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...
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
Monitoring and evaluation (M&E) is critical to all USAID programs for accountability reporting, measuring impact, and informing ongoing strategic management decisions. The principal lesson learned from the Office of Transition Initiatives’ (OTI) 15 years of experience operating in complex, dynamic, and...
Have you ever experienced challenges making decisions with a large and diverse group of actors from USAID Missions/OUs and implementing partners – especially when trying something new?It’s a good time to think about how the Agency’s approach to shared decision-making affects innovation throughout the Program Cycle,...
As part of the Learning About Learning (L-squared) initiative, this one-pager describes lessons learned on the importance and role of feedback loops from the KDMD experience including a definition, value proposition, implementation process and recommendations, and a mini-case study.
Written for non-profits, implementing partners can use this to support their monitoring, while USAID can use it for learning about their programs through monitoring CDCS/ CLA.
This report presents background information and key content related to a USAID-sponsored workshop on Theories of Change Indicator Development.
The purpose of this Toolkit is to provide USAID staff and partners with practical resources for a critical aspect of managing for results -- developing and implementing a performance management plan (PMP).
This assessment guide outlines and identifies assessment objectives, participants, organization/facilitation, and result interpretation of health information systems.