Monitoring, Evaluation & Learning

We help governments, foundations, development finance institutions, NGOs and the private sector understand what works, why it works, for whom, and how programmes can achieve greater impact. Our pan-African Monitoring, Evaluation & Learning practice combines rigorous evaluation methodologies with deep sector expertise, helping clients strengthen accountability, improve performance, demonstrate value for money and generate evidence that informs ongoing and future policy, programming and investment decisions.

• Monitoring systems & performance management: We design and strengthen monitoring systems, results frameworks, indicators, dashboards and performance management systems that enable partners to track implementation, measure progress and improve programme delivery.
• Independent evaluations: We design and deliver baseline, midline, endline, process, outcome and impact evaluations using rigorous quantitative, qualitative and mixed-method approaches to generate credible, independent evidence, including adaptive processes.
• Learning, adaptation & evidence use: We transform evaluation findings into practical learning through reflection workshops, learning agendas, evidence synthesis and adaptive management approaches that improve programmes while they are being implemented.
• Evaluation design & methodology: We develop robust evaluation designs including theory-based, experimental and quasi-experimental approaches, contribution analysis, realist evaluation, developmental evaluation and mixed-method designs tailored to complex development programmes.
• Results measurement & value for money: We help organisations measure effectiveness, efficiency, sustainability and value for money, providing decision-makers with the evidence needed to maximise development impact and accountability.
• Digital MEL & data Innovation: Where relevant we apply innovative digital technologies, real-time dashboards, mobile data collection, GIS, AI-enabled analytics and advanced visualisation tools to strengthen monitoring, improve data quality and accelerate evidence-based decision-making.