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Zendesk Answer Bot Dashboard Guide - Frequently asked questions

Explore common questions about the Zendesk Answer Bot dashboard, including autoreplies and bot builder features. Find answers to optimize your support.

Frequently asked questions

How do I access the Zendesk Answer Bot dashboard?

To access the Zendesk Answer Bot dashboard, you need to navigate through Explore. Simply click the Dashboard icon in the left sidebar and select the Zendesk Answer Bot dashboard from the list. This dashboard provides valuable insights into…

What information is available on the Flow Builder overview tab?

The Flow Builder overview tab provides insights into bot builder activity and performance across messaging channels. It uses the Zendesk Answer Bot > Flow Builder dataset to generate reports. These reports help you analyze how your bot is…

What does the Flow Builder performance tab show?

The Flow Builder performance tab offers detailed information about bot and answer performance. This tab is essential for admins looking to measure and enhance their bot automation performance. Using the Zendesk Answer Bot > Flow Builder dataset,…

What can I learn from the Article recommendations tab?

The Article recommendations tab provides data on autoreply activity, ticket resolutions, and article-based activities. It uses the Zendesk Answer Bot > Article Recommendations dataset. This tab is useful for analyzing how effectively your articles…

How can I see what end-users asked when the Answer Bot failed?

To see what end-users asked when the Answer Bot couldn't suggest a relevant article, you can build a custom report. Use the attribute 'Answer enquiry' to view the end user's question and the metric 'Unsuccessful attempts' to slice the data. This…

What is the difference between Clicks and Clicked Articles?

In the Click-through rate box of the Article Recommendations tab, 'Clicks' refers to successful Answer Bot attempts where at least one suggestion was clicked. 'Clicked Articles' is a calculated metric that identifies when a suggested article was…

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