Connect Zendesk to Metabase: Dashboards in Minutes
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Visualize Zendesk Data in Metabase with Kondado
How to visualize Zendesk data in Metabase? Kondado provides a direct connection that lets you replicate your customer service data into Metabase without complex setup or intermediate databases. Simply connect Zendesk as your data source, choose Metabase as your destination, and start building visual reports within minutes. Your support team can track ticket resolution times, monitor agent performance, and analyze customer satisfaction trends using familiar chart types and intuitive dashboards. Business users without technical backgrounds can easily create charts showing ticket volume patterns, response time distributions, and agent workload balances to make faster decisions about resource allocation and customer experience improvements. You can configure update frequencies ranging from every 5 minutes to daily, ensuring your Metabase reports reflect current customer interactions and support metrics without manual exports or spreadsheet maintenance.
Kondado connects Zendesk to Metabase through a direct connection that replicates 12 data pipelines including Tickets, Users, and Satisfaction Surveys, updating on a configurable schedule from every 5 minutes to daily.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With your Zendesk data flowing into Metabase, you can combine the Tickets pipeline with Ticket Metrics to visualize resolution efficiency and identify bottlenecks in your support workflow. Analyze the Satisfaction Surveys pipeline alongside User data to correlate agent performance with customer happiness scores, revealing which team members drive the best experiences. Operations teams can also track Organizations and Groups data to understand how different customer segments and internal teams interact, enabling smarter resource distribution and targeted training programs based on actual performance patterns. By visualizing Ticket Comments alongside Ticket History, managers can review conversation quality and channel effectiveness to optimize communication strategies and improve first-contact resolution rates across email, chat, and phone interactions.
Try out all the features for free for 14 days
Zendesk data available in Metabase
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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