What are Support metrics? Identifying the optimal Support metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find 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 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. Customer Satisfaction Score (CSAT) Measures the percentage of customers who are satisfied with their service experience on the platform by collecting feedback after interactions
What good looks like for this metric: 80-85%
Ideas to improve this metric Train customer service agents regularly Implement a robust feedback collection process Utilise automation for frequent issues Monitor and review agent performance Enhance knowledge database for agents 2. Net Promoter Score (NPS) Assesses customer loyalty through how likely they are to recommend the service to others on a scale of 0-10
What good looks like for this metric: 30-50
Ideas to improve this metric Focus on customer journey mapping Address pain points identified in feedback Provide timely and personalised responses Recognise and reward loyal customers Conduct regular product and service enhancements 3. First Contact Resolution (FCR) Percentage of customer issues resolved at the first interaction, indicating efficiency and effectiveness
What good looks like for this metric: 70-75%
Ideas to improve this metric Ensure agents have access to comprehensive information Provide decision-making authority to agents Implement initial troubleshooting steps in self-service Analyse repeat contact reasons and address them Utilise real-time collaboration tools for support 4. Customer Retention Rate Percentage of existing customers retained over a period, reflecting long-term platform satisfaction and loyalty
What good looks like for this metric: 75-85%
Ideas to improve this metric Develop loyalty programmes and incentives Regularly engage with customers via newsletters Offer personalised experiences and service Address customer feedback promptly Ensure competitive pricing and value delivery 5. Average Response Time Average time taken for initial response by the customer service team, indicating responsiveness and efficiency
What good looks like for this metric: 10-12 minutes on chat; 24 hours on email
Ideas to improve this metric Implement automated response systems Optimise and streamline workflow processes Schedule efficient shift rotations Set clear response time targets for teams Employ predictive analytics for demand forecasting
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1. Customer Satisfaction Score (CSAT) Measures customer happiness with a product or service, usually on a scale of 1-5.
What good looks like for this metric: 80-85%
Ideas to improve this metric Gather customer feedback regularly Address complaints promptly Enhance product features based on user feedback Train customer support staff adequately Implement a loyalty program 2. Net Promoter Score (NPS) Assesses customer loyalty by asking them to rate the likelihood of recommending the product to others on a scale of 0-10.
What good looks like for this metric: 30-50
Ideas to improve this metric Cultivate strong customer relationships Resolve issues swiftly and efficiently Encourage customers to share testimonials Offer incentives for referrals Improve the overall customer experience 3. Customer Effort Score (CES) Evaluates the ease of service usage by asking customers to rate their effort level in completing a task.
What good looks like for this metric: 5 or lower
Ideas to improve this metric Simplify processes Improve website usability Enhance user interface design Provide clear instructions and guidance Reduce waiting times in service 4. Churn Rate Indicates the percentage of customers who stop using a product or service within a particular time frame.
What good looks like for this metric: 5-7%
Ideas to improve this metric Identify reasons causing customer churn Enhance customer retention strategies Offer personalised experiences Develop an attentive onboarding process Continuously engage with customers 5. Customer Lifetime Value (CLV) A prediction of the net profit attributed to the entire future relationship with a customer.
What good looks like for this metric: 3 times the acquisition cost
Ideas to improve this metric Increase customer satisfaction initiatives Track customer purchasing patterns Improve customer segmentation Enhance cross-selling initiatives Increase quality of customer support
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1. Net Promoter Score (NPS) Measures customer loyalty and satisfaction by asking how likely customers are to recommend your product or service to others
What good looks like for this metric: 50 or above is considered excellent
Ideas to improve this metric Improve customer service Enhance product quality Request feedback and act on it Offer referral incentives Build a strong customer community 2. Customer Referrals Tracks the number of new customers acquired through referrals from existing customers
What good looks like for this metric: 10% of new customers is considered good
Ideas to improve this metric Introduce a referral program Simplify the referral process Provide incentives for referrals Highlight referral successes Ask for referrals at peak satisfaction points 3. Social Media Mentions Counts the number of times your brand is mentioned on social media platforms
What good looks like for this metric: Varies widely by industry and brand size
Ideas to improve this metric Engage with users on social media Create shareable content Encourage user-generated content Monitor social media trends Collaborate with influencers 4. Customer Lifetime Value (CLV) Estimates the total revenue a business can expect from a single customer account
What good looks like for this metric: Varies widely by industry
Ideas to improve this metric Enhance customer experience Upsell and cross-sell products Improve customer loyalty programs Offer exceptional after-sales service Personalise marketing efforts 5. Review and Rating Volume Tracks the number and quality of reviews and ratings your products or services receive
What good looks like for this metric: 4 stars or higher is considered good
Ideas to improve this metric Encourage customers to leave reviews Respond to all reviews Address negative feedback promptly Showcase positive reviews Simplify the review process
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1. Team Velocity Measures the amount of work a team completes during a sprint, calculated by the total story points completed
