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is paper describes design principles for and the implementation of Gavagai Explorer-a new application which builds on interactive text clustering to extract themes from topically coherent text sets such as open text answers to surveys or questionnaires. An automated system is quick, consistent, and has full coverage over the study material. A system allows an analyst to analyze more answers in a given time period; provides the same initial results regardless of who does the analysis, reducing the risks of interrater discrepancy; and does not risk miss responses due to fatige or boredom. ese factors reduce the cost and increase the reliability of the service. e most important feature, however, is relieving the human analyst from the frustrating aspects of the coding task, freeing the e ort to the central challenge of understanding themes. Gavagai Explorer is available on-line at h p://explorer.gavagai.se CCS CONCEPTS •Information systems → Clustering; Online analytical processing; •Human-centered computing → User interface design;