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).
The engagement grid below outlines a variety of approaches to conducting learning activities to help answer learning questions. Often, we rely on approaches that we have used in the past without pausing to reflect on whether those approaches are the best fit given our learning questions. This grid is intended for use by...
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
The Local Solutions team is happy to endorse the Organizational Performance Index (OPI) tool as an appropriate indicator for tracking organizational capacity development. The OPI was developed by Pact but is freely available for public use through a Creative Commons license provided credit is given. OPI as an index...
This webinar is part of a four-part series on monitoring and evaluation. It provides guidance to develop and implement an M&E system for project planning, implementation, and evaluation.
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.
Partnership Defined Quality Monitoring and Evaluation Toolkit provides a set of tools including supervisory checklists, mapping tools and an exit interview to support the implementation of PDQ.
This power point presentation reviews metrics over a Community of Practice's life cycle.
This assessment guide outlines and identifies assessment objectives, participants, organization/facilitation, and result interpretation of health information systems.