A bilingual concept-testing toolkit designed to evaluate motor insurance product preferences among informal sector workers in India. Working alongside BFA Global's in-house research team, my role spanned information architecture and visual communication — structuring how feature combinations were presented across four product packages, and designing the illustrated cards with the help of Google Gemini's Imagen model and handmade sketches — that made complex insurance concepts (wage loss cover, partner networks, comprehensive vs. own damage) legible to Hindi-speaking respondents with varying financial literacy. The toolkit was used as a discrete choice research instrument, with the IA influencing the quality and reliability of the data collected.