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8 examples of Support Team metrics and KPIs

What are Support Team metrics?

Identifying the optimal Support Team 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 Team 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 Team metrics and KPIs

Metrics for IT Department Efficiency

  • 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

Metrics for Agile leadership metrics

  • 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

Metrics for Quality and Reliability

  • 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

Metrics for Word-of-Mouth Marketing

  • 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

Metrics for Subscription business performance

  • 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

Metrics for Customer Service Platform Impact

  • 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

Metrics for User Satisfaction Improvement

  • 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

Metrics for Product Management Success

  • 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

Tracking your Support Team metrics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

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:

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