The Scenario
The support analytics manager is three days into a quarterly review when her director asks for the first-contact-resolution rate across all departments for the last 30 days. She knows the closed tickets are in Zoho Desk. She knows the resolution data is in those tickets. What she doesn't have is any of it in a workbook where she can actually calculate FCR.
The bad version:
- Export closed tickets from Zoho Desk in CSV format. Two hundred tickets across six departments.
- Open the CSV in Excel. The resolution field is blank for about 40 rows — some tickets were closed without a resolution note, others used a canned response that isn't captured in this export.
- Spend an hour deciding which tickets to exclude, manually computing time-to-close from two separate timestamp columns using a DATEDIF formula.
By the time the data is in a state she can calculate FCR from, the afternoon is gone. The calculation takes ten minutes. The prep work ate the rest of the day.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects to Zoho Desk, pulls the closed ticket data you need, and writes it into the workbook in a format where you can immediately start calculating — no CSV export, no timestamp arithmetic, no manual exclusion logic.
For each closed Zoho Desk ticket ID in column A, fetch the ticket resolution and write the resolution text and time-to-close into columns B and C
What You Get
- Resolution text pulled from the ticket's resolution field for every closed ticket ID in column A
- Time-to-close written as a number of hours — not as a raw timestamp difference you have to calculate
- Tickets with no resolution note get a blank in column B with a flag rather than causing an error
- The workbook is ready for FCR calculation without any additional data preparation
What If the Data Is Not Quite Ready
You need the full closed ticket list, not just data for IDs you already have
List all Zoho Desk tickets closed in the last 30 days and write ticket ID, subject, department, close date, time to resolution in hours, and resolution summary into this worksheet
The full 30-day closed ticket dataset lands in the workbook so you're working from a complete picture.
You need to separate first-contact closures from reopened tickets
For each closed Zoho Desk ticket ID in column A, fetch the ticket resolution, time to close in hours, and reopen count — write these into columns B, C, and D; flag any ticket with a reopen count greater than 0 with 'REOPENED' in column E
FCR becomes calculable: count the rows without the REOPENED flag, divide by total.
You only need tickets from specific departments
List all Zoho Desk tickets closed in the last 30 days where the department is 'Enterprise Support' or 'SMB Support' — write ticket ID, subject, department, close date, time to resolution in hours, and reopen count into this worksheet
The analysis scope is constrained to the departments the director actually asked about.
Full kill chain: pull data, flag FCR-eligible rows, and surface the slow closures
List all Zoho Desk tickets closed in the last 30 days — write ticket ID, subject, department, close date, time to resolution in hours, and reopen count into columns A through F; flag tickets with reopen count 0 as 'FCR ELIGIBLE' in column G; flag any FCR-eligible ticket with time to resolution greater than 24 hours with 'SLOW CLOSE' in column H
One prompt returns the full FCR dataset with eligibility flags and outlier tags, ready for the quarterly deck.
The pattern: ask for the classification logic alongside the data pull so the workbook arrives analysis-ready, not requiring another pass.
Try It
Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull all closed Zoho Desk tickets from the last 30 days with reopen counts so you can calculate FCR without touching another export. For related tasks, see how to export open tickets for a backlog review, or return to the Zoho Desk overview for the full picture.