Support Ticket Trend Analysis

A

Aisha Bello

@aisha-bello

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Few-shot analysis pattern for identifying actionable insights from support ticket data.

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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

Details

Category

Business

Use Cases

support trend analysisticket pattern identificationproactive issue resolution

Works Best With

gpt-4oclaude-sonnet-4-20250514
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