This project aimed to identify and solve user behavior friction in Google Pay’s payment insights experience, specifically why users disengage from spending insights despite frequent app usage. Over a 2-week period, I conducted both primary and secondary research, including user interviews, survey analysis, behavioral pattern study, and competitive benchmarking to uncover gaps between transaction data and meaningful behavioral understanding. This was a personal end-to-end product case study, covering problem discovery to solution design.

I used Google Forms for survey collection and analysis, ChatGPT Deep Research for market and behavioral insights, and built structured thinking frameworks like a KPI tree on Whimsical. For solution design, I created system user flows, UI analysis using Balsamiq, and finalized prototyping and documentation in Lovable and PowerPoint. The outcome was an AI-driven behavioral insights concept designed to improve user trust, engagement, and insight revisit rates.

Prototype Link - https://mindful-spend-story.lovable.app