Twitter provides a search interface to its data, along the lines of traditional search engines. But the single ranked list is a poor way to represent the richly-structured Twitter data. A more structured approach that recognizes original messages, re-tweets, people, and documents as interesting constructs is more appropriate for this kind of data. In this paper, we describe a prototype for exploring search results delivered by Twitter. The design is based on our own experience with using Twitter search, and as well as on the results of an small online questionnaire.