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
- Install GPT for Sheets from the Google Workspace Marketplace (free tier included, no API keys needed).
- Export tickets to a sheet and paste the formulas with your own category lists.
- 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.
