Understanding the difference between causation and correlation is crucial for startups looking to optimize their processes. When launching new features, relying solely on pre-post analysis can lead to misleading conclusions. Instead, implementing structured experiments allows for clearer insights into what truly drives changes in performance, much like determining whether sunshine actually affects sales.
