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This template is an optional tool to help improve consistency across evaluation reports.
USAID Contribution
Form for Disclosure of Real or Potential Conflict of Interest for USAID Evaluations
USAID Contribution
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 has been...
USAID Contribution
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 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.
USAID Contribution
This resource provides guidance and a template for developing a schedule of performance-management tasks and associated resources.
USAID Contribution
Using complexity science and program theory to tailor your adaptive management system
Community 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

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