USAID's Collaborating, Learning, and Adapting principles and approaches help staff and partners to work more effectively with local actors, country partners...
Evaluation syntheses are analytic reviews of evaluations that aggregate findings from evaluation reports and/or examine the quality of the evaluations reviewed. This Discussion Note, Making Evidence Accessible through Evaluation Synthesis, focuses on two common types of evaluation syntheses that USAID commissions:...
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...
In the first week of 2018, USAID's Center of Excellence on Democracy, Human Rights, and Governance hosted an excellent presentation and discussion with Milica Panic, the chief of party of the Liberia Accountability and Voice Initiative (LAVI), implemented by DAI. LAVI is considered an archetype example of a program...
CLA and Developmental Evaluations
This learning note and presentation describes some of the ways the USAID/Honduras funded Transforming Market Systems (TMS) Activity has used the USAID Local Systems Framework to discover, craft interventions, and monitor and evaluate changes in the feedback loops which underlie performance patterns of Honduran market systems.
This learning note and presentation describes some of the ways the USAID/Honduras funded Transforming Market Systems (TMS) Activity has used the USAID Local Systems Framework to discover, craft interventions, and monitor and evaluate changes in the feedback loops which underlie performance patterns of Honduran market systems.
Using large-scale surveys to understand context and address learning needs
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
