Use casesReporting

Report last week's support numbers before the week starts

Mitra reads last week's Zendesk tickets every Monday morning and reports the volume, the first-response time and the top five reasons people wrote in. Each number arrives with its direction against the week before. The row goes to Google Sheets and the summary to Slack.

Runs
Every Monday at 9am
Used by
Customer Support · Ops / Chief of Staff
The prompt
Every Monday at 9am, log last week's Zendesk volume and response time to my Support Metrics sheet. Post the top five reasons to #support, against last week.
ZendeskGoogle SheetsSlack
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What the agent actually does.

  1. Count last week's tickets

    The agent reads every ticket opened between Monday and Sunday, including the ones closed the same day.

  2. Work out response time

    For each ticket the agent measures the gap to your team's first reply, then averages the week.

  3. Find the top five reasons

    The agent reads what people actually wrote rather than the tags applied, and ranks the five commonest.

  4. Append the row

    One row per week goes into your existing sheet, so your formulas and charts keep working.

  5. Post with direction

    Every number sits beside last week's, so the channel reads volume up eleven percent rather than a bare total.

Make it yours.

For support leads who assemble the same Monday numbers by hand, and the ops person who needs them without asking twice. Change any of this by saying so — there is nothing to rewire.

  • Report on Friday afternoon, so the week closes with its own numbers.
  • Break the volume down by product area or by assignee.
  • Drop the Slack post and let the sheet be the record.

Questions, answered.

How do I automate a weekly support volume report?
Describe the report in one sentence and Mitra builds the agent that produces it every Monday. The agent counts last week's Zendesk tickets, measures first-response time, ranks the reasons people wrote in, then writes a row to Google Sheets and a summary to Slack.
What if my team doesn't tag tickets consistently?
Mitra reads the text of each ticket rather than its tags, so an untagged queue still produces the top five reasons people wrote in. The agent groups the week by what customers actually wanted and reports the counts. Tell Mitra which categories your team uses and the next run adopts them.

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