Track and analyze service bay performance metrics focusing on utilization rates, efficiency, and revenue generation across all service bays. This report helps optimize scheduling, staffing, and resource allocation while identifying opportunities to improve operational efficiency and customer satisfaction.
Report Objective
Monitor service bay utilization and efficiency metrics to optimize resource allocation, maximize revenue potential, and ensure high-quality service delivery. Track key performance indicators including bay utilization rates, service completion times, and revenue per bay to support data-driven operational decisions.
Service Bay Utilization Overview
Line chart showing daily utilization rates across service bays
Questions to Consider:
How does current utilization compare to target rates?
Are there consistent patterns in peak vs. low utilization periods?
Which service types are driving highest utilization?
What is the week-over-week trend in utilization rates?
Are there specific days showing consistently lower utilization?
How close are we to target utilization rates?
What is the average variance between scheduled and actual hours?
Are there patterns in scheduling accuracy?
How can we improve scheduling efficiency?
Service Efficiency Metrics
Bar chart comparing planned vs. actual service duration by service type
Questions to Consider:
What is the average variance between estimated and actual service times?
Which service types show the largest scheduling gaps?
How do different technicians compare in service completion efficiency?
Which service types show the highest efficiency?
Where are the largest gaps between planned and actual duration?
What factors contribute to service time variations?
How accurate are our service time estimates?
Which services show the most variability?
What is the impact on scheduling and customer satisfaction?
Revenue Performance
Bar chart showing revenue per bay and service type distribution
Questions to Consider:
Which service bays generate the highest revenue?
How does revenue per hour vary by service type?
What is the correlation between utilization and revenue?
Which bays are generating the highest revenue per hour?
How does service mix affect revenue performance?
What opportunities exist to optimize revenue generation?