How do I connect Zendesk to Kondado for Redash visualization?

Visit the Zendesk source page in Kondado and authorize access to your account. Within minutes, you select your desired pipelines and designate Redash as your destination without setting up intermediate databases.

What dashboards can I build with Zendesk data in Redash?

Create custom dashboards tracking average response time, ticket resolution rates, and customer satisfaction scores. Use data from Organizations and Groups to segment analysis by specific teams or clients.

How frequently does Zendesk data update in Redash?

Kondado lets you configure the replication schedule based on your needs: every 5 minutes, 15 minutes, hourly, or daily. This ensures your dashboards always reflect the most recent information from your support operations.

Which customer service KPIs can I track in Redash?

Monitor SLAs through the Ticket Metrics Events pipeline, analyze satisfaction via Satisfaction Surveys, and track productivity using Ticket Metrics. These indicators help marketing managers optimize support processes.

Are there pre-built templates for Zendesk in Redash?

We do not offer pre-built report templates, but you can create custom dashboards combining the 12 available pipelines. If you prefer other visualization tools, your data can also be sent to Power BI , Looker Studio , or Google Sheets .

How do I share Zendesk dashboards with my team?

After creating your visualizations in Redash, use the native sharing features to invite team members. You can also replicate the same data to BigQuery or PostgreSQL if your company uses other BI solutions.

Do I need technical skills to set up this connection?

No technical knowledge is required. Kondado is designed for business users, not developers. Marketing teams and operations teams can configure the connection without writing code or manually handling APIs.

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How to Visualize Zendesk Data in Redash

Kondado makes it simple to replicate your Zendesk data directly into Redash for powerful visualization. Business users, marketing teams, and operations teams can transform customer service data into actionable insights without writing code or managing complex infrastructure. The platform connects your support tickets, satisfaction scores, and team metrics directly to Redash.

Kondado provides 12 pipelines from Zendesk with 235 fields available for analysis in Redash, including Tickets, Ticket Comments, and Satisfaction Surveys, with automated updates on a configurable schedule.

Simply select the pipelines you need, set your preferred refresh frequency, and start building interactive dashboards. You choose whether to update every 5 minutes, 15 minutes, hourly, or daily, ensuring your reports always reflect the current state of your customer support operations.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Combining Zendesk data in Redash enables comprehensive analysis of your support team’s performance through intuitive visualizations. The Closed and Deleted Tickets and Ticket History pipelines allow you to track ticket evolution over time, identifying resolution patterns and bottlenecks in your workflow.

Meanwhile, the Satisfaction Surveys and Ticket Metrics pipelines help sales leaders monitor SLA compliance and customer happiness levels. By consolidating this information into custom charts and dashboards, you can make data-driven decisions about team training and process improvements that enhance the overall customer experience.

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Zendesk data available in Redash

available pipelines

235

extractable fields

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.