Designing Choice Architecture to Mitigate Selection Bias in Consumer Data Sharing

Choice architecture is widely used to nudge consumers into sharing data in consent-based data exchanges. We present experiment evidence from Lin and Strulov-Shlain [2023] demonstrating that conventional choice architecture design could lead to biases in sample data. We illustrate how the tension between maximizing data volume and minimizing data bias depends on both supply and demand factors. We also highlight the need for organizations to consider both the volume and representativeness of sample data when optimizing their choice architecture for data collection.