Viewing End-User Questions in Unsuccessful Attempts
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 approach allows you to identify and analyze the questions that the Answer Bot struggled with, providing insights for improving your bot's response capabilities.
More related 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, it…
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…
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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“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
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“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
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