We engage stakeholders and partners to develop theories of change, results frameworks, and indicators for systematic tracking of progress toward strategic goals. Data systems are designed and implemented to accommodate various types of data and include support for data visualization tools such as dashboards for real-time monitoring. Monitoring is integrated with continuous improvement and adaptive management practices.

We support stakeholders and programs to establish systems and practices that ensure data quality and facilitate use of data for improving performance and making decisions. We couple use of routine monitoring data with complementary methods like pulse polls, after-action reviews, and most significant change, to foster continuous learning and stronger program outcomes. We strengthen the capacity for data analysis and use practical tools to ensure that data informs action, linking data analysis to routine management activities and policy decisions.

We conduct high quality, demand-driven, implementation research that integrates rigorous scientific methods with deep understanding of practical realities. Our research focuses on understanding the feasibility, acceptability, effectiveness, and scalability of models of care, whether a new product or innovation is being introduced or a proven model is being scaled. Research embedded within programs aims to answer the right questions, at the right time, in the right place with the necessary rigor to inform decisions of health care providers, health systems actors, and policy makers.

We ensure that health program implementation and cost data is organized, analyzed, and visualized to facilitate the evaluation of intervention effectiveness, efficiency and overall impact. We design and implement comprehensive learning agendas, aligning evaluation and learning methods with adaptive management strategies to ensure ongoing refinement of approaches and interventions as necessary.