A marketing team wishes to evaluate the performance of their chatbots and calls. Which tools in Google's Customer Engagement Suite assist with this?

Evaluating the performance of chatbots and calls requires specific tools that can analyze and derive insights from conversational interactions. Conversational Insights is designed to provide detailed analytics and reporting on conversations handled by chatbots and other conversational interfaces. This tool aggregates data, highlights key performance indicators, and offers actionable insights that marketing teams can use to assess the effectiveness of their customer engagement strategies.

Conversational Insights allows teams to understand user behaviors, detect patterns, and identify areas for improvement, which is crucial for enhancing the performance of chatbots. By using this tool, the marketing team can make data-driven decisions to optimize their conversational agents, improving user experience and ultimately achieving better engagement and satisfaction rates.

In contrast, while Conversational Agents and Dialogflow are integral for designing and deploying chatbots, they do not provide the same level of analytical performance evaluation. The Cloud Natural Language API focuses more on understanding and processing natural language but does not specifically cater to the evaluation of chatbot performance in an integrated manner that Conversational Insights does. Therefore, for the specific need of evaluating chatbot performance, Conversational Insights is indeed the most suitable option.