This project highlighted how critical it is to design for two distinct but overlapping user groups. Engineers required speed and simplicity, while data scientists demanded flexibility and control. Creating a platform that satisfied both required careful prioritisation of features and continuous validation through prototyping. A key learning was the value of embedding trust-building mechanisms like metadata validation into the workflow, not only improving data quality but also user confidence. If expanded further, I would explore integrating predictive analytics to surface insights proactively, before issues emerge.