Browse Resources

This document provides users with access to a data quality assessment checklist which can be used by operating units when creating data quality assessments.
USAID Contribution
This resource provides guidance and a template for developing a schedule of performance-management tasks and associated resources.
USAID Contribution
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).
Community Contribution
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...
Community Contribution
Screencast: Complexity-Aware Monitoring Discussion Note
USAID Contribution
This presentation provides an overview of best practices in outcome mapping in order to further the use and development of outcome mapping and the outcome mapping learning community.
Community Contribution
This guidance provides information on conducting an After Action Review (AAR), including goals, assumptions/requirements, how tos, lessons learned/best practice, and resources.
USAID Contribution
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.
Community Contribution
The MEASURE DHS STATcompiler allows users to make custom tables based on hundreds of demographic and health indicators across more than 70 countries.
Community Contribution
This presentation demonstrates a soup to nuts KM approach, from assessment stages and tools to performance indicators.
Community Contribution
| By A. Kosilov

Pages