Understanding Drill-In Feature in Zendesk Explore
What is the drill-in feature in Zendesk Explore?
The drill-in feature in Zendesk Explore helps you interact with reports to uncover detailed data.
By using drill-in, you can break down the data in your report to see what specific information is being reflected. This is particularly useful for verifying the accuracy of your reports by examining the underlying data. For more information, see the article on interacting with reports.
More related questions
How can I validate my Zendesk Explore report data?
To ensure your Zendesk Explore report is accurate, you can use several strategies like drilling into data, cross-checking with other products, or using specific examples. Drilling into data allows you to see more detailed information, while…
How do I cross-check my Zendesk Explore report with source data?
Cross-checking your Zendesk Explore report with source data involves using advanced search in Support to verify ticket data. By pulling up a list of tickets that should appear in your report, you can confirm if the report accurately reflects the…
How can I use specific examples to validate my Zendesk Explore report?
Using specific examples to validate your Zendesk Explore report involves checking individual cases against the report data. Open a specific call, chat, article, or ticket that you expect to be in the report but is missing. Compare its…
What should I do if my Zendesk Explore report shows incorrect data?
If your Zendesk Explore report shows incorrect data, consider using strategies like drilling into data, cross-checking with source data, and examining specific examples. These methods help identify discrepancies and ensure your report accurately…
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“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
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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?”
Zinc
“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
Customer.io($50M+ ARR)
“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
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