The Discussion Note defines Third-Party Monitoring (TPM) and provides information on key considerations when utilizing it. Created using interviews with TPM practitioners and USAID managers, the Discussion note provides suggestions for how to most effectively utilize TPM, how to design TPM systems, and important ethical...
This document provides users with access to a data quality assessment checklist which can be used by operating units when creating data quality assessments.
This PMP is an illustrative example intended to provide ideas for how Missions can utilize the revised ADS 201 requirements for PMPs, found in section 126.96.36.199. A key revision to PMPs is the new requirement to identify learning priorities with plans for how to address them through monitoring, evaluation, and CLA. The...
This resource provides guidance and a template for developing a schedule of performance-management tasks and associated resources.
Using complexity science and program theory to tailor your adaptive management system
The Global Learning for Adaptive Management (GLAM) is an initiative envisioned as a globally networked learning alliance that aims to actively identify, operationalise and promote rigorous evidence-based approaches to adaptive management. GLAM has a legacy of research on effective monitoring, evaluation and learning (MEL) for Adaptive management (MEL4AM) and a library focused on adaptive and MEL4AM work.
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).
Findings, Conclusions, and Recommendations from Four Missions
A review of how systems thinking and political economy lenses fit together.
Techniques for achieving results and tracking progress in the fluid and rapidly changing operating environment of authoritarian-ruled Belarus.