Graeme Carmichael
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Graeme Carmichaelさんの最近のアクティビティ-
Graeme Carmichaelさんがコメントを作成しました:
Nicoleta In Explore, you can export queries as Excel or CSV. If you need to schedule reports at specified intervals, add the query to a dashboard. You can then schedule the dashboard to email an Ex...
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Graeme Carmichaelさんがコメントを作成しました:
Matt I believe it is easier and quicker for your report to compile, for you to use a result manipulation metric. In your query, go to Result Manipulation> Result Metric Calculation Then Chart Conf...
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Graeme Carmichaelさんがコメントを作成しました:
I really like Lance's target solution. Now that we have Explore, you can create reports listing random tickets.
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Graeme Carmichaelさんがコメントを作成しました:
Chris As you have discovered, this is tricky because Zendesk to not provide first reply hour as one of the standard attributes in Explore. So unlike, say, first assigned date, you have to do the wo...
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Graeme Carmichaelさんがコメントを作成しました:
Lisa Sorry, but this cannot be easily done retrospectively in Support. You could create a report in Explore using the Ticket Updates dataset. Metric D_COUNT(Tickets updated) Filter Changes Field...
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Graeme Carmichaelさんがコメントを作成しました:
Lisa In your automation that changes pending tickets to solved, add a further action to add a tag to the ticket such as 'pending_to_solved'. You can then either search for tags:pending_to_solved, c...
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Graeme Carmichaelさんがコメントを作成しました:
Andrei Go to Calculations>Date Range Calculated Metric to define your metric. By default all the aggregators will be available.
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Graeme Carmichaelさんがコメントを作成しました:
Andrei There is a pre-built metric that may help you. In the Support Tickets dataset, look for the Tickets solved-Last month metric. This metric is built by Zendesk, but you can build your own 'Dat...
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Graeme Carmichaelさんがコメントを作成しました:
Mohamed Here is a fun thing you can try in Explore. Create a new query based on the Support Tickets dataset. Create a new STANDARD CALCULATED METRIC called 'Random Number': Edit the aggregators to...
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Graeme Carmichaelさんがコメントを作成しました:
Daniel Are you interested in: where more than one agent has been assigned to a ticket or the original assignee does not match the current assignee regardless of the number of agents have been assi...