/
/
See how many customers a Jira bug really affects
For support and engineering teams who want Jira bugs prioritized on the Zendesk tickets behind them, by asking their AI assistant.
On this page
Connector
Connect Zendesk, pick your AI tool and paste the prompt.
The problem
Bugs get prioritized without counting the customers
Engineering ranks Jira bugs without knowing how many customers hit them, because the evidence sits in Zendesk. Searching tickets by keyword and counting organizations by hand is slow, so it is usually skipped.
Without PopdockAI
- Read the Jira issue and guess search terms
- Search Zendesk and open each ticket
- Count organizations in a spreadsheet
- Prioritize on gut feel when it takes too long
With PopdockAI
- Distinctive terms from the issue summary are searched
- Each candidate ticket is kept or rejected with a reason
- Tickets are grouped by organization with bad ratings counted
- The impact rating states it is an estimate
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Estimate the customer impact of Jira issue {issue-key} by finding Zendesk tickets about the same problem created in the last {lookback-days} days (default 30).
**Step 1: Read the issue (Jira)**
Call `jira-get-issue` with issue-key {issue-key}. If it does not exist, stop and say so. Note its summary, status, assignee and created date. If the summary starts with `[ZD-<id>]`, that ticket is the origin.
**Step 2: Find related tickets (Zendesk)**
* If there is an origin ticket, call `zendesk-get-ticket` with its ticket-id.
* Pick 2 or 3 distinctive terms from the issue summary (product area, error text, feature name; never generic words like error or issue). For each, call `zendesk-get-ticket` with subject.contains set to the term and created.from set to today minus {lookback-days} days (30 if empty).
* Merge the results and drop duplicates. Read each candidate's subject and keep only those plausibly about the same problem. List the ones you rejected with a one-word reason.
**Step 3: Enrich (Zendesk)**
For the kept tickets, call `zendesk-get-satisfaction-rating` with ticket-id to find bad ratings, and group the tickets by organization-name.
**Step 4: Report**
* The issue: key, summary, status.
* Totals: matching tickets, open versus solved, distinct organizations, bad satisfaction ratings.
* A table by organization: ticket count, highest priority, oldest open ticket.
* The ticket list: id, subject, status, priority, organization.
* A one-sentence impact rating (low, medium or high) with the reason.
**Rules & Guidelines:**
* `jira-get-issue` is on the jira server. `zendesk-get-ticket` and `zendesk-get-satisfaction-rating` are on the zendesk server.
* Read-only. Do not call `jira-update-issue`, `jira-add-issue-comment`, `zendesk-add-ticket-comment` or `zendesk-update-ticket`. Suggest link-ticket-to-issue for tickets the user wants linked.
* Subject matching is a heuristic. Say so in the report and never present the count as exact.
**Validation:**
* If no ticket matches any term, report zero impact found and list the terms searched, so the user can suggest better ones.Who it's for
One answer, three teams that use it
Engineering managers
Prioritize the bugs customers actually hit
See how many tickets and organizations a Jira issue touches, with a low, medium or high rating, before you plan the sprint.
How much customer impact does Jira issue WEB-882 have in Zendesk over the last 60 days?
Product managers
Back a priority call with evidence
Name the organizations affected and the bad ratings involved when you argue for moving a bug up the backlog.
Which organizations have raised tickets about Jira bug APP-145, and did any rate us badly?
Support leads
Show engineering who is affected
Turn scattered tickets into a table by organization that engineering can act on, with the search terms listed for transparency.
Rate the Zendesk customer impact of Jira issue PAY-402 and list the tickets you kept and rejected.
How it works
What PopdockAI does when you ask
You name the Jira issue and a period, and your AI assistant searches recent Zendesk tickets and rates the customer impact. It lists the terms it searched and changes nothing.
01
Ask
You name the Jira issue and a lookback period.
02
Search
It searches recent Zendesk tickets on a few distinctive terms from the issue summary.
03
Filter
It keeps tickets about the same problem, notes rejects, and counts bad ratings.
04
Report
You get totals, a table by organization and an impact rating with the reason.
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.
jira-get-issue
zendesk-get-ticket
zendesk-get-satisfaction-rating
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
Bugs ranked on real customer impact
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.

.webp)
