In order to achieve the expect effect at the time of introduction it is important to ensure that all target users log in and use it for work find any problems at an early stage and lead to continuous improvement. Conduct QA tuning Templates that analyz the text during the introductory phase are available on an ongoing basis. We regularly check the QA coverage rate for the conversation text and if there is insufficient QA we will add it as ne. Also if there is knowlge that is no longer us it will delet or consolidat.
After judging the priority of feback from
Operators we will add knowlge if necessary. It is difficult to achieve coverage and adding low frequency knowlge adversely affects the display accuracy of high frequency knowlge. So depending on your business I would say that having QA that covers to of your queries stor in your tool should sufficient . Other points Choose a vendor who knows both the tools and the business The knowlge recom Armenia Phone Number List mendation tool will closely relat to the operation of the center. Since knowlge organization is essential for introduction it is desirable to have a vendor who understands the concept of KCS Knowlge Center Service and can comprehensively support center operation system introduction content analysis continuous improvement etc. About recommend tools There are multiple knowlge recommendation tools on the market. The approach in this article can us system independent.
On the other hand we recommend Vext
Recommend from VEXT and provide it as an official solution. VEXT is a leading manufacturer of tools relat to text analysis and we use VextMiner a text mining tool for consulting FAQ optimization VOC analysis center quality improvement etc. This technology is us for all impro Email Data vement and reform services. is using VextMiner excels at analyzing what is ing said with customers. Combining that technology with the knowlge of consultants we perform call reason analysis and identify inquiries for QA. VextRecommend incorporates the VextMiner template in real time and displays the most suitable QA while understanding the meaning of the conversation.