The Scenario
Your IT director just sent a message: headcount review is next Thursday and leadership wants data on the backlog before then. You have 240 open tickets in Freshservice, no existing report, and a quarterly review deck that needs a pivot table showing average ticket age by priority. You've been meaning to pull this data for weeks. Now you have five days.
The bad version:
- Export the open tickets from Freshservice as a CSV, open it in Excel, discover that the "Created" column is formatted as a string and your age calculation breaks.
- Spend twenty minutes reformatting dates, deleting columns you don't need, and figuring out why column G is labeled "fr_due_date" instead of something human-readable.
- Build the pivot, realize you filtered by "Open" incorrectly and the export included resolved tickets, re-export, start over.
The deck is due Thursday. You have 240 rows of raw data and a pivot table that isn't built yet.
There's no budget to hire someone to clean this. There's no time to spend the next two hours reformatting a CSV. The analysis is the job — not the data wrangling that precedes it.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects to Freshservice directly, pulls the records you need, and writes them into your workbook in structured columns — ready for analysis. No export, no CSV cleanup, no formula archaeology.
Try this yourself — free for 7 days
SheetXAI installs in your Excel workbook in about a minute. Paste the prompt below and watch it run.
Open the SheetXAI sidebar in a blank Excel workbook and paste this prompt:
List all open Freshservice tickets and write Ticket ID, Subject, Priority, Requester Email, and Created date into columns A through E. Then add a column F showing how many days each ticket has been open since creation, and highlight rows where column F exceeds 5 days.
What You Get
- All open Freshservice tickets pulled into columns A–E with clean, consistently formatted values.
- Column F populated with a calculated day count for each ticket, computed from the Created date to today.
- Rows where the ticket is more than 5 days old highlighted so the worst of the backlog stands out immediately.
- Data in a structure ready for pivot tables, sorting, or charting — no reformatting required.
What If the Data Is Not Quite Ready
You only want tickets above a certain priority
List all open Freshservice tickets where Priority is 1 (Urgent) or 2 (High) and write Ticket ID, Subject, Priority, Requester Email, and Created date into columns A through E. Add column F showing days open and sort by column F descending.
You need to group by assigned agent to see workload distribution
Fetch all open Freshservice tickets and write Ticket ID, Subject, Priority, Assigned Agent, and Created date into columns A through E. Add column F showing days open. Then add a summary section in a new worksheet called "By Agent" showing each agent, their ticket count, and average days open.
The dates are coming back in an unexpected format
List all open Freshservice tickets and write Ticket ID, Subject, Priority, and Created date into columns A through D. Convert the Created date column to a consistent MM/DD/YYYY format. Then add column E showing days open as an integer.
Full backlog analysis for the leadership deck in one prompt
Pull all open Freshservice tickets and write Ticket ID, Subject, Priority, Requester Email, Assigned Agent, and Created date into columns A through F. Add column G showing days open. Highlight rows where days open exceeds 7. Then in a new worksheet called "Summary," build a table showing average days open grouped by Priority (Urgent, High, Medium, Low) and a second table showing ticket count by assigned agent.
One prompt, one operation — the raw data, the calculated column, the conditional formatting, and the summary tables land in the same run.
Try It
Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull your open Freshservice ticket backlog and calculate resolution time by priority. When you're done, see how to bulk update tickets from a triage sheet or return to the Freshservice hub.