Building Data-Driven Research Impact Metrics: A Product Management Perspective

This article examines the strategic development and implementation of data-driven research impact metrics from a product management perspective. It presents a comprehensive framework for understanding how digital funding platforms can effectively measure scholarly influence across multiple dimensions while balancing technical feasibility and stakeholder needs. The article explores the theoretical foundations of impact assessment through the "Impact Pyramid" model, discusses challenges in data integration from heterogeneous sources, outlines approaches to metric selection based on user-centered design principles, and provides guidance on implementation strategies through different platform maturity stages. By addressing both the technical complexities and user experience considerations, this article offers practical insights for platform developers and administrators seeking to enhance their impact assessment capabilities while maintaining stakeholder engagement and satisfaction. The article draws on empirical research across numerous digital platforms to identify best practices and emerging trends that will shape the future evolution of research impact measurement.