Designing experiments in data science is a meticulous process that requires careful planning, execution, and interpretation. Reliable results are the backbone of data-driven decision-making, and ensuring their integrity should be a top priority for any data scientist. By following the steps outlined in this article, you can design experiments that provide results you can trust.