{"id":5174,"date":"2023-03-06T23:14:07","date_gmt":"2023-03-06T23:14:07","guid":{"rendered":"https:\/\/www.replicant.com\/?p=5174"},"modified":"2023-05-09T21:09:08","modified_gmt":"2023-05-09T21:09:08","slug":"conversation-design-the-key-to-effective-contact-center-automation","status":"publish","type":"post","link":"https:\/\/www.replicant.com\/blog\/conversation-design-the-key-to-effective-contact-center-automation\/","title":{"rendered":"Conversation Design: The Key to Effective Contact Center Automation\u00a0"},"content":{"rendered":"
There are many reasons why automation has become an <\/span>obvious solution for contact centers<\/span><\/a> aiming to overcome today\u2019s customer service challenges.\u00a0<\/span>But when it comes to actually choosing a Contact Center Automation partner, things become a bit more complicated.<\/span><\/p>\n Many providers will boast the ability to resolve tier 1 cases, automate service across every channel, integrate with your existing systems, and add deep insights through built-in analytics.\u00a0<\/span><\/p>\n These are all critically important features, of course, and part of why Replicant is a solution of choice for many contact centers.\u00a0<\/span>However, no element is as important to a successful Contact Center Automation deployment than conversation design.<\/span><\/p>\n At Replicant, we believe that great conversations are those that resolve customer issues quickly and naturally, no matter the channel or language.\u00a0<\/span><\/p>\n Without great conversation design, customers quickly grow frustrated by automation. As a result, agents end up fielding just as many tier 1 calls as they did before a solution was deployed. <\/span>On the other hand, great conversation design means customers get smooth resolutions to their requests on the first try, every time.\u00a0<\/span><\/p>\n Here are five reasons why conversation design is key to effective Contact Center Automation:<\/span><\/p>\n At the end of the day, no amount of call containments or resolutions matter unless Contact Center Automation can serve customers the way they want to be served.\u00a0<\/span><\/p>\n How effectively can it extract intents from free-form, natural language? Does it allow customers to quickly rattle off a list of questions and address them all without needing the customer to repeat themselves? Does it understand positive and negative intents, even when it\u2019s not a simple \u201cyes\u201d or \u201cno?\u201d<\/span><\/p>\n If an automated conversation doesn’t go well, customers are quick to ask for an agent. This not only defeats the purpose of automation in the first place, it sends agents customers who are already frustrated by a poor experience.\u00a0<\/span><\/p>\n Replicant\u2019s <\/span>Thinking Machine<\/span><\/a> excels at understanding human contexts for every conversation. Rather than repeating long menus or asking for keywords, it allows customers to state any number of requests and responds accurately in less than a second.\u00a0<\/span><\/p>\n With every turn in a conversation, Replicant\u2019s Thinking Machine nudges customers closer to resolution, even when conversations are non-linear. It\u2019s a major reasonwhy the Thinking Machine regularly returns CSAT scores on par or better than those of human agents.\u00a0<\/span><\/p>\n Effective Contact Center Automation brings customers a consistent brand experience across every channel. To achieve this, conversations must be designed and powered by a single engine that shares a vast intent library.\u00a0<\/span><\/p>\n Without an effective single-engine library, customers receive disjointed experiences for every channel they use to contact support, including instances where they need to switch channels during a single conversation.\u00a0<\/span><\/p>\n This is even more important today given that 49% of consumers, on average, use <\/span>three to five different communication channels<\/span><\/a> to contact customer service. In addition, a majority still feel that the phone is the <\/span>easiest to use channel<\/span><\/a>.\u00a0<\/span><\/p>\n Replicant believes that great automation starts with the voice channel. The Thinking Machine has successfully automated millions of calls that include loud background noises and a range of languages, accents, and dialects \u2013 and it gets better with each conversation. By using a voice-first approach, consistency across chat, SMS and other digital channels becomes more achievable than ever, not merely an afterthought.\u00a0<\/span><\/p>\nGreat Conversations Drive CSAT<\/h2>\n
Consistency Is Key<\/h2>\n
Great Design Speaks to Everyone<\/h2>\n