The Scenario
You own the shop and you've started to wonder if time is being logged but not charged. A technician mentioned last week that some timers default to non-billable and nobody reviews them. You want to pull the past 30 days of timer entries into an Excel workbook — technician, ticket, hours, charged status — and see what the ratio actually looks like before you bring it up at the team meeting Friday. This is not a formal audit. It's a question that needs a real answer.
The bad version:
- Navigate to Timers in RepairShopr. Export to CSV. Open in Excel.
- Find that "charged" exported as a boolean integer — 0 or 1 — not "Charged" or "Not Charged."
- Build a formula to convert 0s and 1s to labels. Sort by technician. Realize two employees share a first name and the export only included first names — the sort is mixing them up.
You wanted a quick check. You got a data cleanup project.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands the labor analysis context, and through its built-in RepairShopr integration it can pull all ticket timers from the past 30 days with full technician names and readable charged-status labels.
Export all timer entries from RepairShopr into this Excel sheet with ticket number, user name, time spent, and whether the timer was charged
What You Get
- Column A: ticket number
- Column B: technician full name
- Column C: time spent (numeric hours)
- Column D: charged status as a readable label ("Charged" or "Not Charged")
- Timer entries with zero hours are included — blanks are visible, not excluded
What If the Data Is Not Quite Ready
You want ticket subject alongside the timer for context during the review
Fetch all RepairShopr ticket timers from the last 30 days and write technician name, ticket ID, ticket subject, hours logged, and charged status into columns A through E
You only want non-billable entries to investigate the pattern
Pull all RepairShopr ticket timers from the last 30 days where charged status is false and write technician name, ticket ID, hours logged, and ticket subject into columns A through D
You want hours subtotaled by technician without building a pivot table
Fetch all RepairShopr ticket timers from the last 30 days and write technician name, ticket ID, hours, and charged status into columns A through D; then add a summary table in column F showing total hours and billable hours per technician
Full labor review: all timers, flag unbilled over threshold, subtotal by tech
Fetch all RepairShopr ticket timers from the last 30 days and write technician name, ticket ID, hours, and charged status into columns A through D; put "REVIEW" in column E for any non-charged entry where hours is greater than 1; add a subtotal section in column G showing total hours, billable hours, and unbilled hours per technician
The pattern: one prompt answers the question — the gut check becomes data, not a forty-five-minute spreadsheet project.
Try It
Open an Excel workbook and get the 7-day free trial of SheetXAI — ask it to pull last month's RepairShopr timer entries, flag non-billable work over an hour, and subtotal by technician so you have something concrete to bring to Friday's meeting. For related work, see how to export open tickets for workload planning or the RepairShopr integration overview.