Divided into teams of four, students spend the summer analyzing a complex problem such as a work-flow snag in the health care industry.

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We put everyone together and started analyzing the best way to solve the problem.

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The first step was to figure out the dimensions of the problem, which required analyzing a sample of Examiner stories and dividing them into four categories: very good or better (20 percent of the sample), good (30 percent), acceptable (20 percent) and poor (30 percent).

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Feith: If the -- yeah, I mean, if the connection is that a team that is analyzing a policy problem by looking through a lot of intelligence is going to generate a briefing that is going to come to the attention of various offices -- I mean, that's true.

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