Frustrated with having to wade through arbitrary lists of restaurants found in most recommendation services, dopl wanted to create a more intelligent alternative to help users find what they are looking for. In their quest for “a better recommendation engine”, the dopl team designed a method for leveraging user activities to provide individually-tailored recommendations. They came to Dogfish to help bring that method to life in an iPhone application.
Our design team worked with dopl to incorporate their service into an intuitive, entertaining user interface that uses built-in iOS features to provide a full-service recommendation application. The app includes experience-based categories, such as ‘lunch with kids’ and ‘impressive date’, instead of the typical cuisine-base options. It uses fully-integrated location services to find nearby restaurants and to provide directions to get you there. Built-in questionnaires help the app continually customize the user’s experience. And integrated gamification is included to encourage a little competition and a sense of achievement.