The Discussion Note defines Third-Party Monitoring (TPM) and provides information on key considerations when utilizing it. Created using interviews with TPM practitioners and USAID managers, the Discussion note provides suggestions for how to most effectively utilize TPM, how to design TPM systems, and important ethical...
The ongoing COVID-19 pandemic is having a significant impact in countries around the world, and USAID and its partners are responding to the pandemic at home and abroad. As we respond, we continue to monitor, evaluate and learn from our programs in the changing operating environment. With limitations on travel, remote...
Compiled in partnership between the U.S. Global Development Lab’s Office of Evaluation and Impact Assessment (Lab/EIA) and the USAID LEARN contract, Learning (in the) Lab: A Utilization-Focused Learning Playbook is designed to share with our colleagues the tools and resources we’ve used to design, develop, implement, and iterate upon a bureau-wide, utilization-focused learning agenda called the Lab Evaluation, Research, and Learning (ERL) Plan.
A guide on local philanthropy as an element of societal self-reliance.
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.
This resource, part of the context-driven adaptation collection (see https://usaidlearninglab.org/context-driven-adaptation-overview), provides tips on how to enable context-driven adaptation, or thinking and working politically (TWP), within a USAID strategy. It also relates TWP to the journey to self-reliance. As...
CLA and Developmental Evaluations
Tips for Creating a Learning Agenda
A Discussion Note introducing the concepts of complexity and its relation to USAID programming. The paper outline five complexity-aware monitoring methods