Disclaimer: I co-founded Everlane (http://everlane.com), although I left to start Dev Bootcamp (http://devbootcamp.com) last January. I'm just speaking for myself.
First, look at the error bars. 100.0% (+0.0/-79.3) Saying "the sample size is too small" doesn't even do it justice. Looking at numbers like this will put you in a mindset where you make silly decisions because, hey, they're numbers! They're objective!
Second, this is not how fashion works. As a rule I don't trust survey results early on in a product life cycle -- customer's don't have sufficient context, so you're learning more about their predispositions and biases than their actual attitudes about your (potential) product.
Talking "scientifically," there's a huge uncontrolled variable here: brand. Would women share their measurements with Hermès if it meant proper sizing? How many women who shop for high-end clothes employ something like a personal shopper? What about stores that sell more intimate products, like lingerie? How about wedding gowns? Of course a woman would share he measurements to get fitted for a high-end wedding gown.
I have yet to commit any capital or conduct any surveys and already I feel like I have a decent framework for approaching these issues. If there are high-end retailers with whom women are comfortable sharing their measurements, what is it about those retailers that makes them comfortable?
Why would a woman be willing to share her measurements with Hermés but not Ross Dress for Less?
IMO that's a 1000x better starting point than the one asked in the survey.
This survey is neither reliable nor valid.