Explore the world of data-driven decision-making in software development through this insightful conference talk. Delve into AB-testing methodologies, learn to create and implement effective tests within your codebase, and discover how to determine the significance of changes. Examine the balance between qualitative user testing and data-driven approaches, and understand their roles in your AB-testing strategy. Investigate potential pitfalls of data-driven development, including inaccurate data, and learn strategies for validating information to ensure confident decision-making. Gain practical knowledge on topics such as randomness, biases, KPIs, user journeys, and statistical analysis. Explore tools like Optimizely and Google Analytics for implementing and tracking tests. Discover techniques for avoiding common mistakes, such as focusing on wrong metrics or misinterpreting data. Learn how to quantify subjective elements, remain context-aware, and cultivate curiosity in your development process. By the end of this talk, you'll be equipped with valuable insights to enhance your software development approach and make more informed, data-backed decisions. Read more