as real use of data from the whole

0:15:35.800 --> 0:15:40.080
<v Speaker 1>hiring community. So your own intuitions and biases may take

0:15:40.160 --> 0:15:42.480
<v Speaker 1>you two outcomes that you don't want to have, whereas

0:15:42.480 --> 0:15:46.280
<v Speaker 1>if you can use real outcomes and real quantitative approaches,

0:15:46.400 --> 0:15:48.560
<v Speaker 1>you know, look at what has actually worked in the past,

0:15:48.880 --> 0:15:50.960
<v Speaker 1>you're likely to bet get a better outcome. So it's

0:15:50.960 --> 0:15:54.840
<v Speaker 1>the number one thing we have to tell companies, uh,

0:15:54.920 --> 0:15:56.760
<v Speaker 1>is that you've got to let go some of what

0:15:56.800 --> 0:15:59.840
<v Speaker 1>you thought were best practices. Do you have any examples

0:16:00.040 --> 0:16:03.840
<v Speaker 1>of those bad intuitions? Are best practices that companies are

0:16:03.920 --> 0:16:06.080
<v Speaker 1>using that we all see it in job listings all

0:16:06.080 --> 0:16:09.240
<v Speaker 1>the time that just really don't work. Yeah. One of

0:16:09.360 --> 0:16:13.080
<v Speaker 1>one of the things that always ends up surprising people, uh,

0:16:13.120 --> 0:16:16.920
<v Speaker 1>is that great, great example, the proportion of content that

0:16:16.960 --> 0:16:21.000
<v Speaker 1>they put into bullets matters, right, the bullet points all

0:16:21.040 --> 0:16:23.920
<v Speaker 1>over job posts. It turns out there's a sweet spot

0:16:24.000 --> 0:16:28.280
<v Speaker 1>for candidate engagement. If you want the maximum candidate engagement

0:16:28.280 --> 0:16:30.280
<v Speaker 1>on your job post, you want your listening to be

0:16:30.360 --> 0:16:36.160
<v Speaker 1>about a third bulleted content. It's probably a visual silhouette thing.

0:16:36.840 --> 0:16:41.000
<v Speaker 1>And then, really interestingly, when you go above fifty you

0:16:41.040 --> 0:16:43.840
<v Speaker 1>see a reduction in the proportion of women who apply,

0:16:44.280 --> 0:16:47.000
<v Speaker 1>so women don't like bullet points. Yeah, And if you

0:16:47.040 --> 0:16:50.440
<v Speaker 1>go below t bulleted content, you see a reduction in

0:16:50.480 --> 0:16:53.160
<v Speaker 1>the proportion of men who apply, which is also not good.

0:16:53.640 --> 0:16:55.520
<v Speaker 1>So this is one of those things you can only

0:16:55.600 --> 0:16:59.720
<v Speaker 1>know when you're measuring outcomes at large scale. There's actually

0:16:59.720 --> 0:17:02.880
<v Speaker 1>a spot that works, you know, inclusively to get the

0:17:02.920 --> 0:17:06.200
<v Speaker 1>most engagement from candidates, and people are always surprised. There's

0:17:06.200 --> 0:17:08.360
<v Speaker 1>an example of the kind of thing like I never

0:17:08.359 --> 0:17:10.440
<v Speaker 1>really thought about that before. I just I just wrote

0:17:10.480 --> 0:17:12.680
<v Speaker 1>it the way I've always written it. Are there any

0:17:12.720 --> 0:17:15.680
<v Speaker 1>other sort of examples that you can cite that? I mean,

0:17:15.680 --> 0:17:18.240
<v Speaker 1>that was great what you were just talking about, UM,

0:17:18.280 --> 0:17:21.080
<v Speaker 1>But other sort of like always nevers or dues and

0:17:21.119 --> 0:17:24.119
<v Speaker 1>don't um that you've come to learn from all of

0:17:24.119 --> 0:17:26.880
<v Speaker 1>the data that you've been sifting through. Yeah, I mean,

0:17:26.920 --> 0:17:28.800
<v Speaker 1>I guess one of the most I can give a

0:17:28.840 --> 0:17:32.600
<v Speaker 1>couple examples, but one of the most important things is

0:17:32.640 --> 0:17:37.040
<v Speaker 1>that there are few, always is and never uh, simply

0:17:37.119 --> 0:17:40.760
<v Speaker 1>because language changes. So the patterns that worked a couple

0:17:40.760 --> 0:17:43.080
<v Speaker 1>of months ago may not work today, and the patterns

0:17:43.119 --> 0:17:45.440
<v Speaker 1>that work today may not work in a couple of months.

