At EyeCity, our experimental and quasi-experimental research service is designed to provide a rigorous and reliable way to understand the causal effects of an intervention or policy.
Our expert team has extensive experience designing and implementing experiments and quasi-experiments to answer complex research questions. Using advanced econometric techniques such as propensity score matching, instrumental variables, randomized controlled trials, and difference-in-differences, we control for selection bias and work with our clients to identify causal effects with high accuracy.
Our services include:
M&E is an essential component of program management. Our Program Monitoring and Evaluation (M&E) service helps organizations measure the effectiveness of their programs and initiatives and make data-driven decisions for improvement.
Using a range of tools, such as performance indicators, log frames, and results frameworks, tailored to their specific needs and context to measure the impact of their initiatives, we:
Building M&E capacity is essential for organizations to measure and improve the impact of their programs. At EyeCity, our Monitoring and Evaluation (M&E) Capacity Building service helps organizations to build the skills and knowledge needed to design, implement and use M&E systems effectively. Our services include:
We empower organizations to design and implement effective M&E systems that support data-driven decision-making and continuous improvement.