What are It Support metrics? Crafting the perfect It Support metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find It Support metrics with AI While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
Examples of It Support metrics and KPIs 1. Incident Response Time The average time it takes for the IT department to respond to an incident after it is reported.
What good looks like for this metric: 30 minutes to 1 hour
Ideas to improve this metric Implement automated alert systems Conduct regular training sessions Set up a 24/7 support team Streamline incident escalation processes Utilise incident management tools 2. First Contact Resolution Rate The percentage of IT issues resolved during the first contact with the user.
What good looks like for this metric: 70% to 80%
Ideas to improve this metric Enhance self-service tools and resources Improve knowledge base quality Conduct specialised training for support staff Implement a feedback loop for continuous improvement Use advanced diagnostic tools 3. System Uptime The percentage of time that IT systems are operational and available for use.
What good looks like for this metric: 99% to 99.9%
Ideas to improve this metric Regularly update and patch systems Implement high availability solutions Conduct regular system monitoring Perform routine maintenance checks Use redundant systems 4. User Satisfaction Score The average satisfaction rating given by users after IT services are provided.
What good looks like for this metric: 4.0 to 4.5 out of 5
Ideas to improve this metric Offer regular customer service training Obtain user feedback and act on it Enhance communication channels Implement a user-friendly ticketing system Provide regular updates to users 5. Mean Time to Repair (MTTR) The average time taken to fully repair an IT issue after it is reported.
What good looks like for this metric: 2 to 4 hours
Ideas to improve this metric Improve diagnostic procedures Use automated repair tools Maintain an updated inventory of spare parts Enhance collaboration between IT teams Conduct thorough post-incident reviews
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1. Incident Response Time The average time taken by the team to respond to reported incidents
What good looks like for this metric: Less than 30 minutes
Ideas to improve this metric Implement automated alert systems Conduct regular training on incident management Set clear response time goals Prioritise incidents based on severity Review and analyse past response times for improvement 2. System Uptime The percentage of time systems are operational and available
What good looks like for this metric: 99.9% or above
Ideas to improve this metric Conduct regular system maintenance Implement redundancy solutions Perform load testing to understand capacity Monitor system health in real-time Establish a disaster recovery plan 3. User Satisfaction Score Survey score given by users based on their satisfaction with team support
What good looks like for this metric: 8 out of 10 or higher
Ideas to improve this metric Regularly survey users to gather feedback Implement a user-friendly ticketing system Ensure timely updates to users Provide training in customer service skills Analyse feedback and address common issues 4. Ticket Resolution Rate The percentage of tickets resolved within the agreed service level agreement (SLA)
What good looks like for this metric: 95% or higher
Ideas to improve this metric Establish clear SLAs for ticket resolution Use ticketing software to prioritise workload Encourage team collaboration on complex issues Track pending tickets and address bottlenecks Hold regular reviews on ticket performance 5. Change Success Rate The percentage of system changes that are successfully implemented without causing incidents
What good looks like for this metric: 90% or higher
Ideas to improve this metric Establish a change management process Conduct risk assessments before changes Communicate changes to all stakeholders Provide training on implementing changes Review and learn from failed changes
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1. On-time Arrival Rate Percentage of containers arriving at the port on schedule
What good looks like for this metric: 95%-99%
Ideas to improve this metric Automate scheduling notices Use real-time tracking tools Coordinate with logistics partners Optimise route planning Implement contingency protocols 2. Container Dwell Time Average time containers remain at the terminal before offloading
What good looks like for this metric: 2-3 days
Ideas to improve this metric Upgrade processing systems Streamline customs procedures Enhance coordination with transport Schedule timed offloading Implement penalty charges for delays 3. Container Utilisation Rate Percentage of container space effectively used during transport
What good looks like for this metric: 80%-85%
Ideas to improve this metric Conduct regular audits Implement container sharing Evaluate cargo plans Invest in container optimisation software Train staff on best loading practices 4. Compliance Incidents Number of compliance-related issues reported in container tracking
What good looks like for this metric: 1-2 per quarter
Ideas to improve this metric Conduct regular staff training Update compliance protocols Implement an incident reporting system Review past incidents for trends Foster a culture of transparency 5. System Uptime Percentage of time the Trutrack system is operating without issues
What good looks like for this metric: 99%-99.9%
Ideas to improve this metric Schedule regular system maintenance Use reliable servers Ensure adequate IT support Implement redundancy measures Monitor system performance continuously
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1. Uptime Percentage The percentage of time the hardware is operational and available to the user without unplanned outages
What good looks like for this metric: 99%
Ideas to improve this metric Conduct regular maintenance checks Implement automated monitoring systems Invest in high-quality hardware components Train users on proper device handling Have immediate on-call technical support 2. Mean Time to Repair (MTTR) The average time taken to repair a hardware failure and restore functionality
What good looks like for this metric: Less than 4 hours
Ideas to improve this metric Streamline repair processes Stock essential spare parts Conduct regular technician training Utilise detailed error logging Develop a priority repair system 3. Mean Time Between Failures (MTBF) The average time interval between hardware failures
What good looks like for this metric: Over 30,000 hours
Ideas to improve this metric Use high-reliability components Ensure environmental conditions are optimal Regularly update drivers and software Perform thorough pre-deployment testing Implement predictive maintenance strategies 4. Hardware Replacement Rate The frequency at which hardware needs replacing due to failure or obsolescence
What good looks like for this metric: 0-5% annually
Ideas to improve this metric Analyse end-of-life cycles Prioritise purchasing from reputable manufacturers Develop a proactive upgrade schedule Conduct cost-benefit analysis for replacements Ensure comprehensive warranty coverage 5. User Satisfaction Score A measurement of user satisfaction regarding hardware performance and reliability
What good looks like for this metric: Above 85%
Ideas to improve this metric Gather regular user feedback Implement user-centric design improvements Ensure consistent hardware updates Offer convenient user support options Address common user complaints proactively
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1. System Uptime The percentage of time the infrastructure is operational and accessible to users.
What good looks like for this metric: 99.9%
Ideas to improve this metric Implement redundancy systems Perform regular maintenance checks Upgrade hardware components Monitor using advanced tools Develop a disaster recovery plan 2. Service Response Time The average time taken to respond to service requests or queries from users.
What good looks like for this metric: Less than 3 seconds
Ideas to improve this metric Optimise server configurations Use load balancing techniques Increase bandwidth availability Implement caching strategies Enhance database management 3. User Satisfaction Score A measure of user satisfaction collected through surveys and feedback forms.
What good looks like for this metric: Above 85%
Ideas to improve this metric Conduct regular user feedback sessions Implement a user-friendly interface Deliver consistent customer support Analyse feedback for improvements Introduce regular updates based on suggestions 4. Innovation Adoption Rate The percentage of new features or innovations adopted by users over time.
What good looks like for this metric: Above 60%
Ideas to improve this metric Promote new features actively Provide training sessions for users Offer incentives for early adoption Simplify the onboarding process Use user testimonials to encourage uptake 5. Incident Resolution Time The average time taken to resolve incidents or issues reported within the infrastructure.
What good looks like for this metric: Under 4 hours
Ideas to improve this metric Maintain a knowledgeable support team Use automated incident detection Streamline the issue escalation process Maintain a robust incident management tool Review and refine resolution procedures
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Tracking your It Support metrics Having a plan is one thing, sticking to it is another.
Having a good strategy is only half the effort. You'll increase significantly your chances of success if you commit to a weekly check-in process .
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
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Planning resources OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:
Tability's check-ins will save you hours and increase transparency
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