Patent Abstract:
A method and apparatus trains agents in a call center by directing a plurality of telecommunication calls to an agent by a controller wherein a percentage of the telecommunication calls are unskilled telecommunication calls that the agent is unskilled at processing; calculating by the controller average success of the agent in handling all of the unskilled telecommunication calls; calculating by the controller average stress of the agent in handling all of the unskilled telecommunication calls; increasing the percentage of unskilled telecommunication calls by the controller upon average success being greater than a predefined level of success and the average stress being less than a predefined level of stress; and stopping after the percentage equals a predefined percentage.

Full Description:
TECHNICAL FIELD 
     This invention relates to training agents in a call center for performing additional types of work. 
     BACKGROUND OF THE INVENTION 
     Within the art, a number of different types of customer resource management systems (also referred to as call centers, contact centers, or automatic call distribution systems) are known. One of the problems in customer resource management systems is to retrain agents who are good at performing one type of work in a customer resource management system but need to be trained to perform an additional type of work. This retraining is commonly referred to as upskilling. Within the prior art, this retraining process is a manual process controlled by the agent&#39;s supervisor who must constantly monitor and set goals for the agent. 
     SUMMARY OF THE INVENTION 
     A method and apparatus trains agents in a call center by directing a plurality of telecommunication calls to an agent by a controller wherein a percentage of the telecommunication calls are unskilled telecommunication calls that the agent is unskilled at processing; determining by the controller success of the agent in handling each of the unskilled telecommunication calls; determining by the controller stress of the agent in handling each of the unskilled telecommunication calls; calculating by the controller average success of the agent in handling all of the unskilled telecommunication calls; calculating by the controller average stress of the agent in handling all of the unskilled telecommunication calls; increasing the percentage of unskilled telecommunication calls by the controller upon average success being greater than a predefined level of success and the average stress being less than a predefined level of stress; and stopping after the percentage equals a predefined percentage. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWING 
         FIG. 1  illustrates an embodiment of a system; 
         FIG. 2  illustrates an embodiment of a customer resource management system; 
         FIG. 3  illustrates, in flowchart form, operations performed by stress processing; and 
         FIG. 4  illustrates, in flowchart form, operations performed by upskilled processing. 
     
    
    
     DETAILED DESCRIPTION 
       FIG. 1  illustrates an embodiment. Call center  104  is providing service via switching system  101  for telephone sets  102 - 103 . Agents utilizing agent positions  106 - 107  interact with the customers utilizing telephones sets  102 - 103  and customer terminal  105 . In a first embodiment, call center  104  is directed by the agent&#39;s supervisor to provide the agent who is being upskilled with a percentage of a new type of work which the agent is not skilled at providing in addition to types of work that the agent is skilled in providing. As the agent&#39;s skill in providing the new type of work improves, call center  104  increases the percentage of the new type of work until a predetermined goal is reached. The agent&#39;s supervisor predetermines the percentage increments of the new type of work that will be added. In a second embodiment, the agent&#39;s supervisor may change the percentage increments at a later time. Call center  104  determines that the agent is improving with respect to the new type of work by monitoring the agent&#39;s stress level and success level in providing the new type of work from the point of view of results achieved. In a third embodiment, if the workload of the call center exceeds a predefined threshold, the agent&#39;s percentage of the new type of work is temporarily decreased until the workload of the call center drops below the predefined threshold. 
     The stress level of the agent may be measured by voice analysis of the agent, textual analysis of the agent, visual analysis of the agent, or by measuring physiological parameters of the agent such as blood pressure, skin resistance, pulse rate, etc. such parameters could be measured by a stress detector attached to the agent position such as stress detector  110 . 
     The success level can be measured by the number of customer purchases achieved by the agent in interactions with customers. The success level could also be measured for non-purchase type work by measuring the emotions of customers during calls. For example, if a customer is happy or satisfied at the end of the call, the agent can be considered to have been successful. 
