Measuring Performance Improvement in Monitoring, Evaluation, Research, and Learning (MERL)

Measuring Performance Improvement in Monitoring, Evaluation, Research, and Learning (MERL)
Citation: Liz Millar, Tory Taylor. (2024). A Guide to Planning for and Measuring Improved Performance Resulting from Capacity Strengthening Investments in MERL. Chapel Hill, NC, USA: Data for Impact.
Abstract: Data for Impact (D4I) is a global monitoring, evaluation, research, and learning (MERL) project working to support data generation and use for more effective, equitable, and sustainable health programming. Capacity strengthening is critical to this approach. This guide draws from the experience of D4I and predecessor MEASURE Evaluation, USAID’s Local Capacity Strengthening (LCS) Policy, and other sources to help MERL actors apply the LCS principle “plan for and measure performance improvement in collaboration with local partners” to their work. The information and resources here can be used to design, implement, and learn from MERL capacity strengthening focused on improving performance according to locally identified priorities and metrics. Information on localization and partnership practices is also included to help readers understand how these concepts intersect with effective capacity strengthening.
Shortname: SR-24-266
Author(s): Liz Millar, Tory Taylor
Year: 2024
Language: English