Emerging Markets Business Summer 2016 | Page 74

THINK AGAIN: CONCEPTS TO REVOLUTIONIZE PEOPLE DECISIONS AT A GLANCE Scientific thinking can revolutionize the way we make decisions about our workforce. If embraced, the following concepts can result in better people decisions: 1 - The Law of Large Numbers: The quantity of evidence needed to make a decision is a function of the error variance for that attribute. The smaller the sample, the greater the error. 2 - Regression to the Mean: If measured over time, extremes in performance will average out. In decision-making, consider the average, rather than single events. 3 - Opportunity Cost: Opting for cheaper or easier alternatives can come at an opportunity cost. You can pay the price for accepting good enough instead of holding out for great. 4 - Sunk Cost: Past expenditures cannot be recovered and trying to do so can result in wastage of time, money and resources. 5 - Self-selection: When we measure a target characteristic of a person (as opposed to assigning the characteristic), many other characteristics associated with the target could explain any given outcome. 6 - Control Testing: Randomized control testing and A/B tests can offer scientific method to people decisions. The method avoids the self-selection problem and makes it possible to be confident about causal relationships. 1.  The Law of Large Numbers Suppose a business leader interviews an applicant for the position of manager in a major division of his company. The applicant comes armed with a great track record, but the interviewer finds the applicant to be lackluster and somewhat tongue-tied. As a result, he tells his colleagues that he doesn’t think the applicant should be considered for the job. Reasonable decision or not? And suppose a football coach goes to watch a practice to observe a possible recruit—a striker who had earned great praise and had an impressive win-loss record. On the day, however, the player puts in a weak performance. Disappointed by what he sees, the coach tells his colleagues that the player should not be selected for the team. Reasonable decision or not? If you’re like most people, you may think the coach has been too hasty. One practice doesn’t provide a great deal of evidence about skill in football. Again, if you’re like most people, in the first example, the potential employer’s behavior may seem reasonable at first glance. But it’s not. It is actually a worse judgment than the coach’s. Here’s why: Interviews, which typically take just over half an hour, predict future competence in any business role to the tune of a correlation of .10. That’s the equivalent of raising the odds of picking the better of two applicants to 54 percent, up only slightly on the 50 percent chance you would get by tossing a coin. As strange as it may sound, not meeting the interviewee at all could yield better odds. The folder on any given candidate often contains enough information that, if weighted properly, can increase the likelihood of choosing the better of two candidates to the vicinity of 65 to 75%. So, in terms of choosing the right person for the job, a brief interview is often less useful than selecting a candidate off paper. Futhermore, interviews can actually be dangerous because we’re inclined to weight them too heavily in relation to their actual evidential value. So, why is it that people tend to make the right call for the coach and the wrong call for the employer? The answer lies in the fact that we are well aware of variation across occasions for athletic skill, but typically we don’t apply the same logic to business employees. We need to view every observation of a person as just a sample from that individual’s behaviors. That will lead us to the need to apply the law of large numbers. This means that the quantity of evidence we need in order to make a judgment about an attribute of a person, place or thing is a function of the error variance for that attribute. In simple terms, the smaller the sample, the greater the error. 72  Emerging Markets Business  Summer 2016 • Issue No. 1 40 MINUTES Interview Success Formula, a company dedicated to helping job seekers ace interviews, collated information from multiple sources including the US Bureau of Labor Statistics and The Wal l Street Journal, to reveal useful stats for job hunters. According to the company’s research, the average job interview lasts 40 minutes. Before reaching that stage, however, many companies sift out up to 50% of applications using talent management software. REGRESSION TO THE MEAN Imagine you have a great meal at the new Indian restaurant in town. You can expect that the next meal is not going to be as good. This is not because there’s a new chef or because your expectations were too high. Rather, there are more restaurants in the world where you can get an excellent meal some of the time than there are restaurants where you can get an excellent meal every time. That’s another way of saying there are more restaurant meals close to the mean than there are meals that are far away from it.