FeedFinder app: TripAdvisor for breastfeeding

Digital Health

Abstract

Find breastfeeding friendly places across the world.

Method

FeedFinder is a free mobile app that aims to support breastfeeding women by helping them find breastfeeding-friendly places in their community.

Takeaways

Since its launch FeedFinder has had over 12,000 registered users, and 5,000 reviewed and rated venues.

Across Britain, one in ten women choose not to breastfeed due to fear of breastfeeding in public. FeedFinder is a free mobile app that aims to support breastfeeding women by helping them find breastfeeding-friendly places in their community.

Women can use FeedFinder to search for and view places on the map where other women have previously breastfed, and contribute their own experiences of a new or existing venue.

Designed and developed in collaboration with 30 new mothers across the North East, the review criteria in the app is carefully crafted to meet women’s breastfeeding needs: comfort, hygiene, privacy and baby facilities.

There is significant potential for organisations to be motivated to act on reviews from FeedFinder; for example, by contacting businesses with negative comments while commending those receiving consistently good ratings.

There is also a Feed Finder dashboard, giving people greater access to breastfeeding locations from the FeedFinder mobile application.

Download the FeedFinder app on the App Store or on Google Play.

Highlights

  • Feedfinder has been featured on Sky News, BBC News, the Journal and the Metro.
  • Since its launch FeedFinder has had over 12,000 registered users, and 5,000 reviewed and rated venues.
  • FeedFinder was awarded a Digital Economy Social Impact award from the Engineering and Physical Sciences Research Council for research that rapidly realises the transformational impact of digital technology on community life, cultural experience, future society and the economy.

Publications

FeedFinder: A Location-Mapping Mobile Application for Breastfeeding Women

  1. Balaam M
  2. Comber R
  3. Jenkins E
  4. Sutton S
  5. Garbett A

2015Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems