Faced with a scenario where an API needs to handle diverse user data inputs, what strategy in data-driven testing would you prioritize?

In data-driven testing, parameterization is crucial for handling diverse input values. It allows for a comprehensive coverage of scenarios, ensuring the API can handle a wide range of user data inputs. Randomly selecting test data may not provide systematic coverage, and prioritizing positive test cases alone might miss potential issues with negative scenarios. Unit testing is essential but doesn't address the need for handling diverse user inputs in the API.