Research, Femtech, Data Science.
strongly to the shift of hormones. And it wasn’t an outlier: it’s another profile of women. We found that fascinating, as one size does not fit all, and we should always be on top of our own data, and as a company, analyze and critique constantly our assumptions and learnings. Another anecdote (not