0:17:45.480 --> 0:17:47.800
<v Speaker 1>So as as language change, it's just like with any

0:17:47.960 --> 0:17:50.720
<v Speaker 1>marketing content, right, because the job post is essentially your

0:17:50.720 --> 0:17:54.080
<v Speaker 1>way of marketing your company and your job. What works

0:17:54.160 --> 0:17:57.560
<v Speaker 1>changes based on what's happening in the market. I'd say

0:17:57.600 --> 0:18:01.679
<v Speaker 1>one of the most common mistakes that people make is

0:18:01.920 --> 0:18:06.000
<v Speaker 1>use of over formal language or sort of corporate cliches,

0:18:06.440 --> 0:18:11.560
<v Speaker 1>you know, language like synergy or KPI S or r

0:18:11.600 --> 0:18:15.720
<v Speaker 1>O I terrible jargon that nobody. Yeah, exactly, the pretty

0:18:16.000 --> 0:18:19.399
<v Speaker 1>jargoning stuff. Uh. I don't know what it is that

0:18:19.480 --> 0:18:21.960
<v Speaker 1>people get behind a keyboard when they're writing a job post,

0:18:22.040 --> 0:18:27.160
<v Speaker 1>but they don't write like they talk, and actually posts

0:18:27.200 --> 0:18:29.800
<v Speaker 1>performed better when it feels like they're written a little

0:18:29.920 --> 0:18:32.280
<v Speaker 1>less formally. And you know, one thing that we've we've

0:18:32.280 --> 0:18:36.080
<v Speaker 1>found very interesting in our data. So every candidate, every

0:18:36.080 --> 0:18:39.280
<v Speaker 1>demographic group, this is true, they don't like this corporate jargon,

0:18:39.680 --> 0:18:45.359
<v Speaker 1>but it has an even more adverse effect on underrepresented groups. Uh,

0:18:45.440 --> 0:18:50.640
<v Speaker 1>particularly people of color and women uh don't respond well

0:18:51.040 --> 0:18:53.000
<v Speaker 1>to you know, they're much less likely to apply the

0:18:53.040 --> 0:18:56.240
<v Speaker 1>more jargon you have in your post. So yeah, pretty interesting.

0:18:56.760 --> 0:18:59.520
<v Speaker 1>That's really interesting because we did an episode on jargon,

0:19:00.240 --> 0:19:03.480
<v Speaker 1>and um we talked about how jargon is in speak,

0:19:03.800 --> 0:19:06.200
<v Speaker 1>you know, it's it's something that excludes other groups. So

0:19:06.240 --> 0:19:09.359
<v Speaker 1>that kind of does make sense that underrepresentative people who

0:19:09.359 --> 0:19:13.080
<v Speaker 1>probably already feel marginalized, you know, they see that language

0:19:13.080 --> 0:19:15.240
<v Speaker 1>and they're like, oh, this isn't for me, that's that's

0:19:15.280 --> 0:19:18.879
<v Speaker 1>that community exactly. Yeah. I think it's because you know,

0:19:18.880 --> 0:19:23.480
<v Speaker 1>it grew up in a pretty homogeneous corporate culture historically

0:19:23.960 --> 0:19:27.880
<v Speaker 1>that wasn't particularly inclusive or representative, so the language has

0:19:27.920 --> 0:19:31.119
<v Speaker 1>become something of a cultural signifier, at least at some

0:19:31.920 --> 0:19:36.600
<v Speaker 1>unconscious level. Karen, can you extrampolate from the data and

0:19:36.640 --> 0:19:40.000
<v Speaker 1>the work you've done with employers and sort of apply

0:19:40.160 --> 0:19:43.480
<v Speaker 1>this to the employee side of the equation? Are their

