Inaccessible interfaces, screen reader incompatibility and unintuitive layouts limit independent use and create “partial inclusion.” Two main issues limit inclusion in India and much of the world.

How can we better understand our customers? FINCA is using locally trained AI to listen beyond structured questions, analyzing the subtleties of emotional expressions to support impact evaluation and product development. 

This study examined how financial literacy and interest rate conditions influence borrowing behavior among small borrowers in Asante Akim North Municipality of the Ashanti Region of Ghana. 

The report shares field-grounded evidence from Ratanakiri, Cambodia, on how borrowers experience debt stress, what helps them act more confidently, and where provider and regulatory systems still fail to convert customer effort into protection.

This study explores how four financial institutions serving diverse populations in Nigeria, Dominican Republic, Brazil and the Philippines are implementing products and solutions to reach the underbanked and support them on the financial inclusion journey toward financial health.

This financial diaries study follows a previous randomized controlled trial of Grameen America's program of group-based microloans for women, aiming to answer the question: how could improvements across multiple aspects of borrowers’ financial lives occur despite only modest increases in monthly net income? 

As open finance regimes proliferate, consumer experience frameworks must lay the foundation for consumer empowerment and protection.

This study follows small businesses in low-income communities across Colombia, Nigeria, Kenya, Ethiopia, and Indonesia to show how unpredictable week-to-week income and expenses shape everyday business decisions.

A pilot program in India helped low-income women entrepreneurs grow their savings and integrate into the formal financial system.

Women-centered design and a strong coalition of partners are expanding business growth opportunities for VSLA members through a data-driven approach to credit assessment.