close
Contact Us
Thank you! Our team will review your request and get in touch soon. Stay tuned for insights that drive smarter decisions with INSIA!
Oops! Something went wrong while submitting the form.
Service KPIs
chevron_right
Recurring Incident Analysis

Production Schedule Adherence

Get Started
Category:  
Analytical

Identifies repeat issues that occur frequently in service requests.

What it Measures ?

How many service issues happen repeatedly.

Relevant StakeHolders 

QA, Support Teams

Why it Matters ?

Reduces recurring issues through analysis.

In-depth Use Case / Real-world Example

This KPI reviews patterns in service tickets to highlight recurring problems. For example, if a cooling unit in a production line fails every three weeks, it may indicate a design, maintenance, or installation flaw. Manufacturing teams can use this insight to redesign parts, improve training, or enhance preventive maintenance protocols, ultimately reducing service workload and improving uptime.

KPI Definition

Business Value

Movement Direction

Sample Formula

Recurring Issues Count / Total Issues

Should Aim For
1
2
3
Track Similar KPIs
Technician Scheduling Efficiency
Assesses how effectively technicians are assigned to service jobs to reduce idle time and improve productivity.
Service Cost per Hour
Calculates the average cost of delivering one hour of service, including labor, parts, and overhead.
Warranty Repair Completion Time
Measures the average time taken to complete repairs that fall under warranty coverage.
Missed SLA Penalties
Tracks the number or cost of penalties incurred due to missing agreed-upon service level timelines.
Downtime Due to Service Issues
Service Order Accuracy Rate
Measures the percentage of service orders completed correctly without errors.
Customer Wait Time
Measures the average time a customer waits between logging a request and receiving the first service action.
Number of Open Tickets
Indicates the current volume of unresolved or pending service tickets in the system.
Service Workflow Efficiency
Measures how streamlined and effective the end-to-end service process is—from request to resolution.
Adherence to Preventive Maintenance Schedule
Tracks how consistently scheduled maintenance is performed on time as per plan.
Number of Repeat Service Calls
Measures how often the same issue requires multiple visits or follow-ups to fully resolve.
Field Technician Travel Time
Measures the average time technicians spend traveling to service locations.
Parts Inventory Accuracy
Evaluates the consistency between actual physical inventory of service parts and recorded inventory in the system.
Customer Follow-Up Rate
Measures the frequency of proactive follow-ups made with customers after service completion.
Number of Tickets Handled per Technician
Tracks how many service tickets are closed by each technician within a set time frame.
Focus on insights.
Not data preparation!
Get Started Today
Ready to transform your business with data-driven decisions?
ComplianceHippaISOGDPRAICFA
Get Demo
PRODUCT
Connect
Clean
Transform
Analyze
Report
Push AI
Security
Governance
Mobile
SOLUTIONS
Marketing
Sales
Manufacturing
Service
Procurement
Production
LEARN
INSIA Hub
Blogs
Case Studies
ABOUT
About us
Contact us
Terms & Conditions
Privacy Policy
DPA
©2024 Aramse Technologies Private Limited. All Rights Reserved.
Find us on
LinkedinInstagramFacebookYoutube