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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...
USAID Contribution
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 PMP is an illustrative example intended to provide ideas for how Missions can utilize the revised ADS 201 requirements for PMPs, found in section 201.3.2.15. 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...
USAID Contribution
This resource provides guidance and a template for developing a schedule of performance-management tasks and associated resources.
USAID Contribution
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.
Community Contribution
Findings, Conclusions, and Recommendations from Four Missions
Community Contribution
CLA and Developmental Evaluations
Community Contribution
USAID’s evaluation policy and the integration of aid effectiveness principles in our work created an important impetus for USAID/Peru to incorporate Monitoring & Evaluation (M&E) capacity building as a specific focus of our assistance. As we increasingly worked directly with local partners, it became clear that...
Community Contribution
Frequently asked questions on USAID/Brazil performance monitoring indicators
Community Contribution
Summary report of findings from the 2016 MEL Platforms Assessment
Community Contribution

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