Delete comment from: Simplicity @ the other side of Complexity
@GoRo Thank you. To me, the best way to deal with a possible bias is to be aware of it and also create behavioral nudges to reduce the risk of it affecting the quality of the decisions. Mathematically, 2-2 = 0 and hence the biases can cancel out. In practice, there is no way of knowing if the bias on the part of a particular employee is going to add a positive offset of 4, 3, 2, 1, 0.5, 0, -1 etc. Remember, the above average bias is a statistical phenomenon in a group of employees and it can't predict what exactly will happen in the case of a particular employee. Of course, there are variations across groups also. So we can't bank on two wrongs acting in perfect harmony to make the answer right! So it is much better to manage the possible bias (and hence prevent it from happening to the best possible extent) than to assume it and correct for it using a fixed algorithm. Actually, this is the kind of approach that often coverts budgeting to such a comical exercise (you add buffers thinking that Finance will any way cut it)!
Sep 16, 2018, 11:44:09 PM
Posted to Performance ratings and the ‘above average effect’