Preference elicitation Preference elicitation in household surveys and lab-in-the-field experiments are designed to understand core beliefs and preferences.
Data science and engineering IDinsight uses data science to support decision-makers to better predict, optimize, or model important program outcomes to amplify social impact.
Monitoring systems Monitoring systems efficiently capture reliable data, providing visualization and analysis to identify triggers for action.
Learning partnerships Learning partnerships are long-term often embedded engagements to answer important questions as they arise using a broad methodological toolkit.
Quick turnaround surveys IDinsight recruits, trains, and supervises survey data collectors to conduct rapid telephone or in-person surveys.
Capacity building Capacity building bolsters clients’ skills and knowledge to strategically use evidence and data to meet their goals.
Process evaluation Process evaluations can help decision-makers understand if their program is running as expected.