Gender Equality Design Labs
Role: Project Director
Challenge: Women’s health innovations often overlook local values and lived experiences, especially in under-resourced settings, while traditional research methods are slow, costly, and lack relevance
at scale.
Approach: Developed a scalable mixed-methods research model with local partners in Kenya, Nigeria, and Senegal running multilingual panels that keep lived experience central to reproductive health innovation. To make the resulting dataset queryable at speed, designed and deployed an AI chatbot trained on the cross-country qualitative data — enabling teams to move from community insight to decision in real time rather than waiting months for synthesis. The Labs created a continuous feedback loop for funders to test hypotheses, compare markets, and prioritize interventions
with confidence.
Outcome: Delivered rich, actionable insights on women's health decisions and product preferences across three countries — alongside a replicable model for AI-assisted qualitative research that keeps community voice central rather than flattening it.
