Making good choices and wise decisions requires to factor in valid external evidence. But which available data-bases are relevant, how can we make sense of the data, and what are the lessons we can learn from it? As a scientist and educator, I committed myself to finding answers to these questions for a variety of economic and societal problems. My experience has taught me that randomized control trials (or A-B testing) constitute a powerful tool to identify practices capable of improving relevant outcomes. With the right analytical skills and knowledge of the behavioral sciences, randomized control trials deliver the ideal database to design scalable, low-cost solutions for private and public enterprises alike.