A/B-tests and Data-Driven Decision Making
Suppose somebody makes a change to your product and clients react negatively. Definitely, this is not the situation you want. That is why companies incorporate data-driven decision-making methodologies into their workflows.
For example, A/B-testing is the class of algorithms to make decisions with a high probability of being correct. But more generally, it is the process to take an appropriate math model and apply it to your business and receive valid and actionable conclusions about what to do.