Geckoboard

Track Zendesk Support, Chat, Talk, and Agent status metrics in real time.

How to build a Zendesk dashboard

Learn about best practices for displaying your Zendesk data.

Top tips for Geckoboard-Zendesk power users

Steps on how to connect your Zendesk Support account to Geckoboard to visualize your Support and Messaging data.

Connect your Zendesk Support data to Geckoboard

Learn how to adjust presentation options and filter your Zendesk Support data to create easy-to-understand visualizations.

Customize Zendesk Support widgets

Learn how your metrics are defined or calculated.

How Geckoboard defines and calculates your Zendesk Support metrics

Zendesk Messaging metrics are available within the Zendesk Support data source.

Display Zendesk Messaging metrics in Geckoboard

Learn how to build First Contact Resolution or FCR visualizations by with Triggers.

Display First Contact Resolution metrics for Zendesk widgets

Learn how to create a number widget that aggregates Zendesk ticket-related metrics.

Aggregate ticket related Zendesk metrics

Learn how to create a trigger in Zendesk that applies a custom tag when tickets are received at a specified support address.

How to filter using the 'received at' condition in Geckoboard

Learn why you might be seeing different numbers in Zendesk Explore than on your Geckoboard widgets.

Data discrepancies between Zendesk Explore and Geckoboard

Learn why you might be hitting Zendesk's API rate limit and how to help prevent it.

Exceeding Zendesk's API request limit

When a connection to Zendesk is made and to be able to create key support metrics the following data is processed

Data processed by the Zendesk integrations

Learn how to track, monitor, and display time tracking metrics in Geckoboard.

Display data from the Zendesk Time Tracking app in Geckoboard

Learn how to proactively monitor and reduce excessive ticket replies to improve resolution times and customer satisfaction

Get alerted if tickets ever get caught in back-and-forths

Learn how to proactively improve key support KPIs.

Get alerts if a customer is waiting too long for a reply

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