The Global Learning for Adaptive Management (GLAM) is an initiative envisioned as a globally networked learning alliance that aims to actively identify, operationalise and promote rigorous evidence-based approaches to adaptive management. GLAM has a legacy of research on effective monitoring, evaluation and learning (MEL) for Adaptive management (MEL4AM) and a library focused on adaptive and MEL4AM work.
This Note defines impact evaluations, explains when they should be commissioned according to USAID policy and describes different designs for quasi-experimental and experimental impact evaluations. USAID is updating the 2013 Technical Note on Impact Evaluations. Stay tuned for the updated content in 2020.
This resource provides guidance and a template for developing a Performance Management Plan (PMP) task schedule.
CLA and Developmental Evaluations
A Discussion Note introducing the concepts of complexity and its relation to USAID programming. The paper outline five complexity-aware monitoring methods
This policy update is the work of USAID’s Bureau for Policy, Planning and Learning’s Office of Learning, Evaluation and Research (PPL/LER). This update had been made to ensure consistency with revisions to USAID’s Automated Directives System (ADS) Chapter 201 Program Cycle Operational Policy,...
USAID is committed to full and active disclosure of evaluation reports, methods, findings, and data produced by the Agency or partners receiving USAID funding. This is guided by Agency policies and directives, including the USAID ADS Reference 201mae and ADS 540 – Development Experience Information. These direct that...
This resource is available to USAID staff only. Click on the link to view it on ProgramNet.
USAID's Regional Development Mission for Asia (USAID/RDMA) and the United Nations Evaluation Development Group for Asia and the Pacific (UNEDAP) cohosted the Asia Regional Evaluation Evidence Exchange, which was held from October 19 to 20, 2015, at USAID/RDMA’s Asia Regional Training Center in Bangkok, Thailand.
Qualitative Methods and Approaches