Identifying the optimal Testing 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.
You can copy these examples into your preferred app, or alternatively, use Tability to stay accountable.
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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.
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
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's check-ins will save you hours and increase transparency
The best metrics for Work Performance Evaluation