Large gaps remain in women’s health data, limiting research and innovation. HER Heard is developing a research-grade women’s health data lake built from patient-reported outcomes, symptom diaries, and structured care journey data. This approach applies human-centered design and AI to convert lived experience into analyzable datasets. These data enable analysis of symptom patterns, treatment responses, and quality-of-life outcomes to support clinical research, AI development, and more personalized care.