"`` As a non-technical data owner, it's essential to ask yourself what you want from your data discovery process, ensuring that the analysis outcome aligns with your business goals. You should consider questions like "What does a successful analysis outcome look like?" and "Is my data reporting the right things?" to identify potential biases and areas for improvement. Additionally, think about whether there are obvious sources of bias in your data and how you can enrich the discovery process with outside sources. By asking yourself these questions, you'll be able to provide valuable framing for your data scientists' discovery process, leading to more accurate insights and better business decisions.