Using data systems to improve delivery of a nutrition product to pregnant and lactating women


About the Event

This sessions will discuss how a balanced energy protein product rollout to pregnant and lactating women was optimized by moving to a digital data system. The system reduced the time it took to analyze data and respond to challenges in the field from weeks to a few days or less. The system improved efficiency of the field personnel who could focus on service delivery instead of filling laborious forms. The system proactively assisted field personnel in their work improving the performance of the field personnel. The session will highlight the benefit of this system in empowering female field personnel through spillover effects in their daily lives.


Name Title Biography
Dr. Clair Null Principal Researcher, Mathematica Clair Null is a principal researcher at Mathematica, specializing in providing full-service measurement, learning, and evidence support to foundations, governments, and development partners. Dr. Null has a Ph.D. in Agricultural & Resource Economics from the University of California, Berkeley and over 15 years of experience co-creating measurement systems and rigorous, mixed-methods evaluations in South- and South-East Asia and Sub-Saharan Africa. She has led MLE consortia supporting the Bill & Melinda Gates Foundation’s Balanced Energy Protein market tests in Pakistan and the foundation’s global Private Sector Partnerships for Nutrition initiative, and currently leads the team providing MLE services to the foundation’s Women’s Economic Empowerment strategy. Previously, Dr. Null was on the faculty of Emory University’s Rollins School of Public Health (Department of Global Health) and spent a year as a fellow at the Radcliffe Institute for Advanced Study at Harvard University.
Ayesha Tariq Project Manager, Balanced Energy Protein (BEP) – Pakistan Rural Market Test, Rural Support Programmes Network Ayesha Tariq is a development practitioner with seven years of experience in designing, managing and implementing multi-sector development programmes with a focus on rural development, as well as nutrition, maternal health, emergencies response and women’s empowerment. Currently, she heads a nutrition project funded by Bill and Melinda Gates Foundation.


Name Title Biography
Imran Zia Imran Zia helps private and public sector businesses and enterprises use data-driven and evidence-based analytic frameworks at CERP. He previously co-founded Sigmaud, a Data Science and AI company. Before that, he led SPRING Accelerator’s operations in Pakistan. At SPRING, he actively advised 11 social-focused startups to use the power of data, analytics, technology and human-centred design to scale the business by optimising product design, product feature selection, marketing, sales and service. Previously he co-founded Zaheen Machines, a company focused on building IoT devices driven by machine learning for energy efficiency. Its first product Jal Bujh converts legacy water heaters into energy-efficient smart appliances. Imran’s expertise are product strategy, product development and management, supply chain optimisation, data-driven evidence-based decision making and rule and machine learning-based systems. He has advised Fortune 500 businesses in supply chain and customer relationship management. He has been a past chairperson at PASHA, MD Pakistan Software Export Board and has held product development, management and consulting positions in Silicon Valley at Oracle, Altera (now Intel) and other startups. He holds an MBA from the University of Chicago and a Master’s in Electrical Engineering from Cornell University. He completed his Bachelor’s in Computer Engineering from the University of Engineering and Technology, Lahore.

Topics and Themes

Evaluation users Decision makers VOPEs / Evaluation networks Evaluation and transformational change: balancing ambition and realism Health

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