About Sudaba Parnian Ahmadi
Sudaba Parnian Ahmadi is an evaluator and analytics specialist with more than a decade of experience supporting process, outcome, implementation, and systems-level evaluations across public health, higher education, international development, and global health systems. A Fulbright scholar, she is recognized for bridging qualitative insight, quantitative evidence, and practical decision-making.
Her work focuses on helping organizations understand not only whether programs are working, but how, why, for whom, and under what conditions. She brings a systems-thinking lens to evaluation, connecting data, people, context, and resources to support stronger programs and more strategic decisions.
Experience Across Sectors:
Sudaba’s work spans the United States and global settings, including public health laboratory systems, higher-education reform, international development, and UN- and World Bank–supported initiatives. She has led and supported mixed-methods evaluations, workforce studies, organizational assessments, survey research, and performance measurement systems across nonprofit, governmental, academic, and global development contexts.
Her multi-sector background allows her to work across technical, programmatic, and leadership spaces, translating evidence into insights that are useful for both implementation teams and decision-makers.
Areas of Practice
Sudaba’s evaluation and analytics practice includes:
Process, outcome, implementation, and systems-level evaluation
Mixed-methods study design and measurement frameworks
Survey design, analysis, and reporting
Workforce analytics, retention studies, and organizational assessments
Focus groups, key-informant interviews, and stakeholder consultations
Performance measurement systems, indicators, and dashboards
Cost-inclusive evaluation and resource-allocation analysis
Data storytelling, impact briefs, and decision-support materials
Translating findings into practical recommendations for program improvement
What Guides My Work
At the center of my work is a commitment to making evaluation useful. I am especially interested in approaches that help organizations move from data collection to learning, from reporting to decision-making, and from isolated findings to stronger systems. My work often brings together technical rigor, stakeholder voice, and practical application so that evidence can support meaningful improvement.
For collaboration, speaking, writing, or evaluation-related opportunities, please connect with me on LinkedIn or reach out by email.