DIVERSITY & 3 Steps to Start Designing a Bias-Free Organization

Commentary by Dr. Whitesel: Subtle practices in language, hiring, promotion and programming in an organization can unintentionally lead to unintended and unexpected biases. Read this seminal interview with Iris Bohnet, director of the Women and Public Policy Program at the Harvard Kennedy School, cochair of the Behavioral Insights Group and author of the book, What Works, about how researchers have discovered how to foster a more bias-free organization.

Designing a Bias-Free Organization

by Gardiner Moorse, Harvard Business Review, July-August 2016.

Iris Bohnet thinks firms are wasting their money on diversity training. The problem is, most programs just don’t work. Rather than run more workshops or try to eradicate the biases that cause discrimination, she says, companies need to redesign their processes to prevent biased choices in the first place.

Bohnet directs the Women and Public Policy Program at the Harvard Kennedy School and cochairs its Behavioral Insights Group. Her new book, What Works, describes how simple changes—from eliminating the practice of sharing self-evaluations to rewarding office volunteerism—can reduce the biased behaviors that undermine organizational performance. In this edited interview with HBR senior editor Gardiner Morse, Bohnet describes how behavioral design can neutralize our biases and unleash untapped talent…

HBR: Organizations put a huge amount of effort into improving diversity and equality but are still falling short. Are they doing the wrong things, not trying hard enough, or both?

Bohnet: There is some of each going on. Frankly, right now I am most concerned with companies that want to do the right thing but don’t know how to get there, or worse, throw money at the problem without its making much of a difference. Many U.S. corporations, for example, conduct diversity training programs without ever measuring whether they work. My colleague Frank Dobbin at Harvard and many others have done excellent research on the effectiveness of these programs, and unfortunately it looks like they largely don’t change attitudes, let alone behavior. (See “Why Diversity Programs Fail” by Frank Dobbin.)

I encourage anyone who thinks they have a program that works to actually evaluate and document its impact. This would be a huge service. I’m a bit on a mission to convince corporations, NGOs, and government agencies to bring the same rigor they apply to their financial decision making and marketing strategies to their people management. Marketers have been running A/B tests for a long time, measuring what works and what doesn’t. HR departments should be doing the same.

What does behavioral science tell us about what to do, aside from measuring success?

Start by accepting that our minds are stubborn beasts. It’s very hard to eliminate our biases, but we can design organizations to make it easier for our biased minds to get things right. HBR readers may know the story about how orchestras began using blind auditions in the 1970s. It’s a great example of behavioral design that makes it easier to do the unbiased thing. The issue was that fewer than 10% of players in major U.S. orchestras were women. Why was that? Not because women are worse musicians than men but because they were perceived that way by auditioners. So orchestras started having musicians audition behind a curtain, making gender invisible. My Harvard colleague Claudia Goldin and Cecilia Rouse of Princeton showed that this simple change played an important role in increasing the fraction of women in orchestras to almost 40% today. Note that this didn’t result from changing mindsets. In fact, some of the most famous orchestra directors at the time were convinced that they didn’t need curtains because they, of all people, certainly focused on the quality of the music and not whether somebody looked the part. The evidence told a different story…

What are examples of good behavioral design in organizations?

Well, let’s look at recruitment and talent management, where biases are rampant. You can’t easily put job candidates behind a curtain, but you can do a version of that with software. I am a big fan of tools such as Applied, GapJumpers, and Unitive that allow employers to blind themselves to applicants’ demographic characteristics. The software allows hiring managers to strip age, gender, educational and socioeconomic background, and other information out of résumés so they can focus on talent only.

There’s also a robust literature on how to take bias out of the interview process, which boils down to this: Stop going with your gut. Those unstructured interviews where managers think they’re getting a feel for a candidate’s fit or potential are basically a waste of time. Use structured interviews where every candidate gets the same questions in the same order, and score their answers in order in real time.

You should also be thinking about how your recruitment approach can skew who even applies. For instance, you should scrutinize your job ads for language that unconsciously discourages either men or women from applying. A school interested in attracting the best teachers, for instance, should avoid characterizing the ideal candidate as “nurturing” or “supportive” in the ad copy, because research shows that can discourage men from applying. Likewise, a firm that wants to attract men and women equally should avoid describing the preferred candidate as “competitive” or “assertive,” as research finds that those characterizations can discourage female applicants. The point is that if you want to attract the best candidates and access 100% of the talent pool, start by being conscious about the recruitment language you use.

What about once you’ve hired someone? How do you design around managers’ biases then

The same principle applies: Do whatever you can to take instinct out of consideration and rely on hard data. That means, for instance, basing promotions on someone’s objectively measured performance rather than the boss’s feeling about them. That seems obvious, but it’s still surprisingly rare…

How can firms get started?

Begin by collecting data. When I was academic dean at the Harvard Kennedy School, one day I came to the office to find a group of students camped out in front of my door. They were concerned about the lack of women on the faculty. Or so I thought. Much to my surprise, I realized that it was not primarily the number of female faculty that concerned them but the lack of role models for female students. They wanted to see more female leaders—in the classroom, on panels, behind the podium, teaching, researching, and advising. It turns out we had never paid attention to—or measured—the gender breakdown of the people visiting the Kennedy School.

So we did. And our findings resembled those of most organizations that collect such data for the first time: The numbers weren’t pretty.

Here’s the good news. Once you collect and study the data, you can make changes and measure progress…

Read more at … https://hbr.org/2016/07/designing-a-bias-free-organization