You are leading a project to develop a machine learning model to predict customer churn for a telecommunications company. The project involves collecting data, training the model, evaluating its performance, and deploying it to make predictions. During the data collection stage, which of the following steps should be prioritized to ensure the model is accurate and avoids bias?