       FIG. 2  illustrates, in block diagram form, one embodiment of call center  104 . Processor  202  provides the overall control for the functions of call center  104  by executing programs and storing and retrieving data from memory  201 . Processor  202  connects to switching network,  101  via interface  203 . Processor  202  interfaces to user interface  218  via interface  207 . Processor  202  interfaces to switching network  101  via interface  203 . Processor  202  interfaces to agent positions  106 - 107  via interface  219 . Processor  202  interfaces to server  108  via interface  221 . Processor  202  performs the operations of call center  104  by executing the routines illustrated in memory  201 . 
     Operating system  212  provides the overall control and the necessary protocol operations. The communication and control of the various interfaces illustrated in  FIG. 2  is provided by interfaces routine  217 . Call center processing  208  provides overall control of call center  104 . 
     Stress processing  216  provides stress detection operations with data being stored in upskill database  211 . Stress processing  216  may use voice analysis to determine stress. The use of voice analysis to determine stress is well known in the art and is detailed in U.S. Pat. No. 7,283,962 or U.S. Patent Application No. 2003/0033145. If the emotions of customers are being detected, stress processing  216  would use voice analysis to perform this detection. If the physiological parameters are being utilized to detect stress in an agent, stress processing  216  would obtain this data from a stress detector such as stress detector  110  via an agent computer such as computer  111  as illustrated in  FIG. 1 . If the visual analysis is being utilized to detect stress in an agent or customer, stress processing  216  would obtain visual data from a camera such as camera  121  via an agent computer such as computer  111  or camera  123  via a customer computer  122  as illustrated in  FIG. 1 . The use of visual analysis to determine stress is well known in the art and is detailed in U.S. Patent Application publication 2005/0069852 A1. Visual analysis could include but is not limited to analysis of the eyes of the customers and agents. If textual analysis is being used, the text would be obtained via the agent or customer&#39;s keyboard input via the agent or customer keyboard. These U.S. Patent Application publications and U.S. Patent are hereby incorporated by reference. 
     Upskill processing  215  provides control over the upskill training of the agents using information from stress processing  216  and by determining success levels for agents. Upskill processing  215  stores and retrieves data in/from upskill database  211 . Stress processing  216  stores stress information for the agents in upskill database  211  for use by upskill processing  215 . 
     In another embodiment, server  108  of  FIG. 1  executes upskill processing and stress processing as well as storage for upskill data by communication with customer resource management system  104 . 
       FIG. 3  illustrates, in flowchart form, operations performed by stress processing  216  of  FIG. 2 . These operations are performed for each agent who is being retrained to handle a new type of call (also referred to as upskilling). The operations are performed each time an agent is given a call by customer resource management system  104 . After being started in block  301 , decision block  302  determines if the call is a type of call that the agent is skilled at handling. If the answer is yes, block  303  calculates the stress level for this call, and block  304  averages the calculated stress level into an average stress level for all skilled calls handled by the agent and stores the result in upskill database  211  before returning control to decision block  302 . 
     Returning to decision block  302 , if the answer is no, control is transferred to decision block  306 . The latter decision block determines if the call is a type of call for which the agent is unskilled at handling. If the answer is yes, control is transferred to block  307  which calculates the stress level of the agent during the call. Then, block  308  averages the calculated stress level into the average stress level for unskilled calls stored in upskill database  211  and stores this information in upskill database  211  before transferring control to decision block  309 . If the answer in decision block  306  is no, control is transferred back to decision block  302 . 
     After receiving control from block  308 , decision block  309  determines if the emotions of the customer are to be calculated during this call. These calculated emotions may be utilized to determine customer satisfaction. The calculated customer emotions are periodically stored over the duration of the call by block  311  in upskill database  211 . After execution, block  311  returns control back to decision block  302 . 
