Daily Ticket Activity in 30 Days - Frequently asked questions
Discover answers to common questions about tracking daily ticket activity over the last 30 days in Zendesk Explore. Learn how to analyze and optimize your support operations.
Frequently asked questions
How can I create a report for daily ticket activity in the last 30 days using Zendesk Explore?
To create a report for daily ticket activity in the last 30 days, you'll need to use Zendesk Explore. Start by clicking the reports icon in Zendesk Explore and selecting 'New report'. Choose the 'Support - Updates history' dataset and begin…
What skill level is required to create a daily ticket activity report in Zendesk Explore?
Creating a daily ticket activity report in Zendesk Explore requires a moderate skill level. This means you should be comfortable navigating Zendesk Explore and have some experience with creating reports. You'll need about 25 minutes to complete…
How do I set up custom metrics for solved and deleted tickets in Zendesk Explore?
To set up custom metrics for solved and deleted tickets in Zendesk Explore, you'll need to create Standard calculated metrics. This helps in visualizing ticket activity by showing solved and deleted tickets as negative results. Go to the…
Can I filter my Zendesk Explore report to exclude non-business days?
Currently, Zendesk Explore does not have a built-in feature to filter reports by business days only. The days are based on calendar days, including weekends and holidays. To exclude non-business days, you would need to manually adjust your…
How can I export a list of updated tickets from Zendesk Explore?
To export a list of updated tickets from Zendesk Explore, you can create a report that lists tickets updated within a specific time period. Use 'D_COUNT(Tickets updated)' as your metric and add 'Update - Date' and 'Ticket ID' to the Rows. This…
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“Our company is growing very rapidly, and we were receiving a lot of support requests. And our team was spending a huge amount of time on them. Now, our AI agent is resolving 84% of customer support conversations.”
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Zeffy
Zeffy
Read Zeffy's case study
“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
“Since implementing My AskAI, the AI agent has deflected at least 68% of all customer queries. This has allowed us to get our average human response time down to under 60 seconds. A goal we've had for the last 6 months and finally achieved now with My AskAI.”
Conrad Jones CX and Service Leader
Zinc
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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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Customer.io($50M+ ARR)
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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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Freecash
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