Monitoring, Evaluation, and Learning
We use qualitative and quantitative methods to provide comprehensive assessments of the impact of projects.
We have extensive experience in Monitoring, Evaluation, and Learning (MEL) in the field of international development. Our approach is rooted in the belief that sound MEL practices are essential to ensuring that programs achieve their intended impact and to supporting adaptive management and learning.
We apply rigorous MEL methods that are tailored to the context and needs of each program. We prioritize the use of mixed-methods approaches, drawing on quantitative and qualitative data to generate meaningful insights into program performance. Our team of MEL specialists has extensive experience in designing and implementing surveys, conducting key informant interviews, facilitating focus group discussions, and collecting data.
Our MEL approach is not limited to traditional methodologies. We also integrate data science into our work to ensure that our MEL practices are informed by sound statistical understanding. For example, we use data science to ensure that our sampling methods are robust. This allows us to generate reliable, unbiased data that can be used to make evidence-based decisions.
We believe that MEL is not only critical to ensuring program success, but that it also provides an opportunity for learning and adaptation. By integrating data science into our MEL approach, we are able to generate reliable, unbiased data that can be used to make evidence-based decisions and drive programmatic learning and adaptation.