Humanyze, an MIT spin off led by Ben Waber, who coined the term people analytics, tags employees and leaders with sensors that capture their movements, communications, and even physiological responses (e.g., stress, excitement, and boredom). Just by analyzing anonymous group-level data, the firm can help organizations identify invisible elements of work relations, such as the hidden power dynamics, in a firm.
For example, in a recent study reported in Harvard Business Review, Waber and his team set out to decode the behavioral differences between men and women in a large multinational firm and explore whether such differences could partly explain the underrepresentation of women in the senior leadership ranks (where they accounted for just 20 percent). The researchers gathered email data, meeting schedule data, and location data for hundreds of employees, across all seniority levels, over four months. Of particular relevance was the data collected with sensors some employees wore. The sensors recorded who talked with whom; where, when, and for how long people communicated with each other; and who dominated each conversation. Waberâs team expected to find behavioral differences between men and women pertaining to peopleâs drive and networking habits: âPerhaps women had fewer mentors, less face time with managers, or werenât as proactive as men in talking to senior leadership.â However, the results showed no significant differences between what women and men did at work: âWomen had the same number of contacts as men, they spent as much time with senior leadership, and they allocated their time similarly to men in the same role. We couldnât see the types of projects they were working on, but we found that men and women had indistinguishable work patterns in the amount of time they spent online, in concentrated work, and in face-to-face conversation. And in performance evaluations men and women received statistically identical scores. This held true for women at each level of seniority. Yet women werenât advancing and men were.