Debunking the QA KPI Myths and Make KPI Great Again
When it comes to software quality, data and metrics are essential for making informed decisions. However, not all KPI metrics are created equal. In fact, many common KPI metrics can become myths that do more harm than good. In this tutorial, Lisette draws on her experience to debunk the QA KPI myths and share practical strategies for making KPI metrics great again. She will discuss how to determine the purpose of QA KPIs for your organization's needs and how to adapt KPI metrics to your organization's culture—exploring practical QA KPI metrics that bring value to everyone in the organization. Finally, Lisette will define strategies for defining QA KPI metrics for the QA team only and for your product quality health. By the end of this tutorial, you'll clearly understand how to avoid common QA KPI myths and develop effective KPI metrics that drive continuous improvement and product success. So take advantage of this opportunity to elevate your QA KPI game and confidently make data-driven decisions!
Lisette Zounon is an accomplished tech executive, serial entrepreneur, and quality engineering leader with two decades of experience helping people and companies improve the quality of their applications with solid tools, a simple process, and a smart team. She firmly believes that industry best practices, including implementing agile methodologies, DevOps practices, and leveraging Artificial Intelligence are invaluable to the success of any software delivery. Lisette was responsible for leading and managing high-performing quality and DevOps teams throughout all phases of the software development testing cycle; ensuring that all information systems, products, and services meet or exceed organization and industry quality standards as well as end-users requirements. She is a constant champion of advocating for best practices in QA and the transformative use of AI to reimagine DevOps efficiency and client satisfaction. Lisette has worked extensively with Fortune 100 technology companies, startups, and not-for-profits in the e-commerce, cloud services, telecommunications, finance, IoT, AI, and Robotics industries.