{"id":1313,"date":"2019-10-03T20:31:01","date_gmt":"2019-10-03T20:31:01","guid":{"rendered":"https:\/\/www.replicant.ai\/what-makes-a-great-conversation\/"},"modified":"2022-11-01T01:32:30","modified_gmt":"2022-11-01T01:32:30","slug":"what-makes-a-great-conversation","status":"publish","type":"post","link":"https:\/\/www.replicant.com\/blog\/what-makes-a-great-conversation\/","title":{"rendered":"What Makes a Great Conversation?"},"content":{"rendered":"\r\n
I have been working in the Customer Service industry for the past five years and during that time, I have talked to many Customer Service leaders about the variety of metrics they measure: CSAT, AHT, abandonment rate and more. With all those numbers flying around, it can be hard to remember what customer service is really all about: having useful and effective conversations with customers. <\/strong>A good and effective conversation leads to a higher CSAT, quicker response time, loyalty to your brand and less effort from the customer. It is at the core of every customer service organization, yet customer service leaders do not spend much time evaluating and improving their conversations.<\/p>\r\n\r\n\r\n\r\n At Replicant.ai <\/a>we use AI to automate tier-1 customer service calls, and we create AI-powered virtual assistants for our customers. Because of that, we spend a lot of time studying the science of a great AI conversation, in addition to focusing on the dialogue and design principles of a profitable discussion. I wanted to share one of the frameworks we use to design effective and rewarding conversations so you can make sure that your customers are satisfied.\u00a0<\/p>\r\n\r\n\r\n\r\n One of the most useful tools we\u2019ve found to facilitate a good conversation is Grice\u2019s maxims<\/a>. Paul Grice, a British philosopher, came up with the following maxims for a successful conversation:<\/p>\r\n\r\n\r\n\r\n Now, reflect on a great customer service call you\u2019ve participated in. You can easily see how Grice\u2019s maxims are relevant:<\/p>\r\n\r\n\r\n\r\n When Replicant.ai constructs call flows for our “Thinking Machine” we take Grice\u2019s maxims into account, making sure we understand the audience, the customer’s case, any problems that could have initiated the call and the best way to solve the problem while also making sure that customers get a consistent, honest and clear response every single time. The same best practices we use for crafting great AI conversations can be used to craft human to human conversations. After all, Paul Grice <\/a>was born in 1913 and probably didn\u2019t envision that his principles would be used a century later for AI virtual agent conversations. If you incorporate the Grice\u2019s maxims in every conversation, you will discover that the metrics you are so worried about with your call center, take care of themself.<\/p>\r\n","protected":false},"excerpt":{"rendered":" I have been working in the Customer Service industry for the past five years and…<\/p>\n","protected":false},"author":12,"featured_media":1314,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"acf":[],"yoast_head":"\nSo what makes a great conversation?<\/h3>\r\n\r\n\r\n\r\n
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