Feature Adoption Investigator

 Build a feature adoption investigator that analyzes imported product-event data to explain how customers discover, try, repeatedly use, or abandon individual features. Create adoption funnels, cohort comparisons, time-to-first-use analysis, feature combinations, and user journey visualizations. Identify where engagement drops and which customer segments behave differently. Allow product managers to investigate possible explanations and compare them against available evidence. Distinguish correlation from causation, disclose data limitations, and recommend measurable follow-up experiments rather than claiming to know why users behave a certain way.