Abstract: An interactive voice response system that allows a caller to perform a series of sequential tasks based on an instruction set. The caller is queried after each instruction to ensure that the caller has successfully completed all of the steps. Additionally, provisions are provided to automatically pause the instruction set and present reminders to the caller. Further the caller may elect to repeat instructions, back up the instruction set, receive additional details, transfer to a service representative, or receive summary information.

Abstract: A method and system for automating customer slamming and cramming complaints includes an automated reporting system having one or more receiving devices and a complaint module. Customers who want to report a slam or cram access the automated reporting system and report the complaint without having to speak with a customer service representative. The complaint module obtains the customer telephone number and retrieves customer account information using the customer telephone number. Using the customer account information, the complaint module extrapolates a type of complaint for the customer complaint and prompts the customer for information regarding the customer complaint and the type of the complaint. The customer provides customer responses to the prompts and the complaint module provides an indication to the customer regarding each customer response.

Abstract: A communication system includes a criteria matrix for calculating a dialogue score in response to a request for a dialogue model from a dialogue node within a communication action. The criteria matrix also incorporates a dialogue selection table for selecting an appropriate dialogue type, based on the calculated score.

Abstract: A system and method are disclosed for processing a call by receiving caller input in a speech format and utilizing phonemes to convert the speech input into word strings. The word strings are then converted into at least one object and at least one action. A synonym table is utilized to determine actions and objects. Objects generally represent nouns and adjective-noun combinations while actions generally represent verbs and adverb-verb combinations. The synonym table stores natural language phrases and their relationship with actions and objects. The actions and objects are utilized to determine a routing destination utilizing a routing table. The call is routed based on the routing table.

Abstract: A method is provided that identifies and categorizes the reason a customer contacts a customer service center, i.e. the customer's goal or problem. In addition, the method allows the customer to be categorized into a set of behavior-based groupings. This integration of goal and customer categorization establishes the foundation to optimally direct the customer's request through an appropriate center. This method can collect information regarding the customer's behavior and can use that behavioral information to determine the optimal manner for handling the customer request.

Abstract: A method and system for use with a customer call center that processes telephone calls. If the customer is placed on hold at anytime during the call, the customer is provided with an audio indication that notifies the customer of expected duration of the wait time and the progress of the task that resulted in the wait.

Abstract: A method of evaluating a design for a call center system. A particular system is put into use and data collected to quantify various quality of service factors. Each quality of service factor is multiplied times an expense multiplier and added to an agent cost factor. The result is a metric that describes the system in monetary terms.

Abstract: A method of designing an interface system that allows users to map the representation of their task directly to the interface. There are three major phases to the Customer-Centric Approach to Interface Design (C-CAID). End-users' tasks are categorized to determine the frequency of reasons or tasks of why users interact with a particular system. These reasons and their relative frequencies are used to design interface options that emphasize the user's task categories. Finally, the customer-centric interface designs are evaluated and compared with existing system interfaces using usability tests with actual users performing the tasks. The results from usability tests are used to pinpoint the task-option combinations that do not work well and which should be revised. Benefits of this customer-centric design are improved systems performance and increased user satisfaction.

Abstract: A method of providing a caller with a directory assistance dialog. The dialog is configurable, at any level of the dialog, from an automated speech recognition (ASR) dialog to an operator-assisted (OP) dialog. The dialog is handed off to an operator if any level of the speech recognition dialog fails. Also, a configuration switch may be set to cause the dialog to be handed off to an operator even if a response at some level of the ASR dialog is successfully recognized.

Abstract: A method and system for automating the analysis of word frequencies includes a frequency system automatically analyzing a plurality of statements, a count engine, and a cluster engine. The count engine allows for the counting of unique words in the statements and the determination of a frequency of occurrence for each unique word. The frequency system further includes a phrase file allowing for the count engine to specify groups of words as single unique words and a synonym file allowing for the count engine to group one or more words together in synonym groups to be specified as single unique words. The cluster engine locates a plurality of clusters in the statements and determines a cluster frequency of occurrence for each of the clusters. The automated analysis of the statements allows for cost savings, more efficient use of time, and more reliable and consistent word frequency results.

