Turn support tickets into a weekly voice-of-customer report
The problem
Product teams don't see patterns hidden across hundreds of tickets and reviews.
How the agent works
Each week the agent clusters tickets, reviews and NPS comments into themes, counts them, pulls representative quotes, and flags new or growing issues.
Setup steps
- Export the week's tickets and feedback
- Ask the agent to cluster into themes with counts
- Include 2–3 verbatim quotes per theme
- Compare with last week's themes
- Post to the product channel
Tools that can do this
- Claude or ChatGPT with file upload
- n8n
- Zapier Agents
- Enterpret
Not ranked and not sponsored. Check each vendor's current features and pricing.
Human in the loop
PM reviews before prioritizing.
Risks and guardrails
Remove personal data before sending to a third-party model if required by policy.
ROI notes
Gives product a recurring view of customer pain without manual tagging.
Also useful: clean CRM data before reporting; monitor competitor pricing changes.
Related playbooks
Triage and tag every support ticket
Tickets land in one queue unlabeled, so urgent issues wait behind password resets.
Answer common customer questions from your help docs
The same questions are answered manually dozens of times a day.
Process routine refund and return requests
Simple refund requests require an agent to check order data, policy, and then click through several systems.