Customer-centric interface and method of designing an interface
First Claim
1. A method for developing a prediction model for a user interface design based upon expected user task volume and task frequency, the method comprising:
- determining a task frequency of a plurality of call centers;
adjusting the task frequency based on call volumes corresponding to the plurality of call centers;
determining an estimated percentage of correctly routed calls; and
multiplying, by a tangible physical computer processor, the estimated percentage by the adjusted task frequency to obtain a predicted routing percentage score.
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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.
187 Citations
14 Claims
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1. A method for developing a prediction model for a user interface design based upon expected user task volume and task frequency, the method comprising:
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determining a task frequency of a plurality of call centers; adjusting the task frequency based on call volumes corresponding to the plurality of call centers; determining an estimated percentage of correctly routed calls; and multiplying, by a tangible physical computer processor, the estimated percentage by the adjusted task frequency to obtain a predicted routing percentage score. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer readable medium that stores a computer program for developing a prediction model for a user interface design based upon expected user task volume and task frequency, the computer readable medium comprising:
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a task frequency determining code segment for determining a task frequency of a plurality of call centers; an adjusting code segment for adjusting the task frequency based on call volumes corresponding to the plurality of call centers; a correctly routed calls determining code segment for determining an estimated percentage of correctly routed calls; and a scoring code segment for multiplying the estimated percentage by the adjusted task frequency to obtain a predicted routing percentage score. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification