Testing inferences at each step of the decision-making process is one way to achieve such fairness in a world of constant assumptions
Imagine that you, as a manager, have two employees in similar positions, one whose personality you enjoy and one who gets on your nerves. They make the same small but significant mistake. A few months later, you don’t mention the mistake in the first employee’s performance review because it just doesn’t stand out when you think back on her work. However, you do focus on it in the second employee’s review, and it seems to have grown in significance the more you think about it.
Or: You are at a restaurant and the server spills wine on your new shirt. She has been abrupt and aloof the whole meal, so you assume that she is not that sorry about the incident. However, a few hours earlier, a store clerk left one of your items out of your bag, forcing you to drive back to the store to retrieve it. He had been so kind the whole time you were shopping, though. You want to give him the benefit of the doubt.
Though each of these mistakes is similar to its counterpart, your inferences about each person colour the way you think about an incident. This is simply human nature—we make thousands of inferences every day—but understanding how powerfully those inferences affect our thinking is an important tool for clarifying our decision-making process and minimizing bias in the workplace and beyond.
Such is the focus of a technical note co-authored by John L. Colley Professor of Business Administration James R. Detert and Britton Taubenfeld, (I Think) I Know Why You Did That: The Risky Business of Inferring Intentions. The note describes a scenario study in which Bill, an employee at a large financial firm selling investment packages, is on the phone with clients explaining the benefits of an investment. He receives another call and ends his first call without telling his clients about the investment’s risk. Instead, Bill just says he will send over the paperwork for them to sign.
In the study, one group of participants was told that Bill is a nightmare employee who regularly takes personal calls in the office and takes risks with his clients. Another group was told that Bill is generally a conscientious employee, but his daughter was hospitalized, and he picked up the other line expecting a call from the hospital. He later regretted not going over the risks with his clients.
[This article has been reproduced with permission from University Of Virginia's Darden School Of Business. This piece originally appeared on Darden Ideas to Action.]