AI Prompts to Summarize Support Tickets Without Losing the Details
Ticket threads get long, and the important bit is usually buried in message 23. AI is good at summarizing them, but generic summaries drop exactly the details you need: what was promised, what's still broken, who's waiting on whom. These prompts keep those. 1. Summarize one ticket Summarize this ti
Posted on Oct 18 • Originally published at draftfirstcs.com
Ticket threads get long, and the important bit is usually buried in message 23. AI is good at summarizing them, but generic summaries drop exactly the details you need: what was promised, what's still broken, who's waiting on whom. These prompts keep those.
Summarize this ticket thread in 5 lines: the customer's problem in their words, what we've tried, current status, who's waiting on whom, and any promise we made with its date. Quote, don't paraphrase, any promise. [paste thread] Enter fullscreen mode Exit fullscreen mode Sample output (made-up names and dates):
Problem: "Exports over a month time out" (Dana, Oct 2) Tried: cache clear, smaller date ranges (works under 2 weeks) Status: engineering reproduced, fix in testing Waiting on: us. Release date not confirmed. Promise: "We'll have a fix by the 10th" (Sam, Oct 4).
Missed. Enter fullscreen mode Exit fullscreen mode 2. An account's ticket history From these tickets for [account] over the last 90 days, list: total count vs prior 90 days, top 3 themes with ticket numbers, any Sev1/Sev2, open tickets older than 7 days, and any repeated issue. [paste or attach] Enter fullscreen mode Exit fullscreen mode 3.
Weekly themes across all tickets Group last week's tickets into themes. For each: number of distinct accounts, ticket numbers, one verbatim quote, and whether it's new or rising. Count accounts, not tickets.
List tickets you couldn't classify. Enter fullscreen mode Exit fullscreen mode 4. Shift handoff note From the open tickets assigned to me, write a handoff note for the next shift: for each, ticket number, customer, one-line status, the next action, and any deadline.
Put anything due in the next 4 hours first. Enter fullscreen mode Exit fullscreen mode Rules that keep summaries honest Quote promises and customer complaints exactly. Ask it to list what it couldn't tell from the thread.
Spot-check one summary a day against the real thread for the first two weeks. Ticket themes feed your voice of the customer report, and account histories feed QBR prep.
Can AI summarize support tickets accurately? Mostly, if you ask it to quote promises and complaints exactly and spot-check summaries at first.
What should a ticket summary include? The problem in the customer's words, what's been tried, status, who's waiting on whom and any promises.
How do I find themes across many tickets? Ask AI to group them and count distinct accounts per theme, with ticket numbers and a quote each.
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