Reducing Model Bias

Building effective data products requires understanding the needs of data scientists who often face busywork that distracts from their core tasks. By asking the right questions and identifying underlying issues, designers can help streamline processes and reduce bias in models. The key lies in uncovering the real pain points, like financial losses, to drive meaningful improvements.