Key Metrics To Track The Progress Of Your QA Transformation

You hosted a grand dinner party with elite guests. You created a recipe plan and followed the recipe checklist to the dot. But how do you know if the party was a success or not?

On the same lines, you built a QA Transformation Roadmap and followed the QA Transformation – Checklist Essentials. 

But, how do you measure the success of your application and its QA transformation?

Key Benefits of Measuring Metrics

What is the purpose of your project’s QA transformation? Is it to reduce defect leakage, improve time-to-market, enhance collaboration with development, or implement test automation? Measuring success involves gathering insights and feedback from stakeholders and making data-driven decisions. 

Once you have established clear, measurable goals, it will help you track realistic improvement targets.

Measuring the Key Metrics of Your QA Transformational Journey

Measuring the key metrics of your QA transformational journey will help you to understand the effectiveness of the transformation and optimize processes. The insights will help you drive continuous improvements. 

Test Coverage and Automation Coverage

Test coverage gives you the percentage of code or functionality covered by testing. And automated testing tools can generate and execute a wide range of test cases. High test automation coverage speeds up regression testing, improves test accuracy, and frees the team to focus on more strategic tasks. 

How to Measure:

Test Coverage = (Executed Units / Total Testable Units) * 100

Test Automation Coverage = (Number of Automated Test Cases / Total Test Cases) * 100

For more details, refer To Automate or not to Automate.

Test Execution Time

Faster test execution allows for quicker iterations in the development process and more frequent releases without compromising quality. Using automation and tools like AI Defect predictor, you can have rapid test execution.

How to Measure:

Track the time taken to run the test suites across different builds.

Monitor the time taken to run various test suites across different builds. For example, you can achieve a full regression test and get results within 24 hours. Services like Webomates will empower you to get results for module-level changes within 8 hours, and for testing module based sub-set of test cases, you can get results within 15 minutes to 1 hour. 

Feature Velocity

Feature velocity gives an indication of how fast a team is delivering new features to production. Most teams using agile approaches leverage story points to measure the team’s current deliveries to the expected deliveries.  

How to Measure:

Feature Velocity = Number of Delivered Features​ / Time Period (weeks, sprints, months, etc.)

Once you establish a consistent feature velocity, you can use it to forecast your team’s future deliveries. For example, if your feature velocity is 2 features per week, you can estimate that it will take approximately 5 weeks to complete 10 new features. 

Customer Satisfaction Score (CSAT)

User experience and satisfaction has always been the backbone of an organizations’ brand value and will always take the highest priority. CSAT measures the customer’s satisfaction with product quality and usability.

How to Measure:

Conduct CSAT surveys post-release and track the score over time. 

Example CSAT Question: “On a scale of 1-5, how satisfied are you with our product?”

CSAT Score = ( Number of Satisfied Customers (4 and 5 ratings) / Total Number of Responses​) x 100

You can calculate the average CSAT score, analyze the responses, and gain valuable insights into customer satisfaction and areas for improvement.

Net Promoter Score (NPS)

NPS helps you measure how likely customers are to recommend your product/service. High NPS scores reflect improved product quality, reliability, and user satisfaction, showing that your QA transformation has a positive impact on the end-user experience.

How to Measure:

Conduct NPS surveys post-release and track the score over time.

Example NPS Question: “On a scale of 0 to 10, how likely are you to recommend our product/service to a friend or colleague?”

Group responses into three categories: 

• Detractors: 0–6 
• Passives: 7–8 
• Promoters: 9–10

NPS = % promoters – % detractors.

You can reach out to the detractors to understand their concerns and improve product quality.

Defect Density

It measures the number of defects identified per size of the codebase/lines of code. 

You can calculate defect density for different modules or components to identify modules with higher defects. 

How to Measure:

Defect Density = Defect count / Size of the release divided by module.

The lower the defect density, the better the quality of the code. Knowing the modules with the most defects allows QA teams to prioritize testing in such modules and improve their test coverage, making their testing efforts more efficient.

Release Quality 

Customer-reported defects found in production affect the overall quality of the release. You need the ability to resolve high-risk issues before users ever encounter them. Also, fixing a defect during the design or development phase is much cheaper than fixing it after release.

How to Measure:

Release Quality = (Number of Defects Found in Production / Total Number of Defects) * 100

Intelligent Test Automation allows development and testing teams to resolve defects faster. Shift Left testing provides an effective means to perform testing in parallel to development processes. You can also save enormous amounts of time in diagnosing and Defect Triaging 

ROI of Test Automation

ROI weighs the costs involved in implementing and maintaining automated tests against the benefits gained from improved testing efficiency and quality. You can calculate the time saved through automation in test execution, test case creation, and regression testing.

How to Measure:

ROI = (Benefits – Costs) / Costs * 100%

Not only does automation improve testing efficiency, but it also frees up valuable resources for more strategic and creative tasks. 

How Can Webomates Help You?

Webomates is a comprehensive end-to-end automation testing solution augmented with AI capabilities. 

THE GOAL? To significantly enhance your testing efforts along with the overall product quality.

THE APPROACH? Adopting these principles can result in better quality, faster time-to-market, cost savings, and higher efficiency for your applications. 

• Cloud-based Testing: You can also use cloud-based testing to dynamically scale resources up or down, as per the project’s requirements.
• GenAI – Use Generative AI for test case generation, code completion, test data generation, code optimization, defect identification, and documentation. 
• AIHealing® – Resolve any failures in regression tests quickly with the help of automated creation and execution of test data, test cases, and test scripts along with runtime Self-healing capability. 

THE RESULTS? Numbers speak for themselves! Partner with Webomates to get maximum ROI. 

• Rackspace experienced a 96% decrease in customer-discovered defects and an 11x increase in feature velocity. 
• Talage achieved a 67% reduction in testing efforts and QA costs, along with an 80% reduction in production defects.
• Equifax saw a remarkable 20x increase in test efficiency.

Achieve speed and agility through the ability to test in shorter periods and deliver new releases quicker. 

If you are interested in learning more about Webomates CQ service please click here and schedule a demo, or reach out to us at info@webomates.com.

Tags: QA Testing, QA Transformation, QA Transformation Checklist, Quality Assurance, Regression Testing, Software Testing, Test Automation