       FIG. 4  illustrates, in flowchart form, operations performed by upskill processing  215 . After being started in block  401 , decision block  402  determines if the call presently being handled by the agent is an unskilled call. If the answer is yes, block  403  calculates the agent&#39;s success level on the call. This success level may be determined by whether or not the agent made a sale or the level of satisfaction or other emotions of the customer during the call. After receiving control from block  403 , block  404  averages the calculated success level into an average success level stored in upskill database  211  for unskilled calls with the result being stored in upskill database  211  before transferring control to decision block  405 . If the answer in decision block  402  was no, control is transferred to decision block  405 . 
     Decision block  405  determines if the overall workload of the call center has exceeded a predefined value/threshold. If the answer is yes, the training of the agent to handle unskilled calls will be modified, and the percentage of unskilled calls handled by the agent will be reduced by execution of block  414 . Block  414  saves the current percentage of unskilled calls being handled by the agent for future restoration by block  416  and reduces the percentage of unskilled calls that the agent will handle by a predefined percentage before transferring control back to decision block  402 . Note, that this predefined percentage can reduce the number of unskilled calls handled by the agent to zero. If the answer in decision block  405  is no, control is transferred to block  416 . The latter block restores the save percentage of unskilled calls if this is the first time that block  416  has been executed after the overall workload has dropped below the predefined value before transferring control to decision block  406 . Decision block  406  determines if the period of time has elapsed for the evaluation of the agent since the agent&#39;s progress is only periodically evaluated. If the answer is no in decision block  406 , control is transferred back to decision block  402 . If the answer is yes in decision block  406 , control is transferred to decision block  407 . 
     Decision block  407  accesses the average stress level information for the agent from upskill database  211 . This information had been stored there by stress processor  216 . In one embodiment, decision block  407  compares the stress level for unskilled calls against the stress level for skilled calls and would only allow the stress level for unskilled calls to be a predefined percentage higher than the stress level for skilled calls. In another embodiment, decision block  407  would not allow the stress level for unskilled to be larger than predefined level. 
     If the answer is no in decision block  407 , control is transferred to block  413 . The latter block decreases the percentage of unskilled calls that the agent will handle before returning control to decision block  402 . If the answer is yes in decision block  407 , control is transferred to decision block  408 . 
     Decision block  408  accesses the agent&#39;s average success level from upskill database  211  and determines if this level is acceptable. If the answer is no, control is transferred to block  413  whose operations have already been described. If the answer in decision block  408  is yes, control is transferred to block  409 . 
     Block  409  increases the percentage of unskilled calls that will be handled by the agent before transferring control to decision block  411 . The latter decision block tests to see whether the agent is now receiving a percentage of unskilled calls that meets the goal set for the agent. If the answer is yes, the process is done and control is transferred to block  412 . If the answer in decision block  411  is no, control is transferred back to decision block  402 . 
     When the operations of a computer, processor or server are implemented in software, it should be noted that the software can be stored on any computer-readable medium for use by or in connection with any computer related system or method. In the context of this document, a computer-readable medium is an electronic, magnetic, optical, or other physical device or means that can contain or store a computer program for use by or in connection with a computer related system or method. The computer, processor or server can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this document, a “computer-readable medium” can be any means that can store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. For example, the computer-readable medium can be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM) (electronic), a read-only memory (ROM) (electronic), an erasable programmable read-only memory (EPROM, EEPROM, or Flash memory) (electronic), an optical fiber (optical), and a portable compact disc read-only memory (CDROM) (optical). 
     In an alternative embodiment, where the computer, processor or server is implemented in hardware, the telephone set, control computer or server can be implemented with any or a combination of the following technologies, which are each well known in the art: a discrete logic circuit(s) having logic gates for implementing logic functions upon data signals, an application specific integrated circuit (ASIC) having appropriate combinational logic gates, a programmable gate array(s) (PGA), a field programmable gate array (FPGA), etc. 
     Of course, various changes and modifications to the illustrated embodiments described above will be apparent to those skilled in the art. These changes and modifications can be made without departing from the spirit and scope of the invention and without diminishing its intending advantages. It is therefore intended that such changes and modifications be covered by the following claims except insofar as limited by the prior art.

Technology Classification (CPC): 6