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Helping USAID/Mozambique Make Informed Decisions

In Mozambique, we provide a wide range of training, logistical and technical support in monitoring, evaluation and learning (MEL) integrated into a Collaboration, Learning and Adapting (CLA) framework through the USAID-funded Monitoring and Evaluation Mechanisms and Services (MMEMS) program.

Our wide-ranging support empowers the Mission to make better evidence-based decisions. Within the first two years of the program, our teams have performed studies, evaluations and assessments for all technical offices, which have contributed to Mission decision-making and influenced future programming. 

In an average week, our staff supports numerous teams across the Mission and in the field, manages several ongoing evaluations and studies and conducts training for Mission staff as well as other implementing partners. We are currently conducting evaluations and reviews in agriculture, policy reform, education, family planning and advocacy and a study on the relative costs and benefits of different modes of social and behavioral change to combat malaria.

We have also improved the Mission’s ability to obtain useful monitoring data when it is needed. We have installed a mission-wide performance monitoring system to fill a critical gap and used MEL activity plan improvement interventions to bolster the Mission’s MEL capacity.

We are also providing innovative approaches to solving complex evaluation problems. In support of USAID/Mozambique’s ambitious flagship education project, VamosLer, our team has developed a hybrid evaluation approach that will continuously provide data over the five-year life of the activity using a mix of repeated qualitative and quantitative approaches.

We have introduced the Rapid Management Review and creative application of computer-assisted telephone interviews (CATI) to learn from implementation experience and plan interventions as well as to monitor health processes and outcomes at the provincial level. We are currently preparing to roll out Learning Corrals and experimenting with the optimal application of drone technology to support MEL and communications.