GPT for Google Sheets, Docs AI, Slides, Forms

Support Ticket Classification Template

Triage support tickets in Google Sheets with AI: category, urgency and one-line summary per ticket with =GPT_CLASSIFY() formulas. Free template, no API keys.

Export the queue, drop three formulas next to it, and every ticket comes back with a category, an urgency level and a one-line summary — a triaged backlog you can sort, assign and report on.

Layout

Column Content Formula
A Ticket text
B Category =GPT_CLASSIFY(A2, "billing, bug report, feature request, how-to question, account access, refund")
C Urgency =GPT_CLASSIFY(A2, "urgent: blocked from working or losing money, normal: has a workaround, low: cosmetic or curiosity")
D One-liner =GPT_SUMMARIZE(A2, "one sentence, for a triage board")

Sort by C, then B — the urgent billing issues float to the top and the “how do I change my avatar” tickets sink.

Variations

  • Route to owners — map categories to teams in the classify list itself: "payments-team: anything about charges or invoices, product-team: bugs and features, success-team: everything else".
  • Multi-label tickets — a refund request that is also a bug? =GPT_TAG(A2, "billing, bug, feature request, account") applies every fitting label.
  • Sentiment for escalation — add =GPT_CLASSIFY(A2, "calm, frustrated, angry, threatening to churn") and hand the last bucket to a human first.
  • Non-English queues=GPT_TRANSLATE(A2, "English") in a helper column, classify the translation, keep one taxonomy across markets.

Get started

  1. Install GPT for Sheets from the Google Workspace Marketplace (free tier included, no API keys needed).
  2. Export tickets to a sheet and paste the formulas with your own category lists.
  3. Drag the formulas down your rows, then use Replace all GPT formulas with results in the sidebar before sorting.

Function reference: GPT functions for Google Sheets. Analyzing the feedback inside those tickets? See the sentiment analysis template.

FAQ

Can this replace my help desk’s auto-routing?

It complements it. Help desk rules match keywords; this reads the ticket. Use the sheet for backlog triage, category audits, or building the labeled dataset that improves your help desk rules — the export/import loop takes minutes.

What makes urgency detection reliable?

Defining urgency in the category list itself, e.g. “urgent: blocked from working or losing money”. The model applies your definition instead of reacting to how loudly the customer types.

How fast can I triage a backlog?

GPT for Sheets processes up to 10,000 results per hour, and each ticket needs two or three formulas — so a few-thousand-ticket backlog is an hour-scale job, not a week of interns.