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See if support volume moved after a release
For operations teams who want Zendesk ticket volume compared around an Azure DevOps deployment, by asking their AI assistant.
On this page
Connector
Connect Zendesk, pick your AI tool and paste the prompt.
The problem
Nobody checks whether a release raised support volume
After a deployment someone has to watch Zendesk to see if ticket volume jumped. The release time is in Azure DevOps and the tickets are in Zendesk, so the comparison is done by eye and often skipped.
Without PopdockAI
- Find the deployment time in Azure DevOps
- Filter Zendesk tickets around that time
- Count before and after by hand
- Skip it when the release day gets busy
With PopdockAI
- The latest deployment time is read from Azure DevOps
- Tickets are counted for 24 hours either side
- No ratio is given when a window is empty
- It states that timing is not proof of cause
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Check whether Zendesk ticket volume rose after the latest deployment of release `{release-name}` in Azure DevOps project `{project}`.
**Step 1: Find the deployment (azure-devops server)**
Call `azure-devops-get-deployment` with `release-name` set to `{release-name}` and `project` set to `{project}`. If `{project}` is empty, omit that filter. Pick the deployment with the latest completed-on that has a deployment-status of succeeded. Note environment-name, release-definition-name and completed-on. If none is found, call `azure-devops-get-release` with `name` set to `{release-name}` and report what it returns, then stop.
**Step 2: Count tickets around it (zendesk server)**
Let T be completed-on. Call `zendesk-get-ticket` with `created.from` and `created.to` covering the 24 hours before T, then again covering the 24 hours after T. Count tickets in each window, and count how many are priority high or urgent. Call `zendesk-get-ticket` again for the after window with `type` set to `incident` or `problem` if the first window shows a rise.
**Step 3: Report**
State the deployment (release, environment, completed-on). Give a two-row table: window, tickets, high or urgent, incidents or problems. List the five most recent tickets from the after window with ticket-id, subject and created-date. Finish with one sentence: spike or no spike, and a caution that timing is correlation only.
**Rules & Guidelines:**
* `azure-devops-*` tools belong to the azure-devops server and `zendesk-*` tools to the zendesk server. Both servers must be connected; if a tool is missing, say which server is not connected and stop.
* This prompt is read-only. Never call `zendesk-add-ticket`, `zendesk-update-ticket`, `zendesk-add-ticket-comment`, `zendesk-make-ticket-comment-private`, `zendesk-add-user`, `zendesk-update-user`, `zendesk-add-organization`, `zendesk-update-organization`, `zendesk-add-organization-member`, `zendesk-add-group`, `zendesk-update-group` or `zendesk-add-group-member`. Azure DevOps has no write tools here.
* Pass `max-records` set to `{max-records}` on every call (default 50 when empty).
**Validation:**
* If either window returns zero tickets, report that and do not compute a ratio.
* The two systems may use different time zones; state the zone of completed-on as returned and treat the windows as approximate.
* Do not claim the release caused any ticket.
Who it's for
One answer, three teams that use it
Release managers
Check support signal after every deploy
Get before and after ticket counts for a release, so a spike in support volume does not go unnoticed.
Compare Zendesk ticket counts before and after the latest Fabrikam API release in Azure DevOps.
Support managers
Know when a release hits the queue
See whether volume moved after a deployment, so you can staff up or alert engineering early.
Did the Northwind portal deployment yesterday push up our Zendesk ticket volume?
DevOps engineers
Add support data to the release review
Bring the before and after ticket ratio into your post release check, with the correlation caveat stated.
What is the Zendesk ticket ratio for the 24 hours around the last Contoso Mobile release?
How it works
What PopdockAI does when you ask
You name the release, and your AI assistant lines up the deployment time with Zendesk ticket counts. It reports the numbers, states the limits and changes nothing.
01
Ask
You name the release definition.
02
Read
It finds the latest deployment and its completion time in Azure DevOps.
03
Count
It counts Zendesk tickets in the 24 hours before and after.
04
Report
You get both counts, the ratio and a note that timing is not proof of cause.
What PopdockAI provides
The tools behind the answer
Ready made tools for Zendesk and one secure connection to your AI tool. No code, no exports.
azure-devops-get-deployment
azure-devops-get-release
zendesk-get-ticket
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
A quick, honest read on post release support volume
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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