Method and apparatus to capture, analyze, organize, and present support chat information
An information handling system receives messages of a chat conversation, and may convert the messages into request and response pairs. The information handling system may also determine customer reaction determinations for respective ones of the request and response pairs, integrate the request and response pairs and the customer reaction determinations into a customer reaction timeline, and generate a chatbook from the customer reaction timeline.
1. A method comprising:
receiving, at an information handling system (IHS), a plurality of messages of a chat conversation;
converting, at the IHS, the messages into request and response pairs;
determining, at the IHS, customer reaction determinations for respective ones of the request and response pairs;
integrating, at the IHS, the request and response pairs and the customer reaction determinations into a customer reaction timeline; and
generating, at the IHS, a chatbook from the customer reaction timeline, wherein the chatbook is created specifically for the chat conversation, wherein the chatbook includes a plurality of pages corresponding, respectively, to the request and response pairs.
2. The method of claim 1 , wherein the determining the customer reactions determinations is performed using natural language processing (NLP) at the IHS.
3. The method of claim 1 further comprising:
applying best-practices recommendations at points along the customer reaction timeline.
4. The method of claim 1 , further comprising:
identifying an unresolved query among the messages, wherein the unresolved query was not resolved during the chat conversation.
5. The method of claim 1 , wherein the chatbook comprises a customer reaction indicator, the customer reaction indicator selected from a group consisting of a customer dissatisfaction indicator, a customer neutrality indicator, and a customer satisfaction indicator.
6. The method of claim 1 , wherein the customer reaction timeline is generated in real time during the chat conversation.
7. An information handling system (IHS) comprising:
memory; and
a processor coupled to the memory, the processor configured to receive a plurality of messages of a chat conversation, to convert the messages into request and response pairs, to determine customer reaction determinations for respective ones of the request and response pairs, to integrate the request and response pairs and the customer reaction determinations into a customer reaction timeline, and to generate a chatbook from the customer reaction timeline, wherein the chatbook is created specifically for the chat conversation, wherein the chatbook includes a plurality of pages corresponding, respectively, to the request and response pairs.
8. The IHS of claim 7 , wherein the customer reactions determinations are performed using natural language processing at the IHS.
9. The IHS of claim 7 , wherein the processor is further configured to apply best-practices recommendations at points along the customer reaction timeline.
10. The IHS of claim 7 , wherein the processor is further configured to identify an unresolved query among the messages, wherein the unresolved query was not resolved during the chat conversation.
11. The IHS of claim 7 , wherein the chatbook comprises a customer reaction indicator, the customer reaction indicator selected from a group consisting of a customer dissatisfaction indicator, a customer neutrality indicator, and a customer satisfaction indicator.
12. The IHS of claim 7 , wherein the customer reaction timeline is generated in real time during the chat conversation.
13. A method comprising:
receiving, at an information handling system (IHS), a plurality of messages of a chat conversation;
converting, at the IHS, the messages into request and response pairs;
determining, at the IHS, customer reaction determinations for respective ones of the request and response pairs;
integrating, at the IHS, the request and response pairs and the customer reaction determinations into a customer reaction timeline; and
generating a chatbook from the customer reaction timeline, wherein the chatbook is created specifically for the chat conversation, the chatbook expressing the request and response pairs as text bubbles.
14. The method of claim 13 , wherein the determining the customer reactions determinations is performed using natural language processing at the IHS.
15. The method of claim 13 further comprising:
applying best-practices recommendations at points along the customer reaction timeline.
16. The method of claim 13 , wherein the chatbook comprises a plurality of pages, the pages corresponding, respectively, to the request and response pairs.
17. The method of claim 13 further comprising:
identifying an unresolved query among the messages, wherein the unresolved query was not resolved during the chat conversation.
18. The method of claim 13 , wherein the chatbook comprises a customer reaction indicator, the customer reaction indicator selected from a group consisting of a customer dissatisfaction indicator, a customer neutrality indicator, and a customer satisfaction indicator.
19. The method of claim 13 wherein the text bubbles comprise one or more customer chat communication bubbles.
20. The method of claim 19 wherein the text bubbles comprise one or more technical support advisor chat communication bubbles.