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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/06\/23\/evaluagent-raises-20m-to-build-out-software-to-evaluate-call-center-agents\/<\/a><\/br> After spending more than a decade in the customer experience industry, three friends, Jaime Scott, Michelle Dinsmore and Alex Richards, decided to launch their own company, EvaluAgent<\/a>, to develop quality assurance testing software for contact centers.<\/p>\n The three co-founders say they were motivated by a shared desire to find a solution to the problem of contact center manager overwork. Reviewing customer calls and texts for quality assurance calls takes time \u2014 so much time, in fact, that it\u2019s rarely done regularly. According<\/a> to one source, only between 1% and 2% of calls to a contact center actually get evaluated.<\/p>\n \u201cAt its heart, the contact center\u2019s role is to serve customers,\u201d Scott, who serves as the company\u2019s CEO, told TechCrunch in an email interview. \u201cThose customers are human beings and, as such, are always going to demand a level of service and experience technology alone won\u2019t be able to offer. Our belief is that the greater the employee experience for agents, the greater the customer experience they\u2019ll be able to offer.\u201d<\/span><\/p>\n Scott, Dinsmore and Richards incorporated EvaluAgent in 2012. The team grew quickly, but was largely focused on working with a small number of corporate clients. That changed in 2018 and 2019, when Scott says the leadership recognized a gap in the market for a more flexible software-as-a-service-based quality assurance testing solution.<\/p>\n Today, EvaluAgent\u2019s platform aims to help quality assurance staff analyze conversations \u2014 both text and voice \u2014 across channels to coach and train customer agents. Via mostly automated workflows, EvaluAgent tries to boost the efficiency of QA teams, showing quality assurance-related stats in a unified dashboard.<\/p>\n Managers can give employee feedback via EvaluAgent\u2019s dedicated tool while employees can find answers to common questions in EvaluAgent\u2019s built-in company knowledge base.<\/p>\n \u201cEvaluAgent not only delivers quality assurance, but also provides customers with tools to ensure that evaluators\u2019 findings convert to ongoing behavior change in the agent base,\u201d Scott said. \u201cAltogether, the platform represents a complete system of record for contact centers\u2019 quality teams.\u201d<\/p>\n EvaluAgent also offers an automated scoring system, driven by a combination of speech recognition technologies and OpenAI\u2019s ChatGPT. The system, SmartScore, transcribes conversations if necessary and uses ChatGPT \u2014 an AI chatbot that understands text \u2014 to summarize <\/span>them for insights, rating line items and providing coaching tips. <\/span><\/p>\n \u201cOut-of-the-box key moments, such as customer frustration, repeat contact, and complaint escalation, are automatically tagged,\u201d Scott explained. \u201cIt \u2026 empowers organizations to achieve more interaction coverage and streamline the quality assurance process while keeping quality teams in full control.\u201d<\/p>\n
\nEvaluAgent raises $20M to build out software that evaluates call center agents<\/br>
\n2023-06-23 21:52:35<\/br><\/p>\n