About Sudaba Parnian Ahmadi
Sudaba Parnian Ahmadi is an evaluator and analytics specialist with more than a decade of experience supporting outcome, process, implementation, and systems-level evaluations across public health, higher education, international development, and global health systems. A Fulbright scholar, she is recognized for her ability to bridge qualitative insights, quantitative evidence, and practical applications—often serving as the link between data, people, and decisions.
Experience Across Sectors:
Ahmadi’s work spans the United States and global settings, including UN- and World Bank–supported initiatives, higher-education reform efforts, and public health laboratory systems strengthening. She has led outcome, process, and implementation evaluations across programs and systems, using approaches such as mixed methods, cost-inclusive reasoning, disbursement-linked indicators, performance-based financing, and resource-allocation frameworks.
Her multi-sector background enables her to work effectively across academic, nonprofit, governmental, and international development contexts.
Areas of Practice
Ahmadi’s evaluation and analytics practice includes:
Outcome, process, and implementation evaluation
Cost-inclusive evaluation, integrating cost data and economic reasoning into evaluation design, interpretation, and decision-making
Applying performance-based financing, resource-allocation frameworks, and disbursement-linked indicators (DLI)
Designing mixed-methods studies and measurement frameworks
Conducting SWOT analyses, organizational assessments, and evidence reviews
Leading focus groups, key-informant interviews, and interestholder consultations
Designing and analyzing national and international surveys
Developing dashboards, visual analytics, and data storytelling products
Translating findings into accessible reports, briefs, and decision-support materials
Supporting organizations in turning evidence into practical, actionable insights
Her broad skillset makes her a versatile, adaptable evaluator capable of bridging data, context, and decision-making.