Filter Out Light Agents in Zendesk Reports
How can I filter out Light Agents in Zendesk reports?
To filter out Light Agents in Zendesk reports, you can use the 'Requester name' as a filter. This allows you to exclude Light Agents from your report, focusing only on the agents you care about.
By applying this filter, you can refine your report to display only the relevant agent data, making it easier to manage and analyze your team's activity.
More related questions
How can I create a report to identify inactive agents in Zendesk?
You can create a report in Zendesk to identify inactive agents by using the 'Time since user login' metric in the Tickets dataset. This allows you to track when an agent last signed in. To ensure your report only includes agents, add a filter for…
What are the steps to group agent sign-in dates in Zendesk reports?
To group agent sign-in dates in Zendesk reports, you need to create Date range calculated metrics. This allows you to categorize sign-in dates into specific time frames, such as 0-30 days, 31-60 days, and 61-90 days. Start by using the 'Time since…
Can I generate a list of agents who have never logged into Zendesk?
Unfortunately, Zendesk does not currently provide a straightforward way to generate a list of agents who have never logged in. The 'Time since user login' metric does not show results for agents with no activity, as a value of 0 would imply a…
What filters should I use for accurate agent login reports in Zendesk?
For accurate agent login reports in Zendesk, use the filters 'requester role = admin, agent' and 'requester status = active'. These filters help you focus on active staff only, providing the number of days since they last logged in. Additionally,…
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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?”
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“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
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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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