As VP Customer Success, I need to analyze support ticket trends to identify improvement opportunities. Here are examples of how to analyze ticket patterns: Example 1: Ticket Pattern: 15 tickets about API rate limiting in 2 weeks Analysis: Engineering capacity issue; customers hitting limits during peak usage Action: Coordinate with product on limit increases, create proactive notification system Example 2: Ticket Pattern: 8 tickets from single enterprise account about reporting Analysis: Training gap; users not understanding advanced report builder Action: Schedule dedicated training session, create custom documentation Example 3: Ticket Pattern: Spike in onboarding tickets after new feature release Analysis: Documentation lag; new feature not covered in existing onboarding materials Action: Update onboarding content, notify CS team of common questions Now analyze these ticket patterns: Current Data: {{ticket_data}} For each pattern identified, provide: - Pattern description - Root cause analysis - Recommended action - Owner assignment - Success metric
Support Ticket Trend Analysis
Few-shot analysis pattern for identifying actionable insights from support ticket data.
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support trend analysisticket pattern identificationproactive issue resolution
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