Review the reporting document comprehensively, including all tables, visualizations, filters, custom R and JavaScript variables, and other outputs, and identify unused variable sets. Compile a list of these unused sets for the customer to use in their Data Preparation Document. This approach will minimize redundancy and enhance performance. Consider leveraging AI scripting within Displayr to automate these processes dynamically. Implementing this could save customers time, boost document performance, and showcase Displayr's ability to enhance workflow efficiency proactively. It's an effective solution for a common issue and one I believe customers will appreciate.