0:19:43.640 --> 0:19:48.720
<v Speaker 1>words or practices that are either misguided or underused or

0:19:48.760 --> 0:19:52.000
<v Speaker 1>truly beneficial? You know, it's a really good question, and

0:19:52.040 --> 0:19:56.199
<v Speaker 1>I'm i as potential employees, everybody, of course wants to

0:19:56.240 --> 0:19:58.760
<v Speaker 1>put their best foot forward, uh, and they want to

0:19:58.800 --> 0:20:02.240
<v Speaker 1>have their best chance ants of being interviewed, you know,

0:20:02.320 --> 0:20:04.040
<v Speaker 1>to get get kind of through the door and cover

0:20:04.119 --> 0:20:07.480
<v Speaker 1>letters and resumes. On the other hand, there's a part

0:20:07.480 --> 0:20:10.439
<v Speaker 1>of me that always says, uh, yes, there are some

0:20:10.480 --> 0:20:12.680
<v Speaker 1>best practices you can apply, but if you have to,

0:20:12.760 --> 0:20:15.280
<v Speaker 1>if you feel like you have to fundamentally change the

0:20:15.320 --> 0:20:18.280
<v Speaker 1>way you're communicating to get looked at by a company,

0:20:18.400 --> 0:20:21.920
<v Speaker 1>you're probably not going to enjoy working for that company

0:20:22.080 --> 0:20:24.800
<v Speaker 1>once you get there. So I'm always a little cautious

0:20:24.800 --> 0:20:29.560
<v Speaker 1>about telling job seekers to change themselves. Um. That said,

0:20:29.840 --> 0:20:33.360
<v Speaker 1>of course, you know, companies increasingly use things like resume

0:20:33.600 --> 0:20:40.080
<v Speaker 1>resume and keyword scanning software to even decide who to interview. Um,

0:20:40.119 --> 0:20:44.399
<v Speaker 1>we know that shorter resumes do better, you know, with software.

0:20:44.800 --> 0:20:49.719
<v Speaker 1>We know that resumes that include lots of active verbs

0:20:49.800 --> 0:20:53.040
<v Speaker 1>to describe tasks and accomplishments that you've had in the

0:20:53.080 --> 0:20:58.960
<v Speaker 1>past do better than resumes with sort of expository pros uh.

0:20:59.040 --> 0:21:02.919
<v Speaker 1>And its makes me a little bit nervous because you know,

0:21:03.160 --> 0:21:06.320
<v Speaker 1>I've done some work in the past looking at within

0:21:06.400 --> 0:21:09.560
<v Speaker 1>technology resumes of men and women, and men's resumes tend

0:21:09.600 --> 0:21:14.679
<v Speaker 1>to conform to the patterns that resume scanning software privileges

0:21:15.240 --> 0:21:19.560
<v Speaker 1>and women's do not, And so I never like to,

0:21:20.320 --> 0:21:23.879
<v Speaker 1>uh make a set of recommendations for that end up

0:21:23.920 --> 0:21:26.920
<v Speaker 1>being demographically selective in some way. But we can see

0:21:26.920 --> 0:21:30.479
<v Speaker 1>what what scanning software tends to privilege. Wait, that's so

0:21:30.520 --> 0:21:35.159
<v Speaker 1>crazy that companies now are using more technology to separate

0:21:35.520 --> 0:21:38.600
<v Speaker 1>the human interaction in the application process. I feel like,

0:21:38.840 --> 0:21:41.320
<v Speaker 1>you know, it's one thing to just apply to a faceless,

0:21:41.600 --> 0:21:45.000
<v Speaker 1>nameless job site, but now those applications aren't even being

0:21:45.080 --> 0:21:48.359
<v Speaker 1>read by people the first time around. Fewer humans and

0:21:48.480 --> 0:21:54.480
<v Speaker 1>human resources generally speaking, to get to the human part,

0:21:54.560 --> 0:21:57.000
<v Speaker 1>which I think is really scary for job seekers because

0:21:57.280 --> 0:21:59.520
<v Speaker 1>I think the human part is kind of the the

0:21:59.600 --> 0:22:01.560
<v Speaker 1>easiest part. Well, and I feel like you're and you

