Bing analyzes Petabytes of data per day. Facebook instruments everything. Outlook.com analyzes web performance for millions of real users. Why? Because testing is measurement, and measurement requires data.
Testers have traditionally relied on test results, but additional data sources now available to the tester are expanding like never before. Data-Driven Quality (DDQ) strategies such as Testing in Production (TiP) are essential tools for most testers, but the question is how do you implement these strategies to benefit your specific product? If you are seeking this answer, Seth and Monica will show you how to move forward. The data you will need can be big or small, real-time or delayed, synthetic or organic. So it is critical that you know what questions you need to answer and what data you need to answer them. With this workshop, you will learn the tools and knowledge necessary to get insights from this data and then get hands-on experience applying this knowledge. We will take you through the critical thinking and framing to understand how data-driven quality can benefit your product and team. We will then enable you to create a roadmap for how you can implement your data-driven quality strategy for your product to take your testing to the next level. This session is for quality team leaders, thought leaders, and individuals who want to educate their leadership on DDQ.