Connect Zendesk to Cortex: Dashboards in Minutes
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Visualize Zendesk Data in Cortex
Visualizing your customer support metrics in Cortex starts with connecting your Zendesk account to Kondado. Our platform replicates ticket data, satisfaction scores, and agent performance metrics directly into your visualization tool without requiring any technical setup or intermediate databases. You choose how often the data refreshes, from every five minutes to daily updates, ensuring your reports always reflect current customer service operations.
Kondado provides a direct Via Kondado connection that sends 12 Zendesk pipelines containing 235 fields straight to Cortex, enabling business teams to monitor ticket resolution times, track customer satisfaction trends, and analyze agent workload without writing code or managing complex infrastructure.
With automated data synchronization on your preferred schedule, marketing and operations teams can build comprehensive customer service reports in Cortex that update automatically. This eliminates manual data exports and gives you immediate access to insights that drive better staffing decisions and improve customer experience strategies.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combine your Ticket Metrics and Satisfaction Surveys pipelines in Cortex to create comprehensive dashboards that reveal the relationship between resolution speed and customer happiness scores. By analyzing Ticket Comments alongside Ticket History, you can identify recurring patterns in ticket escalations and understand which support channels generate the most complex customer inquiries. These combined insights help operations managers optimize agent training programs, adjust staffing levels across phone and chat channels, and improve overall service quality based on actual performance data.
Try out all the features for free for 14 days
Zendesk data available in Cortex
Available integrations
| Integration | Description |
|---|---|
| Closed and Deleted Tickets | Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description. |
| Ticket Comments | Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body. |
| Ticket Metrics Events | Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets. |
| Groups | Lists groups with fields like id, name, and updated_at, along with information about the group's status and description. |
| Ticket History | Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel. |
| Jira Links | Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks. |
| Tags | Contains information about tags associated with tickets, facilitating categorization and search of tickets by tag. |
| Ticket Metrics | Presents ticket performance metrics, including response time and resolution time, essential for efficiency analysis. |
| Organizations | Lists organizations with fields like id, name, and created_at, allowing management and categorization of tickets by organization. |
| Satisfaction Surveys (Scores) | Collects satisfaction survey results, including id, ticket_id, and score, essential for measuring customer satisfaction. |
| Tickets | Contains information about tickets, including id, status, and timestamps such as created_at and deleted_at. |
| Users | Stores data about users, including id, name, and contact information such as email and status. |
Try out all the features for free for 14 days
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