is paper describes design principles for and the implementationof Gavagai Explorer—a new application which builds on interactivetext clustering to extract themes from topically coherent text setssuch as open text answers to surveys or questionnaires.An automated system is quick, consistent, and has full coverageover the study material. A system allows an analyst to analyze moreanswers in a given time period; provides the same initial resultsregardless of who does the analysis, reducing the risks of interraterdiscrepancy; and does not risk miss responses due to fatige orboredom. ese factors reduce the cost and increase the reliabilityof the service. e most important feature, however, is relievingthe human analyst from the frustrating aspects of the coding task,freeing the eort to the central challenge of understanding themes.Gavagai Explorer is available on-line at hp://explorer.gavagai.se