Taylor Wilson
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Última actividad de Taylor Wilson-
Taylor Wilson hizo un comentario,
+1 - !00% agree with this suggestion and we could really use this functionality!
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Taylor Wilson hizo un comentario,
+1 we need this. We would require entries for these fields and add a "Reason" drop-down field so we know how to manage the urgency of their call back request, and set certain SLAs depending on thei...
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Taylor Wilson hizo un comentario,
+1 on the holiday scheduling by hours/half-day
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Taylor Wilson creó una publicación,
More Robust Conditional Fields
Would be awesome if Conditional Fields could look at the values of field entries rather than the field as a whole. Example: 2 dropdown fields exist - Field A and Field B. Field A options are 1, 2...
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Taylor Wilson creó una publicación,
Automatically adding domain to organizations
This is a feature request for automatically adding email domains to newly created organizations. This way, if any other email addresses with the same domain submit a ticket, it will funnel into the...
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Taylor Wilson hizo un comentario,
Marie-Cathrine Sørensen thanks, that does the trick! Can you let me know how to fix the formatting on the x-axis? As you can see, the hours of the day where we have tickets is a single-digit number...
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Taylor Wilson creó una publicación,
Show All Values on X Axis
I have a report that shows me the amount of "Offline Message" tickets being created by hour of day. The report only shows the hour of day of created tickets on the x axis. To make it cleaner and mo...
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Taylor Wilson creó una publicación,
Zendes Chat Metric "Chat ended - Timestamp" for Explore
Very similar to metric "Chat started - Timestamp", need the same for "Chat ended - Timestamp"
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Taylor Wilson hizo un comentario,
Brett Bowser thanks for the reply. I feel like my situation could potentially be solved by a solution that should already be made available and surprised it's not. Similar to metric "Chat started -...
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Taylor Wilson hizo un comentario,
Devan - Community Manager just following up on my most recent comment above to see if you have any insight on how to differentiate between the 2 scenarios in the data?