IT Ticket Resolution Time Estimator
Estimates the expected resolution time for an IT support ticket based on priority level, issue complexity, current team workload, and available support staff.
Formulas Used
Base Resolution Time (hrs)
= Average Handle Time × Complexity Multiplier × Priority Multiplier
Team Throughput (tickets/day)
= Agents × (Shift Hours ÷ Average Handle Time)
Queue Wait Time (hrs)
= (Open Tickets ÷ Throughput per Day) × Shift Hours
Total Estimated Resolution Time (hrs)
= Base Resolution Time + Queue Wait Time
Multiplier Tables:
- Priority: P1 = 0.25×, P2 = 0.50×, P3 = 1.00×, P4 = 2.00×
- Complexity: Simple = 0.5×, Moderate = 1.0×, Complex = 2.0×, Very Complex = 3.5×
SLA Benchmarks (business hours): P1 = 4 hrs, P2 = 8 hrs, P3 = 24 hrs, P4 = 72 hrs
Assumptions & References
- Resolution time is estimated in business hours based on the configured shift length.
- Priority multipliers are derived from common ITIL SLA frameworks (P1 critical = fastest response).
- Complexity multipliers reflect typical IT support effort scaling from industry benchmarks.
- Queue wait time assumes a First-In-First-Out (FIFO) queue with uniform agent capacity.
- All agents are assumed to be equally skilled and working the full shift duration.
- SLA targets follow widely adopted ITIL v3 / HDI benchmarks for enterprise IT support.
- This estimator does not account for ticket escalations, on-call premiums, or third-party vendor delays.
- References: ITIL v4 Service Management, HDI Support Center Practices & Salary Report, Zendesk Benchmark Report.