You are tasked with developing a machine learning model to predict customer churn for a telecommunications company. The dataset includes customer demographics, service usage, and complaint history. The company emphasizes the importance of model interpretability to understand the factors influencing churn. Given these constraints, which step in the machine learning workflow is most critical for ensuring the selection of appropriate algorithms and techniques that align with the business's need for interpretability? Choose the best option.