What are Coverage metrics? Finding the right Coverage metrics can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.
Copy these examples into your preferred tool, or adopt Tability to ensure you remain accountable.
Find Coverage 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 Coverage metrics and KPIs 1. Coverage Area Percentage The proportion of geographic areas covered by a product or service compared to the total available areas nationwide
What good looks like for this metric: 80% coverage is typical for national brands
Ideas to improve this metric Expand coverage to underserved areas Collaborate with local distributors Invest in infrastructure enhancements Analyse competitor coverage Leverage digital platforms for broader reach 2. Average Pricing The typical price of a product or service across different regions, considering regional economic differences
What good looks like for this metric: Maintain within 10% of the industry average
Ideas to improve this metric Conduct market research to determine optimal pricing Adjust pricing based on regional demand Implement dynamic pricing strategies Offer value-added services to justify price points Monitor competitor pricing regularly 3. Customer Satisfaction Index A measure of how satisfied customers are with the coverage and pricing of a product or service
What good looks like for this metric: Aim for a satisfaction score of 80 or above
Ideas to improve this metric Improve customer support services Gather regular feedback for product improvement Ensure pricing transparency Enhance user experience across all touchpoints Personalise customer interactions 4. Market Penetration Rate The percentage of the target market that has purchased a product nationwide
What good looks like for this metric: 25% penetration is a common benchmark for established products
Ideas to improve this metric Increase marketing efforts in low-penetration areas Run promotional campaigns to boost adoption Expand product offerings to meet diverse needs Utilise online platforms for wider reach Enhance brand visibility through partnerships 5. Revenue Growth Rate The annualised percentage increase in revenue attributed to improved coverage and pricing strategies
What good looks like for this metric: 5-10% annual growth is generally considered healthy
Ideas to improve this metric Optimise pricing for higher value offerings Enhance sales channels to boost revenue Introduce new products to capture more market share Expand into new geographic markets Improve customer retention strategies
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1. Test Coverage Measures the percentage of the codebase tested by automated tests, calculated as (number of lines or code paths tested / total lines or code paths) * 100
What good looks like for this metric: 70%-90% for well-tested code
Ideas to improve this metric Increase automation in testing Refactor complex code to simplify testing Utilise test-driven development Regularly update and review test cases Incorporate pair programming 2. Defect Density Calculates the number of confirmed defects divided by the size of the software entity being measured, typically measured as defects per thousand lines of code
What good looks like for this metric: Less than 1 bug per 1,000 lines
Ideas to improve this metric Conduct thorough code reviews Implement static code analysis Improve developer training Use standard coding practices Perform regular software audits 3. Test Execution Time The duration taken to execute all test cases, calculated by summing up the time taken for all tests
What good looks like for this metric: Shorter is better; aim for less than 30 minutes
Ideas to improve this metric Optimise test scripts Use parallel testing Remove redundant tests Upgrade testing tools or infrastructure Automate test environment setup 4. Code Churn Rate Measures the amount of code change within a given period, calculated as the number of lines of code added, modified, or deleted
What good looks like for this metric: 5%-10% considered manageable
Ideas to improve this metric Emphasise on quality over quantity in changes Increase peer code reviews Ensure clear and precise project scopes Monitor team workload to avoid burnout Provide comprehensive documentation 5. User Reported Defects Counts the number of defects reported by users post-release, provides insights into the software's real-world performance
What good looks like for this metric: Strive for zero, but less than 5% of total defects
Ideas to improve this metric Enhance pre-release testing Gather detailed user feedback Offer user training and resources Implement beta testing Regularly update with patches and fixes
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1. Defect Density Defect density measures the number of defects found per size of the module or product, typically per thousand lines of code.
What good looks like for this metric: 0.5 to 1.0 defects per 1,000 lines of code
Ideas to improve this metric Improve code review processes Invest in training for the QA team Enhance documentation and coding standards Implement automated testing tools Focus on early detection during development 2. Test Case Effectiveness Test case effectiveness measures the percentage of test cases that result in the discovery of defects.
What good looks like for this metric: 70% to 90%
Ideas to improve this metric Regularly update test cases based on past defects Incorporate exploratory testing techniques Enhance collaboration between QA and development teams Use risk-based testing strategies Implement comprehensive test case reviews 3. Test Coverage Test coverage is the percentage of covered functionalities or code lines during the testing process.
What good looks like for this metric: 70% to 80%
Ideas to improve this metric Increase automated test coverage Regularly assess test suite effectiveness Identify gaps in existing test cases Refactor tests to cover untested areas Adopt code coverage analysis tools 4. Defect Resolution Time Defect resolution time tracks the average time taken to fix a reported defect and retest it.
What good looks like for this metric: 1 to 7 days
Ideas to improve this metric Prioritise defects based on severity and impact Streamline communication between QA and development teams Foster a proactive defect management approach Implement a robust defect tracking tool Provide clear instructions in defect reports 5. Customer Reported Defects Customer reported defects measure the number of defects found by customers after release.
What good looks like for this metric: 0.2% to 1% of total defects
Ideas to improve this metric Conduct thorough user acceptance testing Involve customer feedback in the testing process Implement rigorous pre-release testing Regularly update the testing approach with customer insights Establish a continuous feedback loop with end-users
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1. defect density Defect density measures the number of defects per unit of software size, usually per thousand lines of code (KLOC)
What good looks like for this metric: 1-5 defects per KLOC
Ideas to improve this metric Improve code reviews Implement automated testing Enhance developer training Increase test coverage Use static code analysis 2. code coverage Code coverage measures the percentage of code that is executed by automated tests
What good looks like for this metric: 70-80%
Ideas to improve this metric Write more unit tests Implement integration testing Use better testing tools Collaborate closely with QA team Regularly refactor code for testability 3. mean time to resolve (MTTR) MTTR measures the average time taken to resolve a defect once it has been identified
What good looks like for this metric: Less than 8 hours
Ideas to improve this metric Streamline incident management process Automate triage tasks Improve defect prioritization Enhance developer expertise Implement rapid feedback loops 4. customer-reported defects This metric counts the number of defects reported by end users or customers
What good looks like for this metric: Less than 1 defect per month
Ideas to improve this metric Implement thorough user acceptance testing Conduct regular beta tests Enhance support and issue tracking Improve customer feedback channels Use user personas in development 5. code churn Code churn measures the amount of code changes over a period of time, indicating stability and code quality
What good looks like for this metric: 10-20%
Ideas to improve this metric Encourage smaller, iterative changes Implement continuous integration Use version control effectively Conduct regular code reviews Enhance change management processes
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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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Tracking your Coverage 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.
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