System and method for improving tuning using user provided satisfaction scores

• US 9,406,075 B1
• Filed: 07/10/2013
• Issued: 08/02/2016
• Est. Priority Date: 12/19/2007
• Status: Active Grant

• Current Assignee: Concentrix CVG Customer Management Delaware LLC (Synnex Corporation)
• Original Assignee: Convergys Customer Management Delaware LLC (Concentrix CVG Customer Management Group, Inc.)
• Inventors: Lythgoe, James H., Bansal, Dhananjay, Gardner, Nancy, Georgesen, John C., Spera, Scott D.
• Primary Examiner(s): King, Simon
• Application Number:
  US13/938,806
• Time in Patent Office: 1,119 Days
• Field of Search: 379/88.18, 379/210.01, 705/1.1
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

A system and method provide a way of improving customer satisfaction with a customer service application by identifying tuning opportunities based on customer satisfaction scores. The system and method compare portions of the customer service application to a customer satisfaction score obtained from a customer satisfaction survey. The comparisons show, statistically, which portions of the customer service application correlate to a low customer satisfaction score. A report is produced which identifies these areas that correlate to low customer satisfaction, and these areas may be tuned to improve customer satisfaction with the customer service application.

Claims

1. An interactive voice response system comprising:

a. a processor;

b. a non-transitory computer readable medium comprising computer executable instructions to perform a method for improving customer satisfaction with a customer service application having a customer satisfaction survey, the method comprising;

i. integrating a survey log with an event log to produce a simplified compiled log, wherein the survey log includes a customer satisfaction score for the customer service application based on one or more responses to the customer satisfaction survey, wherein the event log comprises customer service information for the customer service application;

ii. analyzing a portion of the customer service information from the simplified compiled log to determine whether the portion of the customer service information is associated with a low customer satisfaction score;

iii. creating a report, wherein the report includes a table having a list of portions of customer service information associated with low customer satisfaction scores, wherein the list is prioritized by the customer satisfaction score; and

iv. creating a graph, wherein the graph includes a series of leaf nodes, wherein each leaf node represents an area of the customer service application associated with the customer satisfaction score, wherein the customer satisfaction score is based on an average of survey responses from a plurality of customers.

2. The computer readable medium of claim 1, wherein the customer satisfaction survey comprises one question associated with the customer satisfaction application.

3. The computer readable medium of claim 1, wherein the customer service information further comprises a dialog module result.

4. The computer readable medium of claim 1, wherein:

a. the method comprises producing the event log by processing an unprocessed event log from the customer service application; and

b. the act of analyzing the portion of the customer service information comprises creating a correlation comparing a first state where the portion of the customer service information was present in the unprocessed event log to a second state where the portion of the customer service information was not present in the unprocessed event log.

5. The computer readable medium of claim 4, wherein the method further comprises weighting the result of the correlation using occurrences of the portion of the customer service information.

6. The computer readable medium of claim 5, wherein the portion of the customer service information comprises a combined prompt type and prompt result.

7. The computer readable medium of claim 6, wherein the portion of the customer service information comprises a combined prompt type, prompt response, and prompt result.

8. The computer readable medium of claim 7, wherein the prompt result comprises a reject value, wherein the reject value indicates that the prompt response was not recognized by the customer service application.

9. The computer readable medium of claim 5, wherein the portion of the customer service information comprises a combined prompt type and prompt response.

10. The computer readable medium of claim 9, wherein the prompt response comprises a timeout.

11. The computer readable medium of claim 5, wherein the portion of the customer service information comprises a website path.

12. The computer readable medium of claim 1, wherein the act of processing the event log comprises:

a. identifying contact timestamp information;

b. identifying a customer service application name;

c. creating a unique contact identifier for each contact;

d. assigning the unique contact identifier to each contact; and

e. grouping the contact information from the event log by the unique contact identifier.

13. The computer readable medium of claim 12, wherein the act of integrating the survey log with the event log comprises:

a. creating a common unique contact identifier for the survey log and the event log; and

b. matching the data from the survey log to the data from the event log, wherein the act of matching uses the common unique contact identifier.

14. A non-transitory computer readable medium comprising computer executable instructions to perform a method for improving customer satisfaction with a customer service application having a customer satisfaction survey, the method comprising:

a. accessing events, and responses from a customer to the customer satisfaction survey, in one or more logs;

b. correlating one or more prompts of the customer service application and the associated information with the matching responses to the customer satisfaction survey;

c. weighting the responses from the customer satisfaction survey by a customer'"'"'s value

d. measuring occurrences of the one or more prompts of the customer service application and the associated information; and

e. artificially increasing the occurrences by a factor commensurate with the customer'"'"'s value prior to the act of correlating the one or more prompts and the associated information to the responses from the customer satisfaction survey;

wherein the method improves customer satisfaction by tuning an interactive voice system.

15. A non-transitory computer readable medium comprising computer executable instructions to perform a method for improving customer satisfaction with a customer service application having a customer satisfaction survey, the method comprising:

a. integrating a survey log with the event log to produce a simplified compiled log, wherein the survey log includes a customer satisfaction score for the customer service application based on one or more responses to the customer satisfaction survey, wherein the event log comprises customer service information for the customer service application;

b. identifying a portion of the customer service information from the simplified compiled log for analysis;

c. analyzing a portion of the customer service information from the simplified compiled log to determine whether the portion of the customer service information is associated with a low customer satisfaction score, wherein the act of analyzing incorporates occurrences for the portion of the customer service information and the customer satisfaction score; and

d. creating a graph, wherein the graph includes a series of leaf nodes, wherein each leaf node represents an area of the customer service application associated with the customer satisfaction score;

wherein the method improves customer satisfaction by tuning an interactive voice system.

16. The computer readable medium of claim 15 wherein the customer satisfaction score is based on an average of survey responses from a plurality of customers.