0:22:01.600 --> 0:22:03.960
<v Speaker 1>were saying before, obviously people don't want to change who

0:22:04.000 --> 0:22:06.399
<v Speaker 1>they are. And yet the way this whole thing is

0:22:06.440 --> 0:22:09.119
<v Speaker 1>being structured is almost like a game. Like if you

0:22:09.200 --> 0:22:14.200
<v Speaker 1>just have to get through a stage or in this case, um,

0:22:14.240 --> 0:22:16.480
<v Speaker 1>a piece of software to do you even just get

0:22:16.480 --> 0:22:18.240
<v Speaker 1>to the point of getting a face to face interview

0:22:18.240 --> 0:22:20.600
<v Speaker 1>with somebody, and so you have to play that game,

0:22:20.720 --> 0:22:23.920
<v Speaker 1>even if the game, you know, is flawed or biased

0:22:24.080 --> 0:22:26.720
<v Speaker 1>or or what have you. Yeah, I mean, I think

0:22:26.760 --> 0:22:29.199
<v Speaker 1>this is just a new game. I don't know that

0:22:29.240 --> 0:22:31.880
<v Speaker 1>it's more game than there's ever been in the past. Right,

0:22:31.920 --> 0:22:37.680
<v Speaker 1>I mean, even before technology was so pervasive, the majority

0:22:37.680 --> 0:22:40.840
<v Speaker 1>of hiring was word of mouth hiring, right, And so

0:22:41.080 --> 0:22:45.280
<v Speaker 1>already there's in network effects when you see that, right,

0:22:45.320 --> 0:22:47.800
<v Speaker 1>if I'm hiring from within my network, I'm hiring people

0:22:47.840 --> 0:22:50.159
<v Speaker 1>that I already know. So there's an advantage if you

0:22:50.200 --> 0:22:53.120
<v Speaker 1>know me and I'm the one hiring. Um. And so

0:22:53.400 --> 0:22:58.320
<v Speaker 1>I feel like you're right, Uh, there's definitely new dimensions

0:22:58.359 --> 0:23:01.920
<v Speaker 1>that come with the inclusion of technology. Um, I think

0:23:01.960 --> 0:23:07.959
<v Speaker 1>they may just reshape the challenge rather than creating a different,

0:23:08.359 --> 0:23:13.399
<v Speaker 1>different challenge, if that makes sense. So that's kind of

0:23:13.400 --> 0:23:16.200
<v Speaker 1>that's push and pull of being yourself and being human.

0:23:16.240 --> 0:23:20.320
<v Speaker 1>But also you seem to trust a lot in the data. Um.

0:23:20.560 --> 0:23:23.240
<v Speaker 1>You know, like you said, companies shouldn't use their intuitions.

0:23:23.400 --> 0:23:26.280
<v Speaker 1>The data might show that other things work. So but

0:23:26.520 --> 0:23:29.359
<v Speaker 1>are there times that when you looked through the data

0:23:29.400 --> 0:23:32.919
<v Speaker 1>and you recommended a company change a word or the

0:23:32.960 --> 0:23:35.879
<v Speaker 1>way they struct their job post and it had an

0:23:35.920 --> 0:23:42.440
<v Speaker 1>unintended effect? Definitely? Textdo has seen that companies may have,

0:23:43.080 --> 0:23:47.800
<v Speaker 1>you know, i'll call them very specific patterns to the company. Right,

0:23:47.880 --> 0:23:51.320
<v Speaker 1>So it turns out maybe what works to hire an

0:23:51.359 --> 0:23:55.240
<v Speaker 1>engineer if you're at a travel technology company, Yeah, all

0:23:55.280 --> 0:23:57.840
<v Speaker 1>of the same patterns that work for technology companies in

0:23:57.880 --> 0:24:01.800
<v Speaker 1>general apply, But if you're at a travel technology company, also,

0:24:01.880 --> 0:24:03.720
<v Speaker 1>the way you talk about travel is going to be

0:24:03.800 --> 0:24:06.560
<v Speaker 1>highly predictive of the quality of higher these days in

0:24:06.600 --> 0:24:09.200
<v Speaker 1>the market. If you talk about travel like it's old

0:24:09.240 --> 0:24:13.840
<v Speaker 1>school with travel agents and bookings, less effective at getting

0:24:13.880 --> 0:24:16.640
<v Speaker 1>great people in the market than if you're talking about

0:24:16.800 --> 0:24:20.760
<v Speaker 1>you know, an airbnb compete or um, you know, crowdsource

0:24:21.280 --> 0:24:25.560
<v Speaker 1>travel planning or something like that. And so definitely Texto

0:24:25.680 --> 0:24:29.440
<v Speaker 1>does find that, you know, sort of algorithmically, the patterns

0:24:29.520 --> 0:24:34.280
<v Speaker 1>that work may be highly tuned to your company's employment

0:24:34.359 --> 0:24:38.359
<v Speaker 1>brand or culture um and so you you know, the

0:24:38.400 --> 0:24:42.000
<v Speaker 1>guidance that that people at that company would want to

0:24:42.040 --> 0:24:45.000
<v Speaker 1>follow might be a little bit different. So you run

0:24:45.000 --> 0:24:48.960
<v Speaker 1>a company, you hire people, what have been some of

0:24:49.000 --> 0:24:52.520
<v Speaker 1>the issues that you've discovered in your own process of

0:24:52.640 --> 0:24:56.000
<v Speaker 1>staffing up Texto us Just like everybody else, one of

0:24:56.080 --> 0:24:59.159
<v Speaker 1>the big challenges is balancing between people are going to

0:24:59.240 --> 0:25:01.640
<v Speaker 1>bring different points of view and people who are going

0:25:01.720 --> 0:25:07.040
<v Speaker 1>to make a harmonious team because they don't always align well. Karen,

0:25:07.119 --> 0:25:09.399
<v Speaker 1>I want to thank you for joining us. Um. This

0:25:09.480 --> 0:25:12.120
<v Speaker 1>has been a terrific conversation. We've learned a lot and

0:25:12.200 --> 0:25:15.000
<v Speaker 1>hopefully well we're both very happy here at Bloomberg. We

0:25:15.040 --> 0:25:16.840
<v Speaker 1>would never dream of leaving the company. I don't never

0:25:16.840 --> 0:25:20.440
<v Speaker 1>going to apply for a job ever again. Should that

0:25:20.520 --> 0:25:23.400
<v Speaker 1>horrible day come, though, we will take these lessons with us.

0:25:23.520 --> 0:25:32.240
<v Speaker 1>Thanks for joining us. Absolutely having a names, everybody's told

0:25:32.240 --> 0:25:36.640
<v Speaker 1>their entire lives to be themselves in every kind of situation,

0:25:36.680 --> 0:25:40.160
<v Speaker 1>and that's also true for applying for a job. But

0:25:40.320 --> 0:25:43.760
<v Speaker 1>there's this creeping artificiality that starts to come in on

0:25:43.800 --> 0:25:46.240
<v Speaker 1>both sides of the equation. Companies seem to be incapable

0:25:46.280 --> 0:25:49.840
<v Speaker 1>of expressing themselves in a natural way, and probably a

0:25:49.840 --> 0:25:52.920
<v Speaker 1>lot of applicants do the same, and so people are

0:25:53.200 --> 0:25:56.080
<v Speaker 1>not even speaking the right language to each other and

0:25:56.080 --> 0:25:59.880
<v Speaker 1>and not even representing themselves honestly. Yeah, and she mentioned

0:26:00.160 --> 0:26:03.879
<v Speaker 1>language is constantly changing. She's telling companies that they have

0:26:04.040 --> 0:26:07.679
<v Speaker 1>to be more authentic and talk naturally, but then sometimes

0:26:07.680 --> 0:26:11.240
<v Speaker 1>when they do that, that alienates people too. So it's

0:26:11.240 --> 0:26:14.320
<v Speaker 1>a hard game to play. And it is a game exactly.

