Army Crew Team, The

Scott A. Snook; Jeffrey T. Polzer

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Case | HBS Case Collection | January 2003 (Revised March 2004)

Army Crew Team, The

by Scott A. Snook and Jeffrey T. Polzer

Abstract

The coach of the varsity Army crew team at West Point assembled his top eight rowers into the first crew team and the second tier of rowers into the second team using objective data on individual performance. As the second boat continually beat the first boat in races, the coach attempted to discern the team dynamics causing these aberrant results. By using very clean, objective performance data, the case makes clear that a team can be more (or less) than the sum of its individual parts, but allows students to analyze the factors that make this true.

Keywords: Groups and Teams; Performance; New York (state, US);

Format: Print

11 pages

Educators Purchase

Citation:

Snook, Scott A., and Jeffrey T. Polzer. "Army Crew Team, The." Harvard Business School Case 403-131, January 2003. (Revised March 2004.)

About the Authors

Scott A. Snook

MBA Class of 1958 Senior Lecturer of Business Administration

Organizational Behavior

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Jeffrey T. Polzer

UPS Foundation Professor of Human Resource Management

Organizational Behavior

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View Publications »

More from these Authors

Supplement | HBS Case Collection | February 2018

People Analytics at Teach For America (Data Set)

Jeffrey T. Polzer

This data set is a supplement to the People Analytics at Teach For America (A) case.

Citation:
Polzer, Jeffrey T. "People Analytics at Teach For America (Data Set)." Harvard Business School Spreadsheet Supplement 418-715, February 2018. View Details

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Case | HBS Case Collection | February 2018

People Analytics at Teach For America (A)

Jeffrey T. Polzer and Julia Kelley

As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization’s strategy, including recruitment and selection. A few months earlier, former TFA corps member Michael Metzger had spearheaded the launch of a predictive analytics team responsible for integrating strategy across TFA’s recruitment and admissions continuum. Metzger believed that predictive analytics could help address TFA’s recruitment and admissions challenges. Now, TFA’s senior management wanted Metzger and his team to put their data models to the test. From a data modeling standpoint, what variables and models should TFA consider as it began a new recruitment season, and more generally, how heavily should TFA rely on predictive models to reverse the negative trends?

Keywords: Recruitment; Analysis; Forecasting and Prediction;

Citation:
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. View Details

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Supplement | HBS Case Collection | February 2018

People Analytics at Teach For America (B)

Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques.

Keywords: Data and Data Sets; Forecasting and Prediction; Analysis;

Citation:
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 418-049, February 2018. View Details

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Army Crew Team, The

Abstract

Citation:

About the Authors

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