What type of data can be analyzed through Service Cloud Voice dashboards?

The correct choice highlights the types of data that Service Cloud Voice is designed to analyze effectively. It encompasses customer call data, which includes information such as call duration, call outcomes, and interaction history. Understanding customer call data is crucial for evaluating customer satisfaction and identifying areas for improvement.

Agent performance is another critical component. Service Cloud Voice can track metrics like call handling times, resolution rates, and adherence to protocols, enabling organizations to assess agent efficiency and effectiveness in real time. Monitoring agent performance helps in coaching and training initiatives, ultimately contributing to better service quality.

Lastly, service levels refer to predefined metrics or targets that the service team aims to meet, such as average response time and first-call resolution rates. By tracking these service levels, organizations can ensure they are meeting customer expectations and maintaining high-quality service standards.

In contrast, the other options focus on data types that are either not directly related to call handling or are outside the core functionalities of Service Cloud Voice. Agent feedback and suggestions, while valuable, are qualitative and not typically represented in the quantitative metrics tracked by dashboards. Marketing campaign results and technical system alerts may be important for other aspects of a business but do not fall under the purview of the specific performance insights provided by Service Cloud Voice dashboards.