Understanding Standard Calculated Attributes in Zendesk
What is a standard calculated attribute in Zendesk Explore?
A standard calculated attribute in Zendesk Explore is a custom attribute you create to categorize data based on specific conditions. For instance, you might want to classify tickets by their first reply time into 'Fast response' or 'Slow response'.
To create one, use the formula editor in the Calculations menu. For example, you can use the IF THEN ELSE function to evaluate conditions like first reply time and label responses accordingly. This allows you to tailor your reports to better meet your specific data analysis needs.
More related questions
How do I start creating a report in Zendesk Explore?
To start creating a report in Zendesk Explore, you need to select the appropriate dataset and metrics. First, click the Reports icon in Explore, then click the New report button. On the Select a dataset page, choose the Support - Tickets dataset…
How can I edit a standard calculated attribute's formula in Zendesk Explore?
Editing a standard calculated attribute's formula in Zendesk Explore allows you to refine your data categorization. To do this, locate the attribute in the Rows panel and click the pencil icon to open the Standard calculated attribute panel. You…
How do I add a calculated attribute to a report in Zendesk Explore?
To add a calculated attribute to a report in Zendesk Explore, first ensure you've created the attribute using the formula editor. Then, in your report, go to the Rows panel and click Add. From the list of attributes, select Calculated attributes…
Can I use custom metrics or attributes in Zendesk Views?
Custom metrics and attributes created in Zendesk Explore cannot be used in Zendesk Views. Explore is designed for in-depth reporting and analysis, while Views are for organizing and managing ticket lists. If you need to use specific conditions in…
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.
