Monitoring and Evaluation

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CARD PPI Mini Case Study

In 2009, the Grameen Foundation selected CARD Bank, a Philippine microfinance institution (MFI) with over 580,000 clients, to participate in its Microsavings Initiative. This case study describes how CARD Bank has used the PPI to identify opportunities for product cross-selling.

NWTF PPI Case Study

This case study describes how NWTF, an early adopter of the PPI, piloted and implemented the new poverty assessment tool. It outlines the experiences of NWTF management and staff as they made key decisions related to testing and data analysis.

MOTECH Lessons Learned

This document explains our MOTECH project in Ghana and highlights key lessons learned by the project team as the system was being designed, developed and implemented. Although MOTECH is viewed as a “technology project,” the majority of the lessons learned are around operational issues, cultural components and operating with partners to make the project successful.

Double Bottom Line Business Case

Most economic development programs that aim to reach the poorest households have not been designed using a sustainable business approach. Instead, these programs have been developed as grants and charity-driven projects. While there is a role for grant-driven programs, organizations can also make sustainable business decisions to extend outreach to poorer populations in the medium to long term.

Change Leadership Study

Grameen Foundation’s holistic approach to microsavings provides the framework and tools to develop and offer convenient, accessible, and secure poverty-focused savings programs while building sound financial, organizational, and operational practices that help transform microfinance institutions (MFIs) from credit-led to demand-driven institutions.

Targeting the Poorest Case Study

Targeting and selecting groups for social development programs based on poverty levels can be a powerful first step in achieving greater impact. However, the complex nature of poverty often leads to processes that are accurate, but extremely customized, making it difficult to make comparisons across projects and geographies. This paper presents a methodology that aims to address both these issues.

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