Abstract: A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into first and second constituent voice data. One of the first and second constituent voice data is analyzed. The analysis consist of translating one the constituent voice data into a text format and applying a predetermined linguistic-based psychological behavioral model to the translated voice data. In applying the behavioral model, the translated voice data is mined, and behavioral signifiers associated with the psychological behavioral model are identified in the voice data. The behavioral signifiers are automatically associated with at least one of a plurality of personality types associated with the psychological behavioral model. Behavioral assessment data is generated which corresponds to the analyzed voice data.

Abstract: A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into at least first constituent voice data and second constituent voice data. One of the first and second constituent voice data is analyzed by mining the voice data and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent voice data. Behavioral assessment data is generated which corresponds to the analyzed voice data.

Abstract: A method of determining the complexity of a telephonic communication received by a contact center is provided. The method comprises the step of establishing a call rule based on one or more of a call duration threshold, a non-interaction threshold, a distress event threshold, a third party dialog threshold, and a call transfer threshold. A recorded telephonic communication is received and call attributes associated with the telephonic communication are determined. The call attributes include one or more of the following: call duration data, non-interaction data, distress event data, third party dialog data and call transfer data. The established call rule is compared to the call attributes of the telephonic communication, and data indicative of the complexity of the telephonic communication is generated.

Abstract: A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into at least first constituent voice data and second constituent voice data. One of the first and second constituent voice data is analyzed by mining the voice data and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent voice data. Behavioral assessment data is generated which corresponds to the analyzed voice data.

Abstract: A method and system for aggregating data associated with a plurality of interactions between at least one customer and at least one agent for generating business process analytics is provided. The method is implemented by a non-transitory computer readable medium having a plurality of code segments and includes selecting a range of the organized plurality of agents and identifying a plurality of interactions associated with an organized plurality of agents within the selected range, receiving voice data associated with each of the identified interactions and analyzing the voice data, agent call activity data, customer call activity data, and customer history data associated with each of the identified interactions, and generating business process analytics for the identified interactions.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing telephonic communications between customers and a contact center to determine and display the most relevant communications to an organization or business.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing a telephone communication between a customer and a contact center to determine communication objects, forming segments of like communication objects, determining strength of negotiations between the contact center and the customer from the segments, and automate setup time calculation.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing a telephone communication between a customer and a contact center to determine early termination of a telephonic communication.

Abstract: A computer readable medium for controlling a computer is provided. The computer readable medium comprises a plurality of code segments for controlling a computer. A code segment receives a telephonic communication comprised of voice data and event data. A code segment receives computer application data comprising data associated with at least one computer application in use during the telephonic communication. A code segment analyzes the telephonic communication by translating the received voice data into a text format, the text format defining a plurality of components. At least one component of the text data and communication event data occurring during a time interval is classified into one of a plurality of object types, and the computer application data during the time interval is compared to the object type of the classified components.

Abstract: The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing a telephone communication between a customer and a contact center to determine inappropriate threats made during a telephonic communication.

Abstract: A method for searching for one or more recorded telephone communications between one or more customers and a contact center comprising is provided. The method is implemented by a computer readable medium having a plurality of code segments. One or more telephone communications is analyzed and assessment data is assigned thereto. The assessment data of the telephone communications is searched for at least one search criterion, and at least one telephone communication having assessment data matching the search criterion is identified. A representation of the matching telephone communication is then displayed.

Abstract: A method and system for automatically monitoring a performance area for a contact center is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method includes the step of identifying a performance area including one or more of the following: human activity-based performance, caller dissatisfaction performance, problem call performance, customer service representative performance, business process performance, self service performance and peer comparison performance. An input transmission of a threshold for the identified performance area is received. Analytics generated for each of a plurality of interactions are received. For each of the plurality of interactions, analytics are selected that correspond to the identified performance area. An indicator value is assigned to the selected analytics for the identified performance area. The indicator value is compared to the threshold and performance data is generated therefrom.

