Knowledge Center: Article
Human Resources Officers
Three Ways Analytics Can Improve Diversity in the Workplace1/19/2017 Krishnan Rajagopalan, Brad Warga and Zachary Shen
Ready or not, a technological revolution is coming to human resources that could help level the playing field for millions of diverse job candidates and employees. It’s taking shape on three fronts.
First, automation is enabling companies to evaluate applicants through a broader, more meritocratic set of filters than the usual mix of job experience and educational credentials—all while reducing or removing the effect of unconscious biases. Harnessing advances in computer power and analytics, progressive companies can now create candidate profiles that incorporate thousands of data points: résumé data as well as unstructured data, including publicly available online information about a candidate’s interests, work products, connections, “likes” on social media, and much more. What emerges from the algorithms is a more broadly comprehensive profile of the candidate, including strengths that traditional criteria might miss.
For example, through the quality of her work and favorable peer reaction to it online, a computer engineer might emerge as the best candidate for a particular job, even if she didn’t graduate from Stanford or put in time at Google. We’ve all known people who didn’t attend a great school or work for a prestigious company yet produced stellar results. Now, instead of being overlooked or potentially excluded by unconscious human biases, they can be automatically included by these new techniques.
2. Predictive intelligence
Second, predictive intelligence can help profile a company’s proven top performers, distinguish them from mediocre and poor ones, and then be used to develop a powerful, analytically derived picture of an ideal candidate to fill a position internally or join the company. That profile can then be proactively applied to hundreds of thousands of people who might conceivably qualify—say, all of the recent graduates in a discipline that is central to the company—thus casting the widest and most inclusive possible net for talent. The candidate information can also be used as a platform from which to launch “candidate relationship management” systems, just as marketing departments maintain customer relationship management systems. And once the return on investment in the form of cost, quality, and speed of this approach can be calculated, these potentially more inclusive recruiting practices will be become an established fact of life, benefitting companies and diverse candidates alike.
3. Internal social media
Third, internal social media platforms can help ensure that after candidates win jobs they will be treated fairly in performance reviews, on which pay and promotions depend. Tools like Workplace by Facebook, Yammer, and Chatter enable the entire organization to recognize, comment on, and “like” various activities and projects in real time, lightening the burden on bosses who may struggle to recall the influence and impact someone had throughout the year on multiple projects. The result is a performance record that accrues almost automatically and encompasses a far wider range of opinion than the traditional 360-degree review. And the transparency of these platforms can let the light shine on role models throughout the organization, regardless of their title or place in the corporate hierarchy.
None of these developments is without potential pitfalls. Algorithms don’t write themselves, and their authors will have to take care not to embed biases in them. Similarly, companies must keep sharp for unintended consequences: for example, ideal candidate profiles run the risk of reproducing the “company type” and foreclosing opportunity for those who don’t fit the mold. And social media could tempt some employees to try to game the system. But none of those dangers should deter us from pressing ahead. Used in tandem with traditional recruiting approaches, practices, and tools (including the old-fashioned but still reliable face-to-face interview), these technologies hold real promise for greater equity in employment.
About the authors
Krishnan Rajagopalan (firstname.lastname@example.org) is president and CEO of Heidrick & Struggles; he is based in the Washington, DC, office.
Zachary Shen is an alumnus of the San Francisco office.
Brad Warga (email@example.com) is a principal in the San Francisco office and a member of the Global Technology & Services Practice.
A version of this article originally appeared in Tata Consultancy Services’ blog, #DigitalEmpowers.