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Audience This guidance is primarily aimed at development and humanitarian professionals who design or manage monitoring and evaluation processes to support design and implementation of qualitative monitoring using Most Significant Change (MSC), Outcome Harvesting (OH), or Outcome Mapping (OM), which are participatory, outcome-focused qualitative methods. Purpose This guidance is a resource to strengthen qualitative monitoring, specifically addressing commonplace gaps or weakness in the...
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The Method Positive Deviance (PD) is based on the observation that in every community or organization, there are a few individuals who achieve significantly better outcomes than their peers, despite having similar challenges and resources. These individuals are referred to as positive deviants, and adopting their solutions is what is referred to as the PD approach¹. The method described in this Handbook follows the same logic as the PD approach but uses pre-existing, non-traditional data...
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This report presents six learnings from four pilot projects conducted by the Data Powered Positive Deviance (DPPD) initiative, a global collaboration between the GIZ Data Lab, the UNDP Accelerator Labs Network, the University of Manchester Center for Digital Development, and UN Global Pulse Lab Jakarta. The pilots seek out grassroots solutions to development challenges that range from the interaction between livestock farming and deforestation to gender-based violence and insecurity in dense...
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This project that ran from 2006-2012 in Niger and was implemented by three NGOs: CRS, Cooperative for Assistance and Relief Everywhere (CARE), and Helen Keller International (HKI) under the direction of United States Agency for International Development (USAID) Office of Food for Peace (FFP) as a multi-year assistance program (MYAP) to support food security activities in the Dosso, Tahoua, and Zinder regions. PROSAN focused on increasing agricultural production and agro-enterprise, improving...
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