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).
A Discussion Note introducing the concepts of complexity and its relation to USAID programming. The paper outline five complexity-aware monitoring methods
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
A learning agenda includes a (1) set of questions addressing the critical knowledge gaps impeding informed design and implementation decisions and (2) plans for learning activities to help answer those questions. A basic process for a learning agenda includes three key steps:Understanding the context Developing and...
This USAID Program Cycle Technical Note describes the 5Rs Framework and demonstrates how it can be applied to strengthen local systems and promote sustainability.
Outcome mapping is a methodology for planning, monitoring and evaluating development initiatives in order to bring about sustainable social change.
Gapminder is a data visualization tool for World Bank data. It includes links to various indicator databases maintained by organizations around the world and has links to numerous presentations on global trends
Mobile Data Collection Tool
An international collaboration to improve evaluation practice and theory by sharing information about options (methods or tools) and approaches.
This crowd sourcing effort involved volunteers who virtually collaborated with USAID staff to review Agency data on specific USAID economic growth activities, and help code that data with geographic information