0:26:14.400 --> 0:26:16.439
<v Speaker 1>I mean, that's the thing, right, there's something about this

0:26:16.560 --> 0:26:18.920
<v Speaker 1>that it's a process to get you to the job,

0:26:18.960 --> 0:26:20.919
<v Speaker 1>but it has almost absolutely nothing to do with the

0:26:20.960 --> 0:26:23.320
<v Speaker 1>way that you will be doing your job. It doesn't

0:26:23.320 --> 0:26:25.960
<v Speaker 1>reflect it at all. No, not at all, unless you

0:26:26.000 --> 0:26:27.920
<v Speaker 1>have to take some sort of test or you're going

0:26:27.960 --> 0:26:31.160
<v Speaker 1>to work at like a recruiting agency. And even though

0:26:31.280 --> 0:26:36.399
<v Speaker 1>Karen's discovering some of the problems that employers have, it

0:26:36.520 --> 0:26:40.720
<v Speaker 1>does seem like technology isn't going to completely solve the problem. No, obviously,

0:26:41.080 --> 0:26:43.920
<v Speaker 1>we're never going to fully automate the hiring process, and

0:26:44.160 --> 0:26:46.520
<v Speaker 1>nor should we. I mean, this is going to be

0:26:47.080 --> 0:26:51.320
<v Speaker 1>an aspect of human relations and it's going to just

0:26:51.400 --> 0:26:54.720
<v Speaker 1>require better informed, smarter humans to really make it better.

0:26:54.920 --> 0:26:58.040
<v Speaker 1>Perhaps aided by technology, but not driven by it, which

0:26:58.080 --> 0:27:00.600
<v Speaker 1>is probably good because we work with humans that work

0:27:01.040 --> 0:27:04.360
<v Speaker 1>for now. And now it's time for my favorite segment,

0:27:04.880 --> 0:27:11.880
<v Speaker 1>half bake Takes. Half fake takes. Half bake takes are

0:27:12.400 --> 0:27:16.360
<v Speaker 1>when we have mildly informed opinions about things and air

0:27:16.440 --> 0:27:18.960
<v Speaker 1>them out right here, right now. So what's your take. Well,

0:27:19.000 --> 0:27:21.320
<v Speaker 1>this is obviously my favorite part of the show. My

0:27:21.440 --> 0:27:23.680
<v Speaker 1>half baked take for this week is a little bit

0:27:23.680 --> 0:27:26.920
<v Speaker 1>of table side etiquette. I would just like to put

0:27:26.920 --> 0:27:29.639
<v Speaker 1>out there a friendly reminder. If you're dining with a

0:27:29.680 --> 0:27:32.960
<v Speaker 1>group of people and you're the last person to order

0:27:33.040 --> 0:27:36.919
<v Speaker 1>with the waiter there, um, please have read everything on

0:27:36.960 --> 0:27:39.840
<v Speaker 1>the menu by the time it's your turn. Don't sort

0:27:39.840 --> 0:27:42.119
<v Speaker 1>of stare off into space and then finally you're the

0:27:42.160 --> 0:27:46.760
<v Speaker 1>last one and go, I don't know, salmon looks good.

0:27:47.119 --> 0:27:48.760
<v Speaker 1>If you're the last one to order, you have the

0:27:48.800 --> 0:27:51.800
<v Speaker 1>advantage of everyone else having ordered, so you know, like

0:27:51.840 --> 0:27:54.000
<v Speaker 1>if you just wanted a bite of the mac and cheese.

0:27:54.440 --> 0:27:56.400
<v Speaker 1>You don't have to order it, which is a huge

0:27:56.400 --> 0:28:00.000
<v Speaker 1>calculation in my brain. It is a tremendously advantageous position

0:28:00.160 --> 0:28:03.400
<v Speaker 1>to have. Don't waste it, Yeah, don't spoil it. Don't

0:28:03.480 --> 0:28:06.560
<v Speaker 1>don't just, you know, squander it for nothing. Be decisive,

0:28:06.640 --> 0:28:08.960
<v Speaker 1>be smart, be strategic, and come out of the dinner

0:28:09.040 --> 0:28:13.240
<v Speaker 1>a tremendous winner and hero. Yeah, yeah, are great take. Hey, thanks,

0:28:13.800 --> 0:28:17.720
<v Speaker 1>So my take is related to working in an open office,

0:28:17.760 --> 0:28:19.520
<v Speaker 1>which we have here and a lot of people work

