Assessing the Causal Relationship Between Product Features and Customer Retention

First, to clarify the question, we are looking to design a study that identifies how varying product features influence the likelihood of customers staying with the product over time. It's essential to note that we are interested in a longitudinal study, which means we track changes over a specific period rather than a cross-sectional analysis at a single point in time. My approach would involve a blend of experimental and observational methods. Ideally, running a randomized controlled trial (RCT) would be the gold standard to establish causality. We could randomly assign different product feature sets to new users and analyze their impact on retention. However, RCTs are not always feasible due to practical constraints, such as product complexity and user experience consistency...