A Discussion Note introducing the concepts of complexity and its relation to USAID programming. The paper outline five complexity-aware monitoring methods
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 18.104.22.168. 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 Note defines impact evaluations, explains when they should be commissioned according to USAID policy and describes different designs for quasi-experimental and experimental impact evaluations.
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
Webinar on Data-Sensing & Data Mapping Tools for evaluation
Over the past five years, the DRG Center's Learning Division has implemented a learning agenda initiative to support evidence generation on key DRG topics. On October 20, 2020 this session was held to discuss the journey so far and plans for the next generation learning agenda. The DRG Center also shared a useful tool...
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.