0:28:19.560 --> 0:28:22.720
<v Speaker 1>in now. And I think if you are walking around

0:28:22.720 --> 0:28:26.840
<v Speaker 1>the open office, you cannot read over someone's shoulder onto

0:28:26.840 --> 0:28:30.200
<v Speaker 1>their computer screen without their permission. I know you're thinking,

0:28:30.400 --> 0:28:33.800
<v Speaker 1>what monster does this? Well, a certain producer of a

0:28:33.840 --> 0:28:37.160
<v Speaker 1>certain show has done this to me multiple times and

0:28:37.280 --> 0:28:39.880
<v Speaker 1>she thinks it's okay. And I am just putting that

0:28:39.920 --> 0:28:44.760
<v Speaker 1>take on this here show rhymes with you know, I

0:28:44.760 --> 0:28:46.920
<v Speaker 1>have actually done this on very rare occasions. But I

0:28:46.920 --> 0:28:49.200
<v Speaker 1>will say it's only with colleagues with whom I have

0:28:49.280 --> 0:28:52.719
<v Speaker 1>worked alongside them for many many years in fact, and

0:28:52.880 --> 0:28:56.280
<v Speaker 1>our friendly if not friends with Even then I might

0:28:56.280 --> 0:28:59.880
<v Speaker 1>say like, hey, I'm sorry, I couldn't help, but noticing, Yeah,

0:29:00.080 --> 0:29:03.200
<v Speaker 1>Liz and I are very close and she does have

0:29:03.280 --> 0:29:06.200
<v Speaker 1>permission to do that, and I'm obviously just kidding with her,

0:29:07.160 --> 0:29:10.040
<v Speaker 1>but it's just not cool. It's also true for phone calls.

0:29:10.440 --> 0:29:12.280
<v Speaker 1>Oh yeah, if you hear somebody on the phone and

0:29:12.320 --> 0:29:14.520
<v Speaker 1>you say, ah, you know, I had that too, but

0:29:14.560 --> 0:29:16.760
<v Speaker 1>I got an ointment and it all cleared right up.

0:29:17.320 --> 0:29:20.479
<v Speaker 1>It's just the issues we all have working in an

0:29:20.480 --> 0:29:23.000
<v Speaker 1>open office space. It's hard. You have to maintain the

0:29:23.040 --> 0:29:25.719
<v Speaker 1>illusion that you don't know things about Let's pretend at

0:29:25.800 --> 0:29:29.400
<v Speaker 1>least we have privacy. Okay, that's it for this week's

0:29:29.400 --> 0:29:36.560
<v Speaker 1>half big Takes, half Baked Takes. This has been another fascinating,

0:29:36.600 --> 0:29:40.520
<v Speaker 1>amazing episode of Game Plan. I'm Sam Grobart. Follow me

0:29:40.600 --> 0:29:43.760
<v Speaker 1>on Twitter at Sam Grobart and you can find me

0:29:44.000 --> 0:29:47.600
<v Speaker 1>at RZ Greenfield and our guest Kieren Snyder is also

0:29:47.640 --> 0:29:50.480
<v Speaker 1>on Twitter at Kieren Snyder. Thanks for listening. We'll talk

0:29:50.520 --> 0:30:17.200
<v Speaker 1>to you again soon. Bye. Get the most from your

0:30:17.240 --> 0:30:19.960
<v Speaker 1>people and send your business soaring with corn Ferry. From

0:30:20.000 --> 0:30:24.160
<v Speaker 1>executive search to talent strategy, leadership development, rewards and succession planning.

0:30:24.520 --> 0:30:27.280
<v Speaker 1>Corn Ferry knows up is more than a direction, it's

0:30:27.320 --> 0:30:30.280
<v Speaker 1>your future. Learn more at corn ferry dot com. Slash

0:30:30.360 --> 0:30:34.720
<v Speaker 1>up what kind of guests have you gotten? Um, the

0:30:34.840 --> 0:30:38.120
<v Speaker 1>strangest one was probably a magazine cut out of a

0:30:38.200 --> 0:30:42.160
<v Speaker 1>superhero with my face superimposed over it so that that

0:30:42.240 --> 0:30:43.360
<v Speaker 1>person didn't get the job