Dataset Selection for Call Length Reporting in Zendesk
What dataset should I select for reporting on call length in Zendesk?
When reporting on call length in Zendesk, you should select the 'Talk - Calls' dataset in Explore. This dataset contains the necessary data related to calls, including metrics for call duration and whether the call was recorded. By using this dataset, you can accurately report on the length of recorded calls by year and month.
Selecting the correct dataset is crucial for ensuring your report includes all relevant call data.
More related questions
How can I report on the length of recorded calls by year and month in Zendesk?
To report on the length of recorded calls by year and month in Zendesk, you can use the Explore feature. First, ensure you have Zendesk Explore Professional or Enterprise, and the necessary permissions. Then, create a new report in Explore, select…
What permissions are needed to create a call length report in Zendesk Explore?
To create a call length report in Zendesk Explore, you need Editor or Admin permissions. These permissions allow you to access the necessary features within Explore to build and customize reports. Additionally, you must have a subscription to…
How do I filter for recorded calls in a Zendesk Explore report?
To filter for recorded calls in a Zendesk Explore report, you need to use the Filters panel. Add the 'Call recorded' attribute to your filters, then select 'true' to ensure only recorded calls are included in your report. This step is essential for…
What visualization type should I use for a call length report in Zendesk?
For a call length report in Zendesk, it's recommended to use the Table visualization type. This format allows you to clearly display the number of recorded calls and the total length of calls per month and year. Tables are effective for presenting…
Interested indeflectingover 70% of your Zendesk support tickets?
Zendesk Support Tickets
Zendesk Messaging (live chat)
Join1,000+ companies reducing their support costs and freeing up support agents for more important work
“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
Zeffy
“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.”
Freecash
“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
Zeffy
“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.”
Freecash
Reduce support costs.Spend more time on customer success.
