Connect Zendesk to Airtable: Dashboards in Minutes
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Visualize Zendesk Data in Airtable with Kondado
How to visualize Zendesk data in Airtable? Kondado offers a direct connection that lets you replicate your support information into customizable databases without any coding. Business teams can access ticket metrics, customer satisfaction scores, and agent performance data directly in Airtable, creating visual workflows that drive faster decisions. Configure your data refresh to run every few minutes or daily, ensuring your reports reflect current operations while eliminating manual exports. Marketing and operations teams at SMBs can finally track customer service trends alongside their campaign data, turning support insights into actionable business strategies.
Kondado connects Zendesk to Airtable through a direct integration that requires no intermediate databases or complex technical setup, allowing business users to build automated support dashboards on a configurable schedule and keep their teams aligned with near-real-time customer insights.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Bring Support Data to Life in Airtable
With Kondado’s Zendesk pipelines, you can bring detailed support data into your Airtable bases to uncover operational insights. The Tickets and Ticket Metrics pipelines let you monitor resolution times and backlog trends, while Satisfaction Surveys help you correlate customer happiness scores with specific agent groups or ticket categories. By combining Organizations data with ticket volumes in Airtable, managers can identify which clients generate the most support activity and allocate resources strategically. This direct connection transforms raw support logs into visual databases that marketing and operations teams use to optimize customer experience workflows without waiting for technical assistance.
Try out all the features for free for 14 days
Zendesk data available in Airtable
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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