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Defect Detection metrics and KPIs

What are Defect Detection metrics?

Crafting the perfect Defect Detection metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

Find Defect Detection 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 Defect Detection metrics and KPIs

Metrics for Quality Assurance Team Effectiveness

  • 1. Defect Detection Rate

    The percentage of defects found by the QA team compared to the total defects found post-development

    What good looks like for this metric: 80% or higher

    Ideas to improve this metric
    • Increase test coverage
    • Enhance tester training programmes
    • Implement automated testing tools
    • Conduct regular code reviews
    • Encourage collaboration between developers and testers

  • 2. Time to Detected Defects Fix

    Average time it takes to fix defects once they are detected

    What good looks like for this metric: 24 to 48 hours

    Ideas to improve this metric
    • Prioritise defect fixing in sprint planning
    • Improve communication between QA and developers
    • Automate regression testing
    • Use defect tracking tools
    • Provide comprehensive defect reports

  • 3. Test Coverage

    Percentage of code or functionalities tested by the QA team

    What good looks like for this metric: 95% or higher

    Ideas to improve this metric
    • Automate repeated test cases
    • Perform regular gap analysis
    • Involve QA early in the development process
    • Invest in robust testing tools
    • Schedule frequent test plan reviews

  • 4. Technical Debt Identified

    Amount of potential rework or improvements identified that could prevent future defects

    What good looks like for this metric: Issue-free code

    Ideas to improve this metric
    • Regularly refactor code
    • Use static code analysis tools
    • Document known tech debt
    • Incorporate tech debt discussion in retrospectives
    • Allocate time for tech debt resolution

  • 5. Customer-reported Defects

    Number of defects reported by customers after release compared to defects found internally

    What good looks like for this metric: Less than 10% of total defects

    Ideas to improve this metric
    • Conduct thorough user acceptance testing
    • Enhance early-stage testing processes
    • Foster a customer feedback loop
    • Strengthen pre-release testing cycles
    • Improve real-time monitoring post-release
defect-detectiontest-coveragequality-assurance-testersoftware-developerquality-assurance-teamdevelopment-team
Implement these metrics

Tracking your Defect Detection 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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