Abstract: A method of determining the complexity of a telephonic communication received by a contact center is provided. The method comprises the step of establishing a call rule based on one or more of a call duration threshold, a non-interaction threshold, a distress event threshold, a third party dialog threshold, and a call transfer threshold. A recorded telephonic communication is received and call attributes associated with the telephonic communication are determined. The call attributes include one or more of the following: call duration data, non-interaction data, distress event data, third party dialog data and call transfer data. The established call rule is compared to the call attributes of the telephonic communication, and data indicative of the complexity of the telephonic communication is generated.

Abstract: A method and system for aggregating data associated with a plurality of interactions between at least one customer and at least one agent for generating business process analytics is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method includes the step of organizing a plurality of agents based on a predetermined criteria. The method also includes the step of selecting a range of the organized plurality of agents and identifying a plurality of interactions associated with the organized plurality of agents within the selected range. The method also includes the step of receiving voice data associated with each of the identified interactions. The method also includes the step of receiving agent call activity data associated with each of the identified interactions, the agent call activity data comprising at least one of agent on-call activity data, agent after-call activity data, and agent screen analytics and desktop recording.

Abstract: A method and system for aggregating data associated with an interaction between a customer and a customer service representative is provided. The method is implemented by a readable medium having a plurality of code segments. The method includes the step of receiving customer service representative call activity data, the customer service representative call activity data including one or more of the following data types: customer service representative on-call activity data, customer service representative after-call activity data, customer service representative screen analytics, customer service representative desktop recording data. The method also includes the step of receiving customer call activity data. The method also includes the step of receiving an interaction between a customer and a customer service representative and generating associated voice data from the interaction.

Abstract: A method for automatically routing a telephonic communication to at least one of a plurality of communication destination addresses is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method comprises the step of receiving customer identifier and communicating with a customer history database configured to store historic data. The method also includes determining whether the received customer identifier corresponds to a stored customer identifier in the customer history database. Historic data corresponding to the stored customer number is identified based on the comparison of the received customer identifier and the stored customer identifier. The telephonic communication is associated with a predetermined communication destination based on the identified historic data. The associated communication data is transmitted to a switching signal.

Abstract: A method for managing communications between a customer and a contact center is provided. The communication may include voice data, interactive response data and web interaction data. Upon the receipt of an interaction identifier, related conversation data is located. Following the location of the related conversation data, the conversation data is organized sequentially. The organized conversation data may then be analyzed and distress data, behavioral assessment data and event data may be determined, either for each individual interaction segment or the entire combined experience. Following the analysis, the organized conversation data may then transfer the organized conversation data to a portal for display to a user. Further, the associated statistics can be viewed in reporting within the portal or systematically extracted from the system for further analysis.

Abstract: A computer program for analyzing a telephone call between a customer and a call center is provided. The computer program comprises a code segment for analyzing a telephonic communication by applying a pre-determined retention attrition criteria to the telephonic communication to calculate an attrition probability, a code segment for receiving customer value data associated with the customer, a code segment for comparing the attrition probability with the customer value data, and a code segment for generating a retention strategy based on comparing the attrition probability with the customer value data.

Abstract: A computer program for training a customer service representative by analyzing a telephonic communication between a customer and a contact center is provided. A code segment selects at least one identifying criteria. A code segment identifies a pre-recorded first telephonic communication corresponding to the selected identifying criteria. The first telephonic communication has first event data associated therewith. A code segment generates coaching assessment data corresponding to the identified pre-recorded first telephonic communication. A code segment identifies a pre-recorded second telephonic communication corresponding to the selected identifying criteria. The second telephonic communication has second event data associated therewith. A code segment compares the identified pre-recorded second telephonic communication to the identified first telephonic communication within the coaching assessment data.

Abstract: A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into first and second constituent voice data. One of the first and second constituent voice data is analyzed. The analysis consist of translating one the constituent voice data into a text format and applying a predetermined linguistic-based psychological behavioral model to the translated voice data. In applying the behavioral model, the translated voice data is mined, and behavioral signifiers associated with the psychological behavioral model are identified in the voice data. The behavioral signifiers are automatically associated with at least one of a plurality of personality types associated with the psychological behavioral model. Behavioral assessment data is generated which corresponds to the analyzed voice data.