The case for warehouse-based product analytics

This post details the implementation and benefits of warehouse-based product analytics, contrasting it with event-based tools. It introduces a framework for evaluating feature success (adoption, retention, satisfaction) and explains how warehouse-centric approaches enable richer analysis by allowing data enrichment and the integration of diverse data sources like survey data and customer support tickets. It highlights the use of input parameters and parameterized SQL within Hex for creating extensible feature success dashboards and emphasizes the importance of reliable feature adoption measurement.