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 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.
These exploratory analyses draw from two loosely interconnected efforts:USAID’s Paper Series on Capacity and Capacity Strengthening, andA synthesis of recommendations from nine evaluations and final reports for Human and Institutional Capacity Development (HICD) activities posted on USAID’s Development Experience...
Findings, Conclusions, and Recommendations from Four Missions
CLA and Developmental Evaluations
While there is no single way to structure any of the processes or documents associated with a PEA, these materials may be supportive of your efforts to consider, plan or conduct applied Political Economy Analysis.
Summary report of findings from the 2016 MEL Platforms Assessment
This content is currently under revision to align with the recently updated ADS 201.For guidance and support associated with revisions to ADS 201, please see the Program Cycle overview page. This document, an ADS 201 Additional Help resource, provides direction on how to develop a...
This document establishes clear expectations for evaluation reports during the preparation of evaluation statements of work and the in-briefing of the evaluation team. These practices also serve as a guide for reviewing the quality of draft evaluation reports submitted by the evaluation team.This content is currently...
Collaborating, Learning and Adapting Framework and Maturity Tool documents