How do I set up the Zendesk connection to use with Qlik Sense?

Log into Kondado, select Zendesk as your data source, and authenticate your account using your API credentials. Then choose from the 12 available pipelines, such as Tickets and Users, and set your preferred replication schedule to keep data flowing automatically to Qlik Sense.

What dashboards can I build with Zendesk data in Qlik Sense?

You can build custom dashboards analyzing average resolution time, customer satisfaction rates, and ticket volumes by support channel. By combining Organizations and Ticket Metrics data, create segmented views by client or support group to identify strategic priorities and resource allocation needs.

How often is Zendesk data updated in Qlik Sense?

Kondado lets you configure update frequencies based on your operational needs, with options ranging from every 5 minutes to daily schedules. This flexibility ensures marketing managers and operations teams access recent information without overwhelming your systems.

What support KPIs can I track in Qlik Sense using Zendesk data?

Monitor essential indicators including first response time, total resolution time, ticket backlog, and Satisfaction Surveys scores. These metrics help sales leaders evaluate support quality and its impact on customer retention and loyalty.

Are there pre-built report templates for Zendesk in Qlik Sense?

We do not offer pre-built templates, but you can create custom dashboards in Qlik Sense using the 235 fields available across 12 pipelines. If you prefer other visualization tools, data can also be sent to Power BI , Looker Studio , or Google Sheets .

How can I share Zendesk dashboards with my team in Qlik Sense?

After building your dashboards in Qlik Sense, use the tool's native sharing features to distribute visualizations with marketing teams and data analysts. You can also send Zendesk data to BigQuery or PostgreSQL if you need more complex analysis with other teams.

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How to Visualize Zendesk Data in Qlik Sense

To analyze customer support performance and make data-driven decisions, connecting your service software to a powerful visualization tool is essential. Kondado replicates data from Zendesk directly into Qlik Sense without requiring technical expertise or complex infrastructure setup. Our platform provides a Via Kondado connection that eliminates the need for intermediate databases, enabling business users, marketing teams, and operations teams to build interactive dashboards and dynamic reports within minutes.

Kondado connects Zendesk to Qlik Sense with automated updates on a configurable schedule ranging from 5 minutes to daily, delivering 12 pipelines and 235 fields for comprehensive customer service analysis.

The setup process requires no code: simply connect your Zendesk account as a data source, select desired pipelines such as Tickets and Ticket Metrics, and define your preferred update frequency. This allows your team to track satisfaction indicators, average resolution times, and support volumes with automatically refreshed data to continuously optimize customer experience and identify bottlenecks in your support process.

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 with Qlik Sense analytics capabilities enables your company to transform support information into actionable insights for improving customer retention. By replicating pipelines such as Satisfaction Surveys and Ticket Comments, you identify dissatisfaction patterns and training opportunities for support teams. Additionally, integrating Ticket History with Ticket Metrics allows you to analyze response time evolution and identify which channels generate the most demand, helping sales leaders prioritize investments in multichannel support strategies.

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Zendesk data available in Qlik Sense

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.

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.

How to create Zendesk dashboards in Qlik Sense

Visualize your data automatically — no spreadsheet exports or custom scripts.

Connect Zendesk as data source

Log into Kondado, select Zendesk as your data source, and authenticate the connection by entering your API credentials to begin replication.

Select Qlik Sense as destination

Choose Qlik Sense as your destination tool and configure the Via Kondado connection, which eliminates the need for intermediate databases when transferring your information.

Build dashboards and set refresh schedule

Select desired pipelines such as Tickets and Ticket Metrics, define your configurable update schedule, and start building dashboards in Qlik Sense with automated data refreshes.