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Ticket Volume Trend Analyzer

Analyze support ticket patterns to identify emerging issues, seasonal trends, and systemic problems.

Updated June 2026
The prompt
Ticket data:
Last 30 days: {{last_30_days}}
Last 90 days: {{last_90_days}}
Top issues: {{top_issues}}
Average resolution time: {{resolution_time}}

Analyze: 1) Unexpected spikes or patterns, 2) Issues trending up (product/process/external?), 3) Which issues dominate effort vs. frequency, 4) Root causes (not symptoms), 5) Proactive recommendations to reduce tickets.
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Variables

Tickets and categories (last 30 days)
Historical trend (last 90 days)
Top 5-10 issue categories
Average time to resolve by category

Details

Author

AI Khazna

License

—

Security

—

Type

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