Abstract: An amount of time needed to fill a job requirement is forecasted. By executing a forecasting algorithm, a numerosity of resumes matching the job requirement during the amount of time is forecasted. Using the numerosity and the amount of time, a risk value is computed corresponding to the job requirement, the risk value being indicative of a probability that the job requirement will go unfulfilled in the amount of time. From a base tuple corresponding to the job requirement, a second tuple is constructed, the second tuple having a distance from the base tuple. In real-time a second risk value is computed corresponding to the second tuple. When the second risk value is less than the risk value, data of the second tuple is presented as a risk minimization option for the job requirement.