1. A computer-implemented method, comprising: receiving identification information regarding a first set of representatives; retrieving a first set of recordings of conversations associated with the first set of representatives, wherein each conversation includes at least one of multiple customers and at least one representative from the first set of representatives; retrieving a second set of recordings of conversations associated with a second set of representatives, wherein each conversation includes at least one of the multiple customers and at least one representative from the second set of representatives; extracting a first set of features from the first set of recordings and a second set of features from the second set of recordings to generate multiple features, wherein the multiple features indicate characteristics of any of (a) a customer of multiple customers in the corresponding conversation, (b) a representative of multiple representatives in the corresponding conversation, (c) the corresponding conversation; generating a first pattern data by analyzing the first set of features, the first pattern data indicative a pattern of the conversation of the first set of representatives; generating a second pattern data by analyzing the second set of features, the second pattern data indicative of a pattern of the conversation of the second set of representatives; and generating multiple distinctive features that are distinctive between the first pattern data and the second pattern data by analyzing the first set of features and the second set of features.