The tickets that shouldn't exist
Password reset. Password reset. Password reset. Printer. Password reset.
High ticket volume isn't always a sign of good service - it's often a sign of unresolved root causes. The same problems create the same tickets week after week, burning technician time and training clients to call for things they could solve themselves.
The scenario:
You want to analyse ticket patterns and reduce volume through prevention, self-service, and automation.
The prompt:
You're analysing ticket volume for reduction opportunities.
Data: [paste ticket categories, volumes, resolution times]
Create an analysis that:
- Identifies the top 10 recurring ticket types
- Calculates cost per ticket type (volume x avg time x rate)
- Categorises by reduction strategy: automation, self-service, prevention, training
- Prioritises by ROI (cost to fix vs. cost of continuing)
- Proposes specific solutions for the top 5
Include a 90-day implementation roadmap.