What good looks like for this metric: 20-40 story points per sprint
Ideas to improve this metric Streamline workflows Refine sprint planning Enhance team collaboration Invest in skill development Use consistent estimation techniques 2. Sprint Burndown Tracks the completion of work throughout the sprint, showing remaining tasks vs. time
What good looks like for this metric: Consistent downward trend with minimal or no backlog at sprint end
Ideas to improve this metric Daily stand-ups to identify blockers Encourage realistic task estimates Prioritise critical tasks early Use burn-down charts for visibility Improve task segmentation 3. Cycle Time The total time it takes from starting a work item to its completion
What good looks like for this metric: 1-2 days for small tasks, up to 1-2 weeks for larger tasks
Ideas to improve this metric Minimize work-in-progress limits Enhance automated testing Implement continuous integration Use Kanban to visualise workflow Regularly review cycle times 4. Lead Time The total time from when a customer request is made to when it is fulfilled
What good looks like for this metric: Varies based on complexity, aim for a reduction over time
Ideas to improve this metric Prioritise tasks based on customer value Optimise backlog grooming Reduce bottlenecks Increase cross-functional team collaboration Regularly analyse and adjust processes 5. Customer Satisfaction (NPS) Measures customer satisfaction and loyalty through surveys or Net Promoter Score (NPS)
What good looks like for this metric: NPS score of 50-70
Ideas to improve this metric Increase customer feedback channels Actively respond to customer issues Continually improve product features Regularly review customer feedback Train team on customer service excellence
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1. Average Rides Per Week The average number of rides a user takes per week, measured monthly
What good looks like for this metric: 2-4 rides per week
Ideas to improve this metric Promote regular scheduling of rides Provide incentives for more frequent rides Enhance ride experience to encourage repeat rides Introduce loyalty programs for frequent riders Offer discounts during off-peak hours 2. Rider Retention Rate Percentage of riders who continue to use the service over 6 months
What good looks like for this metric: 45-60%
Ideas to improve this metric Improve customer support services Develop a strong onboarding process Offer personalised ride suggestions Implement feedback loops for continuous improvement Conduct regular rider engagement activities 3. Usage Growth Rate The percentage increase in total rides over 6 months
What good looks like for this metric: 30-50%
Ideas to improve this metric Launch seasonal promotion campaigns Increase partnership with local events Enhance visibility through strategic marketing Develop a referral program for riders Invest in community outreach and collaborations 4. Customer Satisfaction Score Average satisfaction rating provided by users after rides
What good looks like for this metric: 4.0-4.5 out of 5
Ideas to improve this metric Ensure timely and reliable rides Focus on driver etiquette and professionalism Utilise user feedback for service adjustments Upgrade vehicle comfort and cleanliness Establish transparent pricing and billing 5. Ride Frequency Distribution Distribution of ride frequencies among users over 6 months
What good looks like for this metric: 20% regular vs 80% occasional
Ideas to improve this metric Create targeted marketing for occasional riders Analyse patterns for frequent and infrequent users Offer educational content to highlight service benefits Identify barriers and streamline ride-booking process Implement targeted loyalty rewards for consistency
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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. Customer Satisfaction (CSAT) Measures customer satisfaction based on their experience with the product, typically through surveys
What good looks like for this metric: 75%-85%
Ideas to improve this metric Improve customer support Enhance product features Implement user feedback promptly Conduct regular user experience reviews Offer personalised customer interactions 2. Net Promoter Score (NPS) Measures customer loyalty by asking how likely they are to recommend the product to others
What good looks like for this metric: 30-50
Ideas to improve this metric Implement user-friendly design Enhance product reliability Offer proactive customer support Regularly update and improve the product Conduct customer satisfaction surveys 3. Monthly Active Users (MAU) Tracks the number of unique users engaging with the product within a month
What good looks like for this metric: Varies by industry
Ideas to improve this metric Increase marketing efforts Enhance user engagement features Regularly update content Simplify onboarding process Offer promotions or incentives 4. Customer Retention Rate Measures the percentage of customers who continue using the product over a specific period
What good looks like for this metric: 80%-90%
Ideas to improve this metric Improve customer service Enhance product quality Analyse and address churn reasons Regularly engage with customers Offer loyalty programmes 5. Average Revenue Per User (ARPU) Calculates the average income generated per user, typically on a monthly or annual basis
What good looks like for this metric: Varies by industry
Ideas to improve this metric Upsell premium features Introduce new pricing models Increase user engagement Expand user base Conduct pricing analysis
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1. Customer Satisfaction Score (CSAT) Measures the level of satisfaction customers have with a product or service, often collected via surveys at the end of a transaction or service interaction. Calculated as (Number of Satisfied Customers / Total Number of Responses) * 100.
What good looks like for this metric: 75-85%
Ideas to improve this metric Gather regular customer feedback Resolve customer complaints promptly Enhance product features based on feedback Train customer support teams Improve user experience design 2. Net Promoter Score (NPS) Assesses customer loyalty by asking how likely customers are to recommend the product to others. Calculated as percentage of promoters minus percentage of detractors.
