When a small tenant-rights organization in Chicago applied for a foundation grant last year, the staff spent three weeks compiling their impact report. They counted hotline calls. They tracked “housing units stabilized.” They built a dashboard. What they could not count—and what the founder could not measure—was the moment a formerly undocumented woman finally trusted them enough to call after 18 months of silence. They did not get the grant.

This is not an isolated story. Research on nonprofit funding and evaluation has documented how smaller organizations can struggle with the demands of funder reporting. The Center for High Impact Philanthropy at the University of Pennsylvania notes that smaller nonprofits often have limited capacity for data collection and management, and that reporting different measures to multiple funders can waste resources and distract organizations from their missions.

Across the American nonprofit sector, a quiet shift has been underway for more than a decade. Foundations and philanthropic institutions increasingly require quantified evidence of success: dashboards, key performance indicators, third-party evaluations, data management systems, and sophisticated reporting infrastructure. These demands are framed as transparency, accountability, and evidence-based practice. In reality, they are restructuring the funding landscape in ways that systematically disadvantage the smallest and most community-rooted organizations, the ones that often do the most transformative work.

The result is what we might call the nonprofit data trap: a self-reinforcing cycle in which the organizations best positioned to secure funding are those with the staff capacity, technical infrastructure, and institutional fluency to translate grassroots work into funder-legible outputs, while community-based organizations without these resources are quietly screened out. The trap is not intentional. But it is structural. And it is deepening.

The Rise of Metrics Culture in Philanthropy

The demand for quantifiable impact did not emerge from nowhere. It has roots in the philanthropic reform movements of the late 1990s and early 2000s, when a generation of tech-sector donors, flush with new wealth and enamored with the efficiency logic of Silicon Valley, began applying return-on-investment frameworks to charitable giving. The movement went by names such as venture philanthropy, effective altruism, strategic philanthropy. Its core premise was that rigorous measurement would separate programs that “worked” from those that did not, and that funding should flow accordingly.

Read the full article about the nonprofit data trap by Ebru Akgün at Nonprofit Quarterly.