Support Ticket Trend Analysis

Analyse support ticket patterns to prevent recurring issues

🧪 Tested by a human Intermediate 👤 Support 👤 Manager 👤 Analyst
Analyse support tickets from [PERIOD]. Identify: (1) Top 10 issue categories by volume, (2) Trending up vs down vs stable, (3) Average resolution time by category, (4) Tickets that could be prevented with documentation, (5) Tickets that need a product fix, (6) Staffing implications. Recommend 3 actions to reduce ticket volume.

Works on

⭐ M365 Copilot (Best) 🟢 ChatGPT

Copy & Open in

🟢 ChatGPT

Prompt is copied to your clipboard when you click

Tips for Best Results

  • Categorise tickets consistently for meaningful analysis
  • Top issue = top opportunity for self-service content
  • Share findings with product team for permanent fixes

📎 More Prompts

CSAT Follow-Up Message

●●
Draft a follow-up message to [CUSTOMER] who gave a [SCORE — 1-2 negative / 3 neutral / 4-5 positive] CSAT score after their support interaction about [ISSUE]. For negative: empathise, ask what went wrong, offer to make it right. For positive: thank them, ask for a testimonial. Tone: genuine, not scripted.
⚡ M365 ⭐ GPT 🟠 Claude

Customer Onboarding Check-In

●
Draft a proactive check-in email for [CUSTOMER] who is [DAYS] days into onboarding with [PRODUCT]. Include: (1) Warm personal check-in, (2) Ask how their experience has been, (3) Share a tip they probably have not discovered, (4) Offer a quick call if they need help, (5) Link to helpful resource. Tone: caring, not salesy. Under 100 words.
⚡ M365 ⭐ GPT 🟠 Claude

Escalation Communication Template

●●
Draft an escalation update for [CUSTOMER] about [ISSUE] that has been escalated to [TEAM]. Include: (1) Acknowledgement that we understand the urgency, (2) What we are doing (specific actions), (3) Who is working on it (by role, not name), (4) Expected next update time, (5) What they can do in the meantime (workaround). Tone: professional, empathetic, and confident.
⚡ M365 ⭐ GPT 🟠 Claude
💬