What good looks like for this metric: 30-50
Ideas to improve this metric Engage with promoters for referrals Address issues raised by detractors Implement a customer loyalty program Improve overall product quality Personalise customer interactions 3. Monthly Recurring Revenue (MRR) The total predictable revenue that a business expects to make every month. Calculated by summing up the recurring revenue from all customers in a month.
What good looks like for this metric: Varies widely by industry
Ideas to improve this metric Upsell existing customers Introduce tiered pricing models Reduce customer churn Expand market reach Improve the onboarding process 4. Customer Acquisition Cost (CAC) The cost associated with acquiring a new customer, calculated by dividing the total marketing and sales expenses by the number of new customers acquired.
What good looks like for this metric: $10-$200
Ideas to improve this metric Optimise marketing spend Increase organic growth channels Improve lead conversion rates Enhance targeting strategies Strengthen brand awareness 5. Customer Lifetime Value (CLTV) The total revenue a business expects from a customer over their lifetime. Calculated by multiplying the average purchase value, purchase frequency, and customer lifespan.
What good looks like for this metric: 3-5x CAC
Ideas to improve this metric Enhance customer retention efforts Increase average order value Encourage repeat purchases Improve product quality and features Develop customer loyalty programs
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1. Defect Density Measures the number of defects per unit size of the software, usually per thousand lines of code
What good looks like for this metric: 1-10 defects per KLOC
Ideas to improve this metric Implement code reviews Increase automated testing Enhance developer training Use static code analysis tools Adopt Test-Driven Development (TDD) 2. Mean Time to Failure (MTTF) Measures the average time between failures for a system or component during operation
What good looks like for this metric: Varies widely by industry and system type, generally higher is better
Ideas to improve this metric Conduct regular maintenance routines Implement rigorous testing cycles Enhance monitoring and alerting systems Utilise redundancy and failover mechanisms Improve codebase documentation 3. Customer-Reported Incidents Counts the number of issues or bugs reported by customers within a given period
What good looks like for this metric: Varies depending on product and customer base, generally lower is better
Ideas to improve this metric Engage in proactive customer support Release regular updates and patches Conduct user feedback sessions Improve user documentation Monitor and analyse incident trends 4. Code Coverage Indicates the percentage of the source code covered by automated tests
What good looks like for this metric: 70-90% code coverage
Ideas to improve this metric Increase unit testing Use automated testing tools Adopt continuous integration practices Refactor legacy code Integrate end-to-end testing 5. Release Frequency Measures how often new releases are deployed to production
What good looks like for this metric: Depends on product and development cycle; frequently updated software is often more reliable
Ideas to improve this metric Adopt continuous delivery Automate deployment processes Improve release planning Reduce deployment complexity Engage in regular sprint retrospectives
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1. Monthly Recurring Revenue (MRR) The total revenue generated from all active subscriptions in a month. Calculated as the sum of all subscription values per month.
What good looks like for this metric: $10,000 - $500,000 depending on industry
Ideas to improve this metric Increase the price of your subscription plans Upsell existing customers to higher-tier plans Acquire new subscribers through marketing campaigns Improve product offerings to reduce churn Implement annual or semi-annual billing cycles 2. Customer Lifetime Value (CLTV) The total revenue a business can reasonably expect from a single customer account throughout their relationship. Calculated as average revenue per account multiplied by average customer lifespan.
What good looks like for this metric: $100 - $1,500 depending on industry
Ideas to improve this metric Enhance customer support to increase retention Develop loyalty programs Segment customers for personalized marketing Offer cross-sell and upsell opportunities Collect and act on customer feedback 3. Customer Churn Rate The percentage of customers who cancel their subscriptions over a given period. Calculated as the number of customers who left divided by the total number of customers at the start of the period.
What good looks like for this metric: 2-8% per month
Ideas to improve this metric Improve customer onboarding experience Regularly engage with customers through communication channels Offer limited-time promotions to retain wavering customers Analyse reasons for cancellation and address common issues Introduce long-term subscription discounts 4. Average Revenue Per User (ARPU) The average amount of money earned from each active user or subscriber. Calculated by dividing total revenue by the number of active users.
What good looks like for this metric: $10 - $200 per month
Ideas to improve this metric Encourage customers to upgrade their plans Introduce add-ons and premium features Bundle products and services Improve user experience to enhance perceived value Use targeted pricing strategies 5. Subscriber Growth Rate The rate at which new subscribers are acquired over a given period. Calculated as the percentage increase in subscribers from one period to the next.
What good looks like for this metric: 5-10% per month for growing businesses
Ideas to improve this metric Invest in digital marketing campaigns Offer referral incentives Enhance presence on social media platforms Partner with influencers or other businesses Continuously optimize your website for conversions
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Tracking your Support metrics Having a plan is one thing, sticking to it is another.
Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
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