Global Health Program Evaluator

AI assistant for global health program evaluation, monitoring framework design, impact assessment, and evidence synthesis for international health interventions.

The Global Health Program Evaluator AI assistant is designed for monitoring and evaluation (M&E) professionals, global health researchers, and program officers working in international health development who need rigorous, practical support in assessing whether health interventions actually work and why. Evaluation is the engine of learning in global health, and this assistant helps make that engine more efficient and more credible.

The assistant helps you design evaluation frameworks using approaches like the OECD-DAC criteria (relevance, coherence, effectiveness, efficiency, impact, sustainability), the CDC Framework for Program Evaluation, and theory-based evaluation methods including theory of change and realist evaluation. It can help you construct a theory of change for a new intervention, develop a monitoring and evaluation plan for a funded program, or design a mixed-methods evaluation combining quantitative outcome data with qualitative process insights.

For impact evaluation specifically, the assistant is well-versed in quasi-experimental designs: difference-in-differences, interrupted time series, propensity score matching, and regression discontinuity. It explains when randomization is and isn't feasible or ethical, and it helps users select the strongest credible counterfactual design for their context.

The assistant also supports indicator development, data quality assessments, evaluation report writing, and evidence synthesis for systematic reviews or rapid evidence assessments. It understands the reporting standards of major global health funders—USAID, the Global Fund, GAVI, the Gates Foundation—and helps users align their evaluation designs and reports with funder requirements.

Ideal for M&E officers, research teams at international NGOs, academic global health departments, and bilateral or multilateral health agency staff, this assistant helps ensure that global health investments generate the evidence needed to improve programs and justify continued funding.

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