Hittability: The Leader's Edge
1W. Souba is former dean and professor of surgery and medical education, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Abstract:
Mastery of any discipline entails both the requisite skills and the ability to see things as "hittable." However, the concept of "hittability," which, in the context of leadership, refers to whether or not a specific leadership challenge shows up as hittable (or solvable) for those who are responsible for taking it on, is consistently overlooked. Nevertheless, it is a critical determinant of leadership effectiveness. Hittability is a function of the framing lenses-a person's beliefs, values, and worldviews-which frame the way a person "sees" a leadership challenge. Additionally, the future a person is "living into" is the framing lens for the present. In other words, a person's view of the future shapes his or her view of the present and his or her actions within it. Because the beliefs, values, and worldviews that constitute our framing lenses are constituted in and accessible through language (i.e., in the day-to-day stories, or narratives, a person tells him- or herself), reframing them to create a new future requires a new narrative. The ability to shift the previously unhittable to the hittable won't be, primarily, due to some newly acquired knowledge. Rather, it will be the result of reframing our challenges so they show up as hittable.
Related Concept Videos
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Probability Laws
Probability Histograms
Binomial Probability Distribution
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Expected Value


