Internet Explorer 11 is not supported

For optimal browsing, we recommend Chrome, Firefox or Safari browsers.
Andrew Feldman

Andrew Feldman

Contributor

Andrew Feldman is the founder and principal consultant at the Center for Results-Focused Leadership, LLC. His work focuses on helping public-sector organizations use evidence, data and innovation to better achieve their missions. He also hosts the Gov Innovator podcast, with more than 200 interviews for results-focused leaders.

Feldman's prior positions include director in the public-sector practice at Grant Thornton, visiting fellow at the Center for Children and Families at the Brookings Institution, special adviser for evidence-based policy at the U.S. Department of Education, special adviser on the Evidence Team at the White House Office of Management and Budget in the Obama administration, one of the top three appointed leaders at Wisconsin’s labor department, senior policy adviser in the Office of Wisconsin Gov. Jim Doyle and staff economist at the White House Council of Economic Advisers in the Clinton administration.

Feldman earned his undergraduate degree in economics from Swarthmore College and his master's degree and Ph.D. in public policy from Harvard University. He is a fellow of the National Academy of Public Administration. He can be reached at andrew.feldman@centerforresults.org.

A New Mexico legislative committee is believed to be the first to try the management approach in a lawmaking context. It’s an effort that bears watching, and some lessons are being learned.
It's a way to measure progress toward building and strengthening a culture of learning and improvement.
Building on decades of experience, public leaders are finding new ways to tap the power of this powerful, evolving form of data-driven management.
There are many effective approaches for improving results and efficiency. It's essential to have buy-in from the top.
It's a way for states to support local approaches that are feasible, effective and budget-friendly.
Successful efforts to bring the use of data and research into decision-making are both top-down and bottom-up.