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 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).
CLA and Developmental Evaluations
Six Simple Questions to Help Identify Your Monitoring and/or Evaluation Need
Cracking the Nut Health: The Role of Communities in Building Resilient Health Systems: Lessons from the 2016 Conference
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...
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...
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.
Five Things Every Practitioner Should Know about M&E for Value Chain Projects
Tacit Knowledge in Value Chain Monitoring