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Rapid learning methods aim to expedite program improvement and enhance program effectiveness. They use data to test implementation and improvement efforts in as close to real-time as possible. Many rapid learning methods leverage iterative cycles of learning, in which evaluators and implementers (and sometimes funders/policymakers) discuss findings, interpret them, and make adaptations to practice and measurement together. These methods can support data-driven decision-making in practice, in the spirit of ongoing improvement.

On October 25 and 26, 2018, OPRE brought together a diverse group of participants from Federal agencies, research firms, academia, and other organizations for a meeting titled, Rapid Learning Methods for Testing and Evaluating Change in Social Programs . This brief is based on a presentation at the meeting.