What are Performance metrics? Developing an effective Performance metrics can be intimidating, especially when your daily duties demand your attention. To assist you, we've curated a list of examples to inspire your planning process.
Feel free to copy these examples into your favorite application, or leverage Tability to maintain accountability.
Find Performance 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 Performance 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. User Satisfaction Score Measures overall satisfaction of users with the design through surveys and feedback.
What good looks like for this metric: Average score of 75%
Ideas to improve this metric Gather regular user feedback Implement a user-centred design approach Conduct usability testing Iteratively refine designs based on user input Ensure consistent design standards 2. Task Success Rate Percentage of users able to complete tasks without issues in the design.
What good looks like for this metric: 80% completion rate
Ideas to improve this metric Simplify navigation paths Provide clear instructions Ensure responsive design Identify and fix usability issues Use tools to track task completion 3. Time on Task Average time users take to complete specific tasks using the design.
What good looks like for this metric: Depends on task complexity
Ideas to improve this metric Analyse task flows for efficiency Reduce unnecessary steps Provide shortcuts for frequent actions Test design with diverse user groups Enhance layout clarity and intuitiveness 4. Design Consistency Score Evaluates how consistently the design elements are applied across the interface.
What good looks like for this metric: 90% consistency level
Ideas to improve this metric Establish design guidelines Conduct regular design audits Use style guides and templates Train team on design standards Promote a culture of consistency 5. Feedback Implementation Rate Ratio of user feedback items successfully implemented into design improvements.
What good looks like for this metric: 70% implementation rate
Ideas to improve this metric Track all user feedback Prioritise feedback based on impact Implement feedback in agile cycles Engage users for feedback validation Communicate feedback impacts to users
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1. GPA The grade point average (GPA) measures academic performance by averaging the grades received in all courses
What good looks like for this metric: A typical benchmark would be a GPA of 3.0 or above on a 4.0 scale
Ideas to improve this metric Create a study schedule Join study groups Seek feedback from professors Utilise campus resources like tutoring Stay organised with assignments 2. Course Completion Rate The percentage of courses successfully completed out of those enrolled
What good looks like for this metric: Aim to complete at least 90% of enrolled courses
Ideas to improve this metric Plan your course load effectively Drop courses only if necessary Use a planner to keep track of deadlines Seek help early for difficult courses Regularly review your academic plan 3. Attendance Rate The percentage of classes attended compared to the total number required
What good looks like for this metric: Maintain an attendance rate of 90% or higher
Ideas to improve this metric Set alarms to avoid missing classes Prioritise class attendance Schedule classes at convenient times Inform instructors of unavoidable absences Participate in class to stay engaged 4. Skill Development The acquisition of key skills related to the BBA curriculum, including communication, teamwork, and analytical skills
What good looks like for this metric: Significant improvement in communication and analytical skills over the course of study
Ideas to improve this metric Attend workshops and seminars Engage in extracurricular activities Take on internship opportunities Request feedback on skills Practise skills in real-world scenarios 5. Extracurricular Involvement Participation in clubs, organisations, and activities outside of academic coursework
What good looks like for this metric: Participate in at least two significant extracurricular activities
Ideas to improve this metric Join clubs related to business Volunteer for leadership roles Attend networking events Balance activities with academics Seek diverse involvement opportunities
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1. Usability Test Success Rate The percentage of tasks successfully completed by users during usability testing
What good looks like for this metric: 80-90% success rate
Ideas to improve this metric Conduct more user interviews Improve task clarity Ensure intuitive navigation Simplify user interactions Enhance feedback mechanisms 2. Time on Task The average time a user takes to complete a specific task during testing
What good looks like for this metric: 2-5 minutes per task
Ideas to improve this metric Streamline user flows Minimize unnecessary steps Use clear, concise instructions Reduce input fields Enhance system responsiveness 3. Error Rate The average number of errors users encounter while performing tasks during testing
What good looks like for this metric: Less than 5% error rate
Ideas to improve this metric Improve error messaging Test for common user mistakes Simplify complex interactions Increase user guidance Utilize clear affordances 4. User Satisfaction Score Numerical rating given by users based on their satisfaction with the interface
What good looks like for this metric: 7 or higher on a 10-point scale
Ideas to improve this metric Incorporate user feedback Create an aesthetically pleasing design Reduce cognitive load Increase accessibility options Ensure consistent design elements 5. Prototype Iteration Count The number of iterations a prototype undergoes before reaching a final design
What good looks like for this metric: 3-5 iterations
Ideas to improve this metric Gather diverse feedback early Prioritise the most critical design issues Utilise rapid prototyping tools Test with varied user groups Focus on one major change per iteration
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1. Page Load Time The time it takes for a web page to fully load from the moment the user requests it
What good looks like for this metric: 2 to 3 seconds
Ideas to improve this metric Optimise images and use proper formats Minimise CSS and JavaScript files Enable browser caching Use Content Delivery Networks (CDNs) Reduce server response time 2. Time to First Byte (TTFB) The time it takes for the user's browser to receive the first byte of page content from the server
What good looks like for this metric: Less than 200 milliseconds