Abstract: A customer service call system that provides both manual (assisted by a service representative) and automated problem solving dialogs. A routing process determines which dialog is appropriate for incoming calls. The routing process determines a probability that the automated system will resolve the problem and also determines an expected hold time for the customer to reach the manual dialog. The routing process uses this information to determine how the call should be routed.

Abstract: A method for analyzing and adjusting the performance of a speech-enabled application includes selecting a number of user utterances that were previously received by the speech-enabled application. The speech-enabled application receives such user utterances and associates each user utterance with an action-object based on one or more salient terms in the user utterance that are associated with the action-object. The method further includes associating one of a number of action-objects with each of the selected user utterances. Furthermore, for each action-object, the percentage of the utterances associated with the action-object that include at least one of the salient terms associated with the action-object is determined. If the percentage does not exceed a selected threshold, the method also includes adjusting the one or more salient terms associated with the action-object.

Abstract: A method that incorporates a detailed, precise procedure of designing a user interface by utilizing agent behavioral models. This method applies quantitative and qualitative agent behavioral models derived through the Categorize Describe-Model (CDM) methodology to the iterative design stage of interface development. The method includes: (1) categorizing at least two users; (2) validating targeted user behaviors and preferences; (3) capturing emergent behaviors and preferences; (4) tracking design requirements and implementations; (5) accommodating diversity in performance and preference during interactive testing; and (6) customizing a user interface design to each of the at least two users.

Abstract: A communication system includes a selection module for selecting appropriate user interface types for nodes within a task. The selection module interacts with a selection criteria library and a user interface dialogue model library to determine an appropriate user interface. Selection criteria library and user interface dialogue model library may be selectively and dynamically adapted to reflect environmental, customer and organization changes.

Abstract: A method is provided for designing an interface system. The method includes receiving a call from a customer at a call center, and logging a reason the customer is calling the call center. Subsequently, reasons from multiple customers are collected and categorized into task categories to be performed by the interface system. Menu options can then be designed based upon the task categories. The menu options include some of the language the customers used to express the reason for calling the call center. Performance of the interface system is evaluated by using cumulative response time (CRT), which is a total time a user interfaces with the system, and routing accuracy. The routing accuracy accounts for whether the user successfully navigated the interface system to a correct destination, whether the user navigated to an incorrect destination, and whether the user did not navigate to any destination.

Abstract: The present invention relates to a customer call routing menu employing an interactive voice response system (IVR) to process a call in a customer service center. The menu messages are provided in terms of customer tasks to be performed, rather than in terms of corporate units. Further, the menu messages are arranged and played to the caller in the order of the most frequently requested tasks and include terminology commonly used by customers.

Abstract: A method of providing a caller with a directory assistance dialog. The dialog is configurable, at any level of the dialog, from an automated speech recognition (ASR) dialog to an operator-assisted (OP) dialog. The dialog is handed off to an operator if any level of the speech recognition dialog fails. Also, a configuration switch may be set to cause the dialog to be handed off to an operator even if a response at some level of the ASR dialog is successfully recognized.

Abstract: A computer-implemented method is described for optimizing prompts for a speech-enabled application. The speech-enabled application is operable to receive communications from a number of users and communicate one or more prompts to each user to illicit a response from the user that indicates the purpose of the user's communication. The method includes determining a number of prompt alternatives (each including one or more prompts) to evaluate and determining an evaluation period for each prompt alternative. The method also includes automatically presenting each prompt alternative to users during the associated evaluation period and automatically recording the results of user responses to each prompt alternative. Furthermore, the method includes automatically analyzing the recorded results for each prompt alternative based on one or more performance criteria and automatically implementing one of the prompt alternatives based on the analysis of the recorded results.

Abstract: A method for intelligently routing customer communications to an agent includes receiving a customer's request to initiate communications. A modality of the requested communications is identified and a profile of the customer is obtained. An agent model is generated for each modality supported by each agent. An agent model is selected from a set of agent models for each of a set of agents, based upon the identified modality. The profile of the customer is compared with the selected model for each of the set of agents to determine a best match. A communications connection is established between the customer and the best matched agent.

Abstract: A method is provided for modeling types of customer service representatives that use a customer service representative interface. The models are used to provide data for designing the customer service representative interface. The method includes identifying behavior types of customer service representatives that use the customer service representative interface and modeling the identified behavior types of the customer service representatives to design a desired customer service representative interface.