Survey & Elicitation Methods
Techniques for asking sensitive, complex, or preference-based questions — from randomised response to willingness to pay.
Behavioral & Preference Measurement
Incentivised tasks for eliciting risk aversion, time preferences, and social preferences under real stakes.
Measurement Validity & Scale Construction
Methods for aggregating multiple measures into indices, and for testing whether a scale measures what it claims to measure.
Data Quality & Validation
Tools for detecting enumerator effects, attrition bias, digit heaping, and other threats to data integrity.
Experimental Design
Methods for designing randomized evaluations — stratification, clustering, multi-arm designs, and managing spillovers.
Qualitative–Quantitative Integration
Approaches for combining qualitative and quantitative methods — from FGDs that validate surveys to outcome mapping and most significant change.
AI-Assisted Field Research Methods
Emerging AI techniques applied to field research — computer vision, NLP, and machine learning for measurement and data quality.