Master Thesis Bark

Success comes with great collaboration. Every project brings challenges, where decisions have to be made. Every person involved in the decision process may have a different opinion on how things should be. This often results in time consuming meetings and conference calls before a consen- sus decision can be made.
Bark helps a group of people prioritize a list of items (e.g. tasks, features, company benefits, etc.). Each person contributes their opinion, and Bark calculates a recommendation based on the overall result of the participants votes (wisdom of the crowd). A report helps to make faster and better de- cisions.
The project was conducted at ZURB in Campbell, California, using their pro- prietary ZURB Design Process1. Prior to the ZURB on-site stay, the team held several interviews in Switzerland and researched the field of collabo- rative ranking. During the on-site stay, the team spent most of the time on the interaction design. Over the course of 12 iterations, a solid interaction concept was designed and validated. Within a 48 hours Rails Hackathon2, the concept was implemented by ZURB engineers and later released under barkapp.com.