AbstractMetrics-based Voting is an emerging class of governance mechanisms that integrates quantitative data with voter preferences to support collective decision-making. In this article, we explore the design space of such systems, with a focus on how metric scores—whether retrospectively measured or predictively generated—can be combined with expressed preferences to allocate resources. Drawing on recent experiments in the crypto sector, we examine key design choices, including the selectio...