The Additional Help: Data Disaggregation by Geographic Location has been updated to reflect the recently updated ADS 201. The Country Example and Checklist are currently under revision to align with the recently updated ADS 201.For guidance and support associated with revisions to ADS 201, please see the Program...
This document provides supplemental guidance to ADS 22.214.171.124 Indicator Targets, and offers guidelines and good practices for USAID and its partners to set targets for performance indicators, use targets to compare to actual data, and adjust targets when necessary.Targets help USAID staff, IPs, and other partners...
This document provides users with access to a data quality assessment checklist which can be used by operating units when creating data quality assessments.
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...
The purpose of this document is to provide a foundational understanding of probability sampling to USAID staff to equip them as well-informed commissioners and consumers of surveys, evaluations, and other products (hereafter referred to as studies) that require probability sampling. We hope that it will serve as a resource for commissioners to make informed decisions about surveys and to use monitoring, evaluation, and learning (MEL) resources effectively. The main audience for this document includes monitoring, evaluation, and learning specialists, Contracting Officer’s Representative (CORs), and Agreement Officer’s Representative (AORs).
This guide provides information for Agency staff and implementing partners on remote monitoring techniques and when they can be employed.
A review of how systems thinking and political economy lenses fit together.
Reports on data quality for standard indicators of USAID Brazil's Amazon Biodiversity Conservation program
How to ground programming by making sense of data with stakeholders
Youth unemployment and underemployment is a major development challenge around the world and particularly in Kenya which has one of the highest rates of youth unemployment globally. This case explores the CLA approach of Kenya Youth Employment and Skills Program (K-YES), a five-year program funded by USAID that enhances employment opportunities for unemployed and underemployed Kenyan youth (aged 18-35) who have not completed secondary education.