Ideas to improve this metric Use faster hosting Optimise server configurations Use a CDN Minimise server workloads with caching Reduce DNS lookup times 3. First Contentful Paint (FCP) The time from when the page starts loading to when any part of the page's content is rendered on the screen
What good looks like for this metric: Less than 1.8 seconds
Ideas to improve this metric Defer non-critical JavaScript Reduce the size of render-blocking resources Prioritise visible content Optimise fonts and text rendering Minimise main-thread work 4. JavaScript Error Rate The percentage of user sessions that encounter JavaScript errors on the site
What good looks like for this metric: Less than 1%
Ideas to improve this metric Thoroughly test code before deployment Use error tracking tools Handle exceptions properly in the code Keep third-party scripts updated Perform regular code reviews 5. User Satisfaction (Apdex) Score A metric that measures user satisfaction based on response times, calculated as the ratio of satisfactory response times to total response times
What good looks like for this metric: 0.8 or higher
Ideas to improve this metric Monitor and analyse performance regularly Focus on optimising high-traffic pages Implement user feedback mechanisms Ensure responsive design principles are followed Prioritise backend performance improvement
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1. Deployment Frequency Measures how often new updates are deployed to production
What good looks like for this metric: Once per week
Ideas to improve this metric Automate deployment processes Implement continuous integration Use feature toggles Practice trunk-based development Reduce batch sizes 2. Lead Time for Changes Time taken from code commit to deployment in production
What good looks like for this metric: One day to one week
Ideas to improve this metric Improve code review process Minimise work in progress Optimise build processes Automate testing pipelines Implement parallel builds 3. Mean Time to Recovery Time taken to recover from production failures
What good looks like for this metric: Less than one hour
Ideas to improve this metric Implement robust monitoring tools Create a clear incident response plan Use canary releases Conduct regular disaster recovery drills Enhance rollback procedures 4. Change Failure Rate Percentage of changes that result in production failures
What good looks like for this metric: Less than 15%
Ideas to improve this metric Increase test coverage Perform thorough code reviews Conduct root cause analysis Use static code analysis tools Implement infrastructure as code 5. Cycle Time Time to complete one development cycle from start to finish
What good looks like for this metric: Two weeks
Ideas to improve this metric Adopt agile methodologies Limit work in progress Use time-boxed sprints Continuously prioritise tasks Improve collaboration among teams
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1. Response Time The time taken for a system to respond to a request, typically measured in milliseconds.
What good looks like for this metric: 100-200 ms
Ideas to improve this metric Optimise database queries Use efficient algorithms Implement caching strategies Scale infrastructure Minimise network latency 2. Error Rate The percentage of requests that result in errors, such as 4xx or 5xx HTTP status codes.
What good looks like for this metric: Less than 1%
Ideas to improve this metric Improve input validation Conduct thorough testing Use error monitoring tools Implement robust exception handling Optimize API endpoints 3. Request Per Second (RPS) The number of requests the server can handle per second.
What good looks like for this metric: 1000-5000 RPS
Ideas to improve this metric Use load balancing Optimise server performance Increase concurrency Implement rate limiting Scale vertically and horizontally 4. CPU Utilisation The percentage of CPU resources used by the backend server.
What good looks like for this metric: 50-70%
Ideas to improve this metric Profile and optimise code Distribute workloads evenly Scale infrastructure Use efficient data structures Reduce computational complexity 5. Memory Usage The amount of memory consumed by the backend server.
What good looks like for this metric: Less than 85% of total memory
Ideas to improve this metric Identify and fix memory leaks Optimise data storage Use garbage collection Implement memory caching Scale infrastructure
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1. Number of Backlinks The total number of backlinks pointing to your website
What good looks like for this metric: Varies widely by industry; typically 50-200 backlinks for small to mid-sized sites
Ideas to improve this metric Create high-quality, shareable content Reach out to industry influencers Guest post on relevant blogs Use broken link building strategies Engage in PR activities 2. Domain Authority (DA) A search engine ranking score that predicts how well a website will rank on SERPs
What good looks like for this metric: Typically above 40 for competitive industries
Ideas to improve this metric Improve your website’s SEO Acquire high-quality backlinks Remove toxic backlinks Regularly update your content Optimise for on-page SEO 3. Referral Traffic The amount of traffic your website receives from external sources
What good looks like for this metric: 15-30% of total traffic
Ideas to improve this metric Build relationships with authoritative sites Promote content on social media Engage in online communities and forums Publish content on third-party platforms Use analytics to track and optimise sources 4. Anchor Text Distribution The diversity and relevance of anchor text used in backlinks pointing to your website
What good looks like for this metric: Balanced ratio between branded, exact-match, and generic anchors
Ideas to improve this metric Use natural and varied anchor texts Avoid over-optimisation of anchor texts Monitor and adjust anchor text ratios Analyse competitors' anchor text profiles Create guidelines for anchor text usage 5. Linking Root Domains The number of unique domains that link back to your website
What good looks like for this metric: More than 100 for medium to large sites
Ideas to improve this metric Target diverse websites for backlinks Engage in collaborations with different domains Regularly audit backlink profiles Build micro-sites for link building Participate in industry events and networks
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Tracking your Performance 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.
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:
Tability's check-ins will save you hours and increase transparency
The best metrics for Assessing UX Designer Performance