The primary goal of the Salary Survey was to identify which features had the strongest influence on an individual’s compensation. Ideally, this would have provided insights into what actions an individual could take to maximize their worth. The results of the analysis were significantly less inspiring than anticipated. Overall, the analysis found that when compared to random prediction models, somewhere between 81% and 93% of the ability of the collected data to predict an individual’s compensation could be summarized by an individual’s country of employment, years of experience, and (for United States based workers) what percent of your total compensation is guaranteed vs variable.