Causation vs. Correlation
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.In this clip
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The Startup Podcast
Edu: Product Experiments - Revealing The Science